Product Features
Find out what has recently been changed in Emporix products.
Search for Custom Instances
Overview
The Search Service finds custom instances of a schema type. You define a search index for the fields you need, then search those instances by text or by exact values. A saved search keeps the index, filters, and query settings so the same search can run again with different text. You can also copy an index configuration from one tenant to another.
In the Management Dashboard, the Search Cockpit provides the same capabilities in a dedicated perspective: manage indexes and jobs, run searches, and keep saved searches. The cockpit is not enabled by default. Contact the Emporix Support Team to request access and have the initial setup prepared for your tenant.
New features
Search indexes
An index lists the custom-instance fields to search and how each field is stored: text, autocomplete, or an exact value. Creating or changing the field list runs as a job. When the job succeeds, the index is ready for search.
Teams choose which custom-instance data is searchable, and index changes finish in the background.
Custom instance search
A search runs against one ready index. The query can be free text, a phrase, an autocomplete prefix, or a wildcard. Filters narrow the result by equality, range, a list of values, existence, or text that contains a value.
Teams find custom instances by the words and values stored on them, without scanning every instance.
Saved searches
A saved search stores the index, filters, and query settings under an identifier. Running it sends new query text, which replaces the text of every stored query term. Saving a search does not rebuild the index.
Teams reuse a search definition and change only the text each time they run it.
Index configuration transfer
Export writes the configuration of selected indexes into one package. Import applies that package in another tenant. The package contains index settings only, not custom instances or index jobs.
Teams copy a working index setup to another tenant without recreating each field list by hand.
Search Cockpit
A Management Dashboard perspective with Indexes, Search, and Saved searches. Operators create and monitor indexes, build nested queries and filters, optionally use Ask assistant, and export or import index configuration.
Business users manage custom-instance search without calling the Search Service API directly.
Fixes and improvements
None as this is a new feature.
Known problems
The Search Service and Search Cockpit are in preview, and some features may not be fully operational.
Documentation and links
User Guides:
API Guides:
Vendor-Specific Coupons
Overview
Marketplaces can now run targeted promotions for individual vendors without discounts affecting products from other sellers.
Coupons can be restricted to one or more vendors, so promotions apply only to the products and order value associated with those vendors. This enables vendor-funded campaigns, provides clearer control over promotional costs, and makes discounts more predictable for marketplace operators, sellers, and customers.
For example, a marketplace can run a “10% off Vendor A” campaign while products from Vendor B or Vendor C remain completely unaffected.
Vendor restrictions can also be combined with existing category and customer segment restrictions, enabling more targeted campaigns such as “10% off Vendor A's shoes for selected customer segments.”
Existing coupons continue to work as before. The new behavior only applies when a vendor restriction is configured.
New features
Vendor-specific promotions
Restrict a coupon to one or more marketplace vendors. Only products belonging to the selected vendors are eligible for the promotion.
Turn vendor-funded promotions into a scalable sales tool. Run seller-specific campaigns without discounts affecting other vendors in the marketplace.
Vendor-aware discount calculation
Discounts and minimum order values are calculated using only products from the vendors assigned to the coupon. If no eligible vendor products are present, the coupon is not applied.
Improve promotional accuracy and cost control. Vendors only contribute to discounts on their own products, reducing disputes and manual corrections.
Targeted promotion rules
Vendor restrictions can be combined with existing category and customer segment restrictions.
Create more relevant campaigns. Target promotions by vendor, product category, and customer audience to support more sophisticated marketplace campaigns.
Vendor-aware free shipping
For vendor-restricted free-shipping coupons, every product in the cart must belong to one of the vendors configured on the coupon.
Keep shipping promotions predictable. Prevent vendor-funded shipping benefits from unintentionally covering products from other sellers.
Consistent checkout and order processing
Vendor restrictions remain associated with the promotion throughout checkout, including carts that are split into multiple orders, and are stored on the resulting orders.
Improve transparency from promotion to settlement. Maintain the information needed for vendor reporting, customer service, reconciliation, and payout processes.
Management Dashboard capabilities
Vendor restrictions are available directly in the Management Dashboard. Business users can assign vendors to coupons and identify which promotions are associated with each vendor.
Give commercial teams more independence. Create and manage vendor campaigns without requiring development support.
Automatic vendor validation
Selected vendors are validated when the coupon is saved. If a vendor is removed from the marketplace later, the corresponding restriction is automatically removed from the coupon.
Reduce operational maintenance. Keep promotion configurations clean and avoid invalid vendor references.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
API Guides:
Quotes Linked to Companies
Overview
B2B quotes are now linked to the company (legal entity) they were created for, instead of relying on a free-text company name. The link keeps quotes, approvals, and orders tied to the right organization, which matters most for customers who buy for several companies.
In the storefront, the quote list follows the company that the customer selected in the company switcher, and approval and permission checks use the same company. In the Management Dashboard, employees choose the company when they create a quote, and the form offers only the locations of that company.
The company object and the companyName field of quotes are deprecated and stay available for backward compatibility. Use the company link instead.
New features
Company link on quotes
A B2B quote takes the company of its cart, or the company that an employee chooses when creating the quote, and the company name is filled in automatically. Orders created from the quote keep the same company. In the Management Dashboard, you can select only locations of the chosen company. Changing the company clears the contact person and locations, and switching a quote to B2C removes the link.
Teams identify the organization behind a quote and its order without matching company names, and avoid mismatched addresses and contacts.
Company-based quote access
The Quotes list in the customer account shows only the quotes of the selected company. Approval and permission checks for a quote use the company of the customer's session. Quotes that are still being created no longer appear in the customer's list.
Customers in several companies keep the quotes of each organization separate, and only authorized people of the right company act on a quote.
Fixes and improvements
None as this is a new improvement.
Documentation and links
User Guides:
API Guides:
Agent Versions
Overview
AI agents now have a version history, so you can track changes to an agent's configuration and iterate on agent logic faster and more safely, without the risk of unexpected impact from prompt or model changes. Each save is recorded with its author, date, and an optional change note describing what was changed and why.
When an agent starts behaving differently, you can compare any earlier version with the current configuration to see exactly what changed. If a change did not work out, you can restore an earlier version. The restored configuration is saved as a new version, so the history stays complete.
New features
Change note
When you save an existing agent, you can add a short note that describes what you changed.
Teams record why an agent changed, so colleagues understand the change later.
Version history
The Versions tab of an existing agent lists the current configuration and earlier versions with the version number, author, date, and change note.
Teams see who changed an agent and when, without keeping a separate change record.
Version comparison
You can compare an earlier version with the current configuration. The comparison lists only the fields that differ and highlights the changed text.
Teams inspect the differences side by side and find what changed in a prompt, model, trigger, or tool without checking the whole configuration.
Rollback
You can restore an earlier version and state the reason for the rollback. The restored configuration is saved as a new version, and the earlier versions stay in the history.
Teams return to a configuration that worked, record why they did it, and the history remains complete.
Agent version in AI Logs
The Agent ID column in the Logs table of a request shows the agent version, for example complaint (v1). Entries without version information show the agent ID only.
Teams connect a log entry to the agent configuration that wrote it.
Fixes and improvements
None as this is a new feature.
Known problems
The AI Service has been recording agent versions since September 30, 2026, when the versioning changes were published in the API. For an agent that was saved before that date, the Versions tab shows only the last version that existed at that time, together with all the versions saved afterwards. Earlier versions were not recorded, so you cannot compare with them or roll back to them.
Each version keeps the number that the agent had when it was saved. This number is the metadata.version value of the agent, which you can also see in the responses of the AI Service API. For this reason, the oldest visible version of such an agent does not necessarily have the number 1.
Documentation and links
User Guides:
API Guides:
Cloud Function Usage
Overview
Your teams can return to the same cloud functions table after opening a function, and see how many times each function was called in the last 30 days.
Your teams keep the layout they chose while they move between a function and the hosting list. Functions with no recent calls appear first, so unused functions stand out in one scan instead of opening each function to check its traffic.
New features
Persistent cloud functions table
The cloud functions table layout stays in place when you open a function and return to the list. You can switch to a card layout, which clears that choice.
Teams keep a long list in the layout they chose while they move between a function and the hosting list.
Calls in the last 30 days
Each cloud function can show how many times it was called in the last 30 days, with the lowest counts first. You can reverse that order or show only functions with a specific count, including no calls.
Find functions with no recent calls in one scan, instead of opening each function to check its traffic.
Fixes and improvements
None as this is a new feature/improvement.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
MS Teams AI Tool General Availability
Overview
The MS Teams AI Tool is now generally available for Emporix Agentic AI. You can configure a Microsoft Teams tool instance in your tenant, attach it to custom or library agents, and collaborate in channels or group chats without leaving Teams.
New features
MS Teams AI Tool general availability
The native Microsoft Teams communication tool is a supported production capability. You can attach it to custom or library agents and collaborate in channels or group chats.
You can use Microsoft Teams as a collaboration channel for Agentic AI without a preview limitation.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
API Guides:
Agentic Skills
Overview
Emporix Skills is a curated, Emporix-validated library of implementation know-how for partners and clients who build with AI coding agents. The skills give every developer's agent the same proven Emporix practices, so teams spend their time on client and business needs instead of working out the platform again on each project.
That speeds up time to value and keeps every implementation secure, consistent, and upgrade-safe as Emporix evolves.
New features
Emporix skill library
Publishes skill folders from one public repository. Each skill page lists its package folder and how to confirm it after install.
One trusted source of Emporix know-how for every developer's agent, instead of prompts and notes each project writes for itself.
Tool-agnostic install
The install steps are the same for every AI tool that loads a skill folder. Get started lists the destination directory for each tool.
Teams keep the tools they already use. One skill set serves the whole team, whichever agent each developer prefers.
Confirmation check
After install, confirm the skill with a prompt about that skill. Get started includes a worked check for emporix-auth. For other skills, use a prompt from that skill page's How to use it section.
The check shows whether the skill is doing what you asked before the work goes further.
Docs navigation skill
Points the agent at published Emporix documentation, including page Markdown, the changelog, and the documentation MCP.
Agents look up current documentation while they work, instead of relying on model memory.
Auth skill
Chooses the token type, requests tokens, picks minimal scopes, and explains 401 and 403 responses.
Integrations authenticate with the right token and the smallest scope set.
Product data skill
Onboards or syncs a catalog through product, category, availability, price, and media, in that order.
A sellable catalog is assembled in the right order, with stock written to a real site.
Extensibility skill
Adds mixins and custom entity types through the Schema Service, and explains when to use each.
Custom fields and new record types follow the Emporix data model.
Storefront skill
Guides work in the Journey Aware Storefront: run it locally, choose which layer owns a change, and deploy it.
Storefront changes land in the right layer of the codebase.
Terraform skill
Manages tenant configuration as code with the official Terraform provider. The provider covers configuration, not commerce data.
The same tenant setup can move across environments as code. Apply it on a sandbox tenant first.
Sequential ID skill
Defines number formats and generates sequential document IDs, such as order or invoice numbers.
Document numbers follow one shared format instead of each implementation inventing its own.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Personalized Commerce, Coupon Redemption, and Product Variants
Overview
The B2B Commerce Frontend now supports personalized commerce with customer segments. When a segment member signs in, the homepage displays assigned products instead of all the products. The customer can browse only the products and categories assigned to their segment. If the customer opens a direct link to the product details page of a product outside their assigned assortment, the storefront returns a 404 page.
Additionally, coupon redemption is now available during checkout. The coupon configuration determines which products and categories receive the discount. Coupons restricted to selected customer segments can be redeemed only by customers who belong to those segments. The order details with coupons usage are later visible in order history, which shows applied coupons and their effect on the order total.
Together with that, the product details pages now provide an attribute selector and sellable variants list, helping customers choose the right template or dynamic variant.
New features
Customer segment assortments
The storefront displays Assigned Products to segment members and limits browsing to the products and categories assigned to their segment. A direct link to the product details page of a product outside the assigned assortment returns a 404 page.
Merchants can tailor storefront assortments to specific customer groups.
Coupon redemption support
Customers can apply coupons during checkout. Discounts follow the product, category, and customer-segment restrictions defined by each coupon. Applied coupons and their effect on the order total are also visible in Order History.
Merchants can offer controlled promotions, including promotions available only to selected customer segments.
Product variant selection
Customers use the attribute selector and Sellable variants list to filter and select template or dynamic variants. Choosing a variant refreshes its product details.
Customers can compare available configurations and choose the variant they need.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
B2B Commerce Frontend:
Management Dashboard:
Document Intake Cockpit
Overview
You can now process incoming documents such as orders, delivery notes, invoices, quotes, and returns in one central workspace with the Document Intake Cockpit.
Instead of reading attachments by hand, copying information into systems, and coordinating approvals across emails and spreadsheets, Document Intake turns incoming documents into structured business processes.
Documents can arrive by email or by direct upload. Optical character recognition (OCR) reads the document content and extracts the relevant information. AI Agents analyze the extracted data, compare it with existing business information, and identify potential mismatches.
For every AI-supported assessment, a confidence score shows how certain the system is about the result. High-confidence documents can move through the process more efficiently. Uncertain or conflicting information can be brought to a reviewer.
Reviewers can compare the original document with the extracted information, investigate highlighted mismatches, and complete the required approvals or other actions in the cockpit.
This combination of OCR, AI Agents, business rules, and human review helps organizations reduce manual work while maintaining control over important business decisions.
New features
Email and direct document intake
The cockpit processes attachments received through email and documents uploaded directly. Each attachment is handled individually, and the cockpit can create a corresponding business document from it.
Bring incoming documents into one digital process. Reduce manual forwarding, downloading, and re-entry while giving teams a consistent starting point for document processing.
OCR-based document reading
OCR reads the content of uploaded documents and email attachments and converts relevant information into structured data that can be processed by Emporix.
Eliminate repetitive document entry. Turn information from PDFs and other business documents into structured data without employees having to copy every field.
Auto matching
Auto Matching compares extracted document fields with configured master data, links matching records to the document, and can copy values back. Results appear on the document as Matched, Partially matched, or No match.
Reviewers see match results on the document instead of looking up records across systems. They can concentrate on fields that did not match.
AI confidence scoring
AI-supported assessments include a confidence score that indicates how certain the system is about the extracted or matched information.
Make automation transparent and controllable. Use confidence levels to distinguish clear cases from uncertain ones and involve people where additional verification is required.
Business data matching
Extracted information can be matched against existing business data in Emporix.
Connect documents with the right business context. Identify customers, products, orders, vendors, or other related information without requiring users to search across multiple systems.
Validation and exception handling
Configurable rules identify missing, incorrect, or inconsistent information before the document continues to the next process step.
Catch problems earlier. Prevent incomplete or incorrect documents from moving further into business processes and reduce downstream corrections.
Configurable document processes
Document types, forms, matching rules, validations, statuses, approvals, and available actions are configurable in the cockpit.
Adapt Document Intake to your processes. Use the same cockpit for scenarios such as order intake, invoice processing, quotes, or returns.
Central work queues
Queues and document lists organize incoming work and help reviewers identify documents that require attention.
Improve operational visibility. Your teams can immediately see what needs to be processed instead of managing work through individual inboxes or spreadsheets.
Integrated Email Inbox
Incoming emails and their attachments can be reviewed directly from the Document Intake Cockpit.
Keep communication and processing together. Reduce context switching and make it easier to understand where a document originated.
Side-by-side document review
Reviewers compare the original source document with OCR-extracted fields, AI findings, and business data and perform the configured actions.
Make human review faster and more reliable. Give reviewers the source, extracted data, and identified exceptions in one place.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
SAP ERP 6.0 integration
Overview
Emporix now offers the SAP ERP 6.0 Integration package, which connects digital B2B commerce directly with the processes already running in SAP.
Customer-specific prices can be retrieved from SAP in real time. Online orders can flow automatically into SAP, order status updates can be brought back to the storefront, and quotation processes can move seamlessly between digital commerce and the sales organization.
The result is a more connected buying experience where Emporix manages the digital customer journey while SAP remains the system of record for core ERP processes.
For B2B organizations, this addresses one of the biggest challenges of B2B commerce: keeping the online experience synchronized with complex ERP processes behind the scenes.
New features
Real-time SAP order simulation
Retrieves customer-specific pricing, discounts, and tax information from SAP and updates the Emporix cart.
Increases pricing accuracy and customer confidence. Buyers see the commercial conditions they expect before placing an order, which helps reduce pricing disputes and manual clarification.
SAP item pricing
Retrieves SAP pricing for individual cart items, including net price and tax information.
Keeps pricing logic in one place. SAP remains responsible for complex pricing while the digital storefront presents the result to the customer.
Automated SAP order creation
Creates an SAP sales order automatically when an Emporix order is placed.
Accelerates order processing. Removes duplicate data entry, reduces errors, and moves digital orders directly into existing fulfillment and ERP processes.
Order status synchronization
Synchronizes relevant SAP order changes and the SAP order number back to Emporix.
Improves customer transparency and reduces service effort. Customers can follow their orders digitally instead of relying on manual status requests.
Digital quote requests
Creates an SAP quotation when a buyer submits a quote request through Emporix.
Keeps complex B2B deals in the digital channel. Customers can initiate negotiations online while sales teams continue working within SAP.
SAP quote replication and approval synchronization
Replicates SAP quotations into Emporix and synchronizes approval statuses between both systems.
Connects digital buyers with sales processes. Customers can see the latest quotation status and respond as soon as a quote is ready.
Quote rejection synchronization
Transfers customer quote rejections from Emporix back to SAP together with the rejection information.
Maintains accurate sales pipelines. Sales teams immediately see when a customer declines an offer and can respond accordingly.
Quote-to-order conversion
Creates an SAP sales order with reference to the corresponding SAP quotation when a buyer accepts an offer.
Shortens the path from quote to revenue. Accepted commercial agreements can move directly into order processing without manual recreation.
Pre-built SAP integration components
Provides integration flows, mappings, SAP function modules, testing assets, and configuration guidance.
Reduces implementation effort and project risk. Integration teams can start from a proven pattern instead of designing every integration flow from scratch.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Import Tool
Overview
You can now keep enterprise data in Emporix continuously up to date without relying on manual file uploads or one-time migration jobs.
The new Emporix Import Tool connects enterprise data sources such as ERPs or Celonis with Autonomous Commerce Execution® (ACE™) and manages recurring imports automatically. The Import Tool extracts, maps, validates, and synchronizes data into Emporix based on configurable schedules or manual triggers.
Instead of repeatedly moving and reconciling data by hand, teams can establish a controlled synchronization process that keeps Emporix aligned with the source system. The result is less manual effort, improved data quality, and full visibility of how enterprise data reaches the commerce platform.
New features
Continuous data synchronization
Configure imports to run manually or automatically based on a schedule.
Keep business data current with less manual effort. Regular synchronization reduces repetitive imports and reconciliation work.
Full and delta imports
Run complete imports or synchronize only records that have changed since the previous successful run.
Move less data and process changes faster. Delta imports reduce unnecessary processing and make recurring synchronization more efficient.
Safe reprocessing
Repeated imports update existing records instead of creating duplicates. Unchanged records can be skipped automatically.
Recover from failures with confidence. Imports can be rerun without creating duplicate data or unnecessary updates.
Connected multi-stream imports
Import related datasets such as customers, product data, purchase orders, or purchase order lines in the correct sequence.
Maintain reliable business relationships. Dependencies are handled automatically so related information arrives in the right order.
Combined business objects
Related information from multiple source datasets can be combined into a single Emporix object.
Create a more complete view of your business data. Enrich existing records instead of maintaining unnecessary duplicates.
Deletion synchronization
Detect records removed or marked as deleted in the source system and remove the corresponding data from Emporix.
Prevent outdated data from accumulating. Keep Emporix aligned with changes in the source system and reduce manual cleanup.
Data mapping and validation
Map source fields to Emporix fields and validate records before they are written.
Improve data quality before it reaches your commerce processes. Detect incomplete or incorrect data earlier and reduce downstream errors.
References between business objects
Preserve relationships between imported entities, such as a purchase order and its corresponding vendor.
Maintain business context across imported data. Users and applications can work with connected objects instead of isolated records.
Asynchronous import progress
Large imports run asynchronously while the Import Tool shows progress and results for each data stream.
Give operations teams immediate visibility. See what was created, updated, skipped, deleted, or failed without waiting for an import to complete.
Import management in Management Dashboard
Configure imports, mappings, schedules, and deletion rules, and review import runs directly in the Emporix Management Dashboard.
Let business and operations teams manage import operations. Configure recurring integrations without command-line tools or direct database access.
Extensible integration architecture
Source adapters and components that write data into Emporix use standardized interfaces that support further data sources and target objects.
Create a reusable integration foundation. Extend the same import approach to additional systems and business objects as requirements grow.
AI-assisted mapping
An optional Emporix AI agent can suggest mappings between source and Emporix fields for administrator review.
Speed up configuration while keeping people in control. Reduce the effort required to create mappings without introducing AI into the actual import execution.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides: Import Tool
Management Dashboard: Import Tool
Agentic Intelligence: Import Tool domain tools
API Reference: Import Service
Cloud Function Hosting
Overview
Your teams can now manage hosted cloud functions across their complete lifecycle, from discovery and testing to deployment, reuse, and retirement.
From Administration -> Hosting, operators can enrich functions with descriptions and tags, find and review functions in Table view, and test Node.js packages before deployment. Build History makes it easier to inspect, reuse, and redeploy previous packages without uploading them again.
Together, these improvements provide better visibility and control over cloud functions, reduce deployment effort, and help development and operations teams deliver integrations and extensions faster and with greater confidence.
New features
Cloud function organization and discovery
Add localized descriptions and tags when creating a cloud function, and update them later as needed.
Improve transparency and reuse. Make the purpose of each function immediately clear, and find relevant functions faster across larger environments.
Improved operational visibility
Switch between Card view and Table view, with sorting, filtering, and information about who created each function.
Manage growing function landscapes more efficiently. Quickly identify functions, understand ownership, and simplify day-to-day administration.
Pre-deployment testing
Test Node.js packages in a browser sandbox before deploying them.
Reduce deployment risk and shorten development cycles. Validate function behavior earlier, and identify issues before they reach the hosted environment.
Previous build reuse and management
Build History lets operators preview, download, and redeploy previously uploaded packages, and shows who performed the deployment when that name is available.
Accelerate changes and recovery. Reuse proven builds, or return to an earlier package without rebuilding or uploading it again.
Hosted function cleanup
Deleting a hosted function removes its deployments and the corresponding Google Cloud function. The tenant hosting project stays available.
Keep environments clean and manageable. Retire obsolete functions and their deployments without affecting the tenant hosting setup.
Fixes and improvements
A Hosting ID is at most 41 characters, so the tenant name, a hyphen, and the ID fit a hostname label.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
User's Preferred Language
Overview
You can store a preferred language on a user's Identity and Access Management (IAM) profile. When that user signs in, the Management Dashboard applies the preference independently to the interface language and the data language. Each selector uses the preference only when that language is available. The same selection applies in the other Emporix cockpits available to that user. Changing a selector does not update the IAM profile.
New features
Preferred language
The Preferred Language field on a user stores a language in the IAM profile. On sign-in, the interface language and data language selectors each apply it when that language is available. If it is not, the selector keeps the language last selected in the browser. With no previous selection, the interface uses English and the data language uses the tenant's default language. The same selection applies in the other Emporix cockpits available to that user.
Users open the Management Dashboard and the other available cockpits in the language stored on their profile.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Predefined Legal Entity Group Creation
Overview
Now shop administrators can control whether the system creates default customer groups when a legal entity (company) is created.
The new predefinedLegalEntityGroupsCreationDisabled setting in System Preferences turns off automatic creation of the predefined Admin, Contact, Buyer, and Requester groups. You can use your own B2B role and group structure to onboard companies without generating unnecessary default groups.
Automatic creation remains the default, so existing company onboarding is unchanged unless you enable the setting. Tenants that manage their own group model can skip the default B2B groups and create only the groups they need.
New features
Predefined legal entity group creation
A new System Preferences setting (predefinedLegalEntityGroupsCreationDisabled) controls whether default customer groups are created when a legal entity is created. When the setting is true, the system does not create the predefined groups automatically.
Aligns company onboarding with your own group model instead of always creating Admin, Contact, Buyer, and Requester groups.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
Management Dashboard:
User Guides:
Value Stream Directories
Overview
As the number of value streams and running process instances grows, keeping operations organized becomes increasingly important. Directories provide a simple way to structure value streams into business-relevant categories such as returns, product onboarding, or order fulfillment.
You can create directories, assign a value stream to one or more of them, and filter the Value Streams list accordingly. The same directory structure is available in the Debugger, where you can filter running process instances by directory.
This creates a consistent way to organize, monitor, and manage value streams and their running instances across the tenant — making it easier for operations teams to find the right process, focus on relevant executions, and manage larger process landscapes efficiently.
New features
Directory management
Create, edit, and delete directories with a name and description from Manage Directories.
Structure growing process landscapes around business areas, teams, or use cases instead of managing one large flat list.
Directory assignment
Assign one or more directories to a value stream from the three dots actions menu in the Value Streams list.
Organize processes using the categories your business already works with, without opening or modifying the value stream itself.
Directory filtering
Filter the Value Streams list by directory using the Directories column. The default is All directories.
Find relevant value streams faster and reduce operational complexity as the number of processes grows.
Process instance filtering in Debugger
Use directories to filter running process instances directly in the Debugger view.
Manage and monitor process executions at scale by focusing on the instances relevant to a specific business area or process category.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Audit Logs for quotes and sites
Overview
Audit Logs now cover quotes and sites in the Management Dashboard. Employees can review field-level changes directly from a quote or site, including who or what made the change, when it occurred, and the previous and updated values.
The Audit Logs tab replaces the former Changelog tab for quotes. Tenant administrators can also review quote and site changes in the centralized Administration -> Audit Logs view.
Fixes and improvements
Quote audit history
Adds an Audit Logs tab to quote details, replacing the former Changelog tab.
Review quote changes and their field-level previous and updated values in one place.
Site audit history
Adds an Audit Logs tab to site details.
Track site configuration changes and identify when and by whom they were made.
Centralized audit visibility
Includes quote and site records in the tenant-wide Administration -> Audit Logs.
Investigate changes across supported entities without opening each entity individually.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
Management Dashboard:
Customer Segment Service - Group assignment
Overview
We're making B2B commerce management a whole lot smarter and faster. With the introduction of Group-Aware Segments, you can finally move away from the tedious task of managing users one-by-one. This update allows technical admins and operations teams to assign Emporix segments directly to business-level groupings. Whether you're managing product visibility, custom pricing, or exclusive promotions, you can now control everything at the organizational level.
It's all about reducing manual effort, eliminating errors, and ensuring your customers always see exactly what they're supposed to.
New features
Group-based segment assignment
Assign segments directly to entire business groups instead of managing users individually.
Scale without increasing administrative effort. Large numbers of users can be managed through a single group assignment, significantly simplifying B2B catalog and access management.
Automated membership inheritance
Users automatically inherit the segments assigned to their business group when they join it.
Maintenance-free onboarding. New users immediately receive the correct catalog visibility, pricing, and commercial conditions without manual configuration.
High-performance "Me" segments API
Provides a dedicated endpoint to quickly determine which segments apply to the currently logged-in user.
Faster personalized storefront experiences. Relevant catalogs, pricing, and conditions can be applied immediately, improving performance and supporting higher conversion rates.
Segment-aware coupon logic
Coupon eligibility can now take the customer's assigned segments into account.
More precise promotions and better margin control. Campaigns can be targeted to specific customer groups while preventing discounts from being applied to unintended audiences.
Enhanced Management Dashboard UI
Provides administrators with a clear overview of the relationship between business groups and assigned segments.
Greater transparency and fewer configuration errors. Admins can quickly understand who is affected by a segment assignment, simplifying audits and ongoing maintenance.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Management Dashboard:
API Guides:
Dynamic MCP Server
Overview
AI agents operate probabilistically, yet enterprise B2B workflows demand predictable, reliable data access and execution. Previously, connecting agents to Emporix required managing multiple domain-isolated Model Context Protocol (MCP) servers or hosting external custom servers that lacked Emporix authentication context.
With this release, Emporix introduces a Dynamic MCP Server capability, hosted natively through Cloud Functions. Customers, system integrators, and partners can build, host, and expose custom business logic as MCP server tools, fully integrated into the Emporix user security and scope context.
Emporix Hosting is a prerequisite.
New features
Cross-domain tool aggregation
A tenant-managed MCP server can cover logic that spans multiple Emporix domains and custom entities.
Simplifies agent setup by exposing cross-domain logic through one MCP attachment instead of several domain-isolated or external servers.
Inherited user authentication and scope context
OAuth scopes can be declared on each dynamic tool so that the Cloud Function runs with the caller's Emporix authentication context.
Ensures strict enterprise governance, data security, and compliance by guaranteeing that agents execute only the actions and access only the data allowed for that user and those API scopes.
Serverless Cloud Function hosting
Tool implementations are hosted as Cloud Functions on Emporix infrastructure. When you add a tool, you can select an existing function or create a new one dedicated to that tool.
Reduces infrastructure and maintenance overhead for customers and partners with a scalable hosting environment out-of-the-box.
Cloud Function Assistant
In Hosting, you can select AI Cloud Function to generate or edit deployable HTTP Cloud Functions from a natural-language request.
Speeds up Cloud Function authoring without starting from a blank archive.
Agentic Dynamic MCP Tool Assistant
When you bind a Cloud Function on a dynamic MCP server, the assistant infers tool name, prompt, schema, and scopes from the function source.
Reduces manual tool-contract authoring when the implementation already exists as a hosted Cloud Function.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
API Guides:
User Management and Frontend Agent Streaming
Overview
This release extends the B2B Commerce Frontend with storefront User Management and a more responsive Frontend Agent.
Customers with the Admin role can create and manage users for the company they currently administer — assign a company user group, activate or deactivate accounts, and grant the same user permissions in additional companies through the company switcher. Buying-team administration stays in the customer account, alongside orders, quotes, and approvals.
Additionally, we also worked on the Frontend Agent that now streams large language model (LLM) responses as they are generated. Customers see the reply appear immediately instead of waiting on a blank screen, which keeps the conversation responsive.
As with every update, we continue to make improvements that enhance the user experience and help drive conversion. You can find some of them listed below.
New features
Storefront user management
Customers with the Admin role can create users for the currently selected company, assign a company user group (Admin, Buyer, or Requester), activate or deactivate accounts, and grant the same user permissions in additional companies through the company switcher.
Company administrators manage their buying team in the storefront, without switching to the Management Dashboard.
Fixes and improvements
Streaming Frontend Agent responses
LLM streaming is integrated in the storefront Frontend Agent, so replies appear as they are generated.
Customers see the response instantly instead of waiting on a blank screen, which keeps the conversation engaging.
Multiple UI improvements
Faster product detail page loading and improved product variant display on the product listing page (PLP).
Shoppers wait less for product pages and see variants more clearly, which supports conversion.
Documentation and links
B2B Commerce Frontend:
User Guides:
Frontend Agent User Guides:
Cloud Functions process steps
Overview
You can now add cloud functions directly as process steps in the Value Stream Modeller, alongside scenarios, subflows, and AI agents. This allows customers to bring custom business logic into automated processes without adding unnecessary integration layers or routing function calls through external orchestration tools.
When the step runs, the value stream sends the relevant process context to the function and writes the result back into the process. This makes it easier to build end-to-end automations where custom logic, APIs, AI agents, and business processes work together in one flow.
Cloud functions can run on Emporix, Azure Functions, AWS Lambda, or Google Cloud Functions, allowing customers to reuse existing functions and cloud investments instead of rebuilding or migrating them. Process data can be dynamically mapped to each function call using JQ expressions, making value streams more flexible and reusable.
For customers, this means less integration complexity, lower maintenance effort, and greater architectural flexibility when extending commerce processes with their own business logic.
New features
Cloud function process steps
You can add a cloud function directly to a value stream. Process context is sent to the function and the response is written back into the flow.
Build more powerful automations with fewer integration layers. Custom logic becomes a native part of the process, reducing implementation effort, operational complexity, and dependency on external orchestration tools.
Multi-cloud function support
Execute functions hosted on Emporix, Azure Functions, AWS Lambda, or Google Cloud Functions.
Reuse the technology and cloud investments you already have. Teams can connect existing functions without moving workloads or redesigning their architecture, helping accelerate projects and reduce migration costs.
Context-aware payloads
A JQ expression builds the request body from the process context. Placeholder values in the invocation URL use {{.varName}} syntax.
Make automations more flexible and reusable. Process data is passed dynamically instead of being hard-coded, reducing custom development and making workflows easier to maintain as business requirements change.
Automatic result handling
Function responses are returned directly to the value stream context for use by subsequent steps.
Create seamless end-to-end processes. Results can immediately drive the next business decision, AI agent, API call, or workflow step without additional integration work.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
Management Dashboard:
Microsoft Entra ID Access
Overview
Enterprise customers can now use Microsoft Entra ID as the central source for employee access to Emporix. Employees sign in with their existing corporate account, while tenant access and roles are automatically aligned with the groups managed in Entra ID.
For example, when a new employee joins your European sales team and is added to the corresponding Entra ID group, they can automatically receive access to the right Emporix tenant and permissions. When they leave the team or your company, access can be removed through the existing corporate identity process.
This reduces overhead for user administration and helps you keep commerce access secure, consistent, and aligned with central IT governance.
New features
Microsoft Entra ID single sign-on
Employees access Emporix using their existing corporate Microsoft identity after Emporix Support enables SSO for your tenant.
You simplify employee access and reduce the need to manage separate credentials for Emporix.
Automatic group synchronization
Entra ID group memberships are mapped to Emporix IAM groups during login through the entraid_mapping tenant configuration.
You manage permissions centrally instead of maintaining employee roles separately in multiple systems.
Automatic tenant access
Group mappings determine which Emporix tenants an employee can access. Each tenant has its own mapping.
You scale access management across countries, business units, and environments without manually assigning every user.
Enterprise identity integration
Synchronization works with Emporix authentication, IAM groups, tenant access, and Developer Portal roles.
You fit Emporix into existing enterprise identity processes and simplify rollout in organizations with established IT governance.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Mixins for company and vendor locations
Overview
This update bridges the gap between core operational data and your unique business requirements. By extending the mixin framework to company locations and vendor locations, you can store, manage, and query domain-specific attributes — such as warehouse certifications, fulfillment capabilities, or opening hours — directly within the Emporix platform.
This eliminates the need for external databases or custom code to handle entity enrichment, reducing implementation costs and accelerating time-to-market. The same location mixin schema applies across your own sites and partner locations, so operational data stays consistent across the fulfillment network.
New features
Company location mixin fields
View and maintain mixin attributes on each company location card through the MIXINS bar and Location Schema.
Operations teams can keep warehouse, office, and site-specific data current without leaving the company profile.
Vendor location support
Extend mixin capabilities to third-party vendor locations in the Management Dashboard.
Expand your fulfillment network. Sellers can manage their own and partner locations consistently and use more inventory sources. Customers benefit from broader availability and potentially faster fulfillment.
Vendor location mixin APIs
Create, read, update, and delete mixin data for vendor locations through standard APIs.
Connect operational data seamlessly. Sellers can synchronize enriched partner-location data with ERP, WMS, and other systems while keeping existing integrations stable. Customers benefit from consistent stock and fulfillment information across channels.
Fixes and improvements
None as this is a new feature.
Known problems
Dynamic MCP servers are in preview; some capabilities may be incomplete or subject to change.
Documentation and links
User Guides:
Management Dashboard:
API Guides:
Audit Logs Service (Changelog)
Overview
The Audit Logs Service (Changelog) gives enterprises full visibility into changes made across orders, custom entities, and procurement workflows. Teams can quickly see who changed what and when, helping them resolve issues faster, support compliance, and strengthen accountability.
As a shared platform capability, audit coverage automatically extends to new modules, entities, and workflows — without requiring separate feature-by-feature investment.
New features
Full entity change history
Every create, update, and delete action is captured automatically—including who, what, and when.
Customer service and operations teams resolve disputes and answer audit questions in seconds, not hours.
Audit Logs tab on every supported entity
A dedicated Audit Logs tab is available directly on each supported entity in the Management Dashboard.
Teams get instant access to the full history without leaving their workflow.
Global Audit Logs in Administration
Tenant administrators can review a centralized, immutable record of system events and changes across entity types from Administration -> Audit Logs.
Investigate issues and review tenant-wide activity from one place, without opening each entity.
Shared platform capability with zero per-feature overhead
Built once at the platform level and inherited by every module, custom entity, and future workflow automatically.
Businesses get complete audit coverage without additional development investment as they grow.
Compliance-ready, tamper-proof records
All audit entries are centrally managed and consistently structured, suitable for internal reviews, external audits, and regulated industry requirements.
Compliance teams can produce accurate, complete audit trails on demand.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Management Dashboard:
AI Logs Improvements
Overview
This release makes the troubleshooting and tuning process more convenient for agent builders and operators working with Emporix Agentic AI. We added a helper agent in the AI Logs view for investigating request runs, a Duration column, and more complete request and job details.
New features
Agentic Log Analysis Assistant
Reviews request log entries, detects runtime and technical failures, classifies the root cause, and suggests concrete fixes. Enable it from Predefined Agents in the AI Agent Library, or from a request's log details view.
Analyze and investigate a failed run or a specific event in a conversation, instead of scanning every log line.
Fixes and improvements
Duration column
Shows how long each operation took.
Spot slow runs at a glance and focus tuning where it matters.
Richer request and job log details
Expands request and job details with more metadata, conversation context, filterable log entries, and import outcomes.
Diagnose a request or job and share logs without extra steps.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Password Migration Strategy
Overview
You can move customers from a legacy commerce system to Emporix without forcing a password reset. Import existing password hashes so customers can log in with their current credentials. On the first successful login, Emporix validates the password with the legacy method and rehashes it to the native security format in the background.
For example, after a migration from a third-party ERP, customers keep using their existing credentials immediately. This avoids login friction, mass password-reset campaigns, and the support load that usually follows a platform migration.
New features
Seamless password migration
Import existing password hashes from the legacy system and use them for authentication.
Protect the customer experience during migration by avoiding forced password resets.
Automatic password rehashing
After the first successful login, Emporix converts the password to the native security format in the background.
Upgrade security without extra migration steps or customer action.
Support for legacy hashing algorithms
Support different legacy password algorithms and their metadata during the retention window.
Migrate from different commerce systems without rebuilding the authentication flow for each source.
Secure batch import
A dedicated, scoped API imports up to 200 customers per request, including password hashes and related metadata, without extra onboarding logic such as welcome emails.
Migrate large customer bases efficiently as part of customer-data migration.
Migration retention window
Configure a retention end date and an optional reminder date that define how long legacy hashes remain valid.
Control when silent rehashing ends and when customers who have not logged in must reset their password.
Consistent authentication security
Login failures, lockout handling, and security behavior stay the same for legacy and native authentication.
Maintain security throughout the migration period without weaker authentication paths.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
API Guides:
Mixins for Locations and Availability
Overview
Locations and availability often need to describe more than an address or a stock quantity. With mixin support for locations and availability, you can extend these entities with your own structured data and adapt them to operational requirements.
For example, a warehouse location can include dock capacity, hazmat certification, opening hours, or supported fulfillment methods. Availability data can include attributes that support specific sourcing or fulfillment rules.
This gives you more flexibility to model complex warehouse, inventory, and fulfillment setups without introducing separate custom data structures.
New features
Mixins for locations and availability
Add custom structured attributes to location and availability records.
You can model real-world operations more accurately without changing the standard data model.
Management Dashboard integration
View, create, and maintain the additional fields directly in the Management Dashboard.
Teams have more control over operational data and depend less on developers for everyday changes.
Advanced filtering and querying
Filter and query locations and availability through APIs using mixin attributes.
You can make smarter fulfillment and routing decisions, such as selecting only warehouses with specific capabilities or certifications.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Management Dashboard:
API Guides:
MS Teams AI Tool
Overview
Microsoft Teams is now available as a native communication tool for Emporix Agentic AI. Enterprise customers can configure MS Teams tool instances per tenant and attach them to custom agents, so that users collaborate in the communication channel they already use without switching applications.
New features
MS Teams AI Tool
Configure a named MS Teams tool instance per tenant. Agents use it to create channels or group chats and invite participants by email address or from the company's Contact Info.
Users collaborate in Microsoft Teams without switching applications.
Custom agent collaboration
Custom agents select an MS Teams tool instance under Native Tools. The agent Prompt defines who to collaborate with; the tool configuration determines the channel.
Agents start collaboration in the Teams team the organization already uses.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Support, Complaint, and Anti-Fraud Agents as Generic Templates
Overview
Support, Complaint, and Anti-Fraud library templates now create generic agent instances. Complaint and Anti-Fraud templates expand into multiple collaborating instances. The dedicated Collaboration Agent is removed; the Support Agent owns Slack and MS Teams channel setup through the attached communication tool and its Allowed operations. Slack and MS Teams triggers are available for any agent type when the matching communication tool is attached.
New features
Generic library templates with multi-instance expansion
Complaint template creates Complaint Audit, Complaint Categorization, and Complaint Agent. Anti-Fraud template creates Anti-Fraud Agent, Anti-Fraud Audit, and Anti-Fraud Scoring. Support template creates Support Agent. Instances collaborate as a team.
You get a ready-made multi-agent team instead of configuring each collaborating instance from scratch.
Facilitated collaboration with attached native communication tools
Channel and chat creation depend on the Allowed operations of the attached Slack or MS Teams tool. Human collaboration setup is handled by the Support Agent and that tool.
Collaboration capabilities stay explicit and configurable, which simplifies the agent model.
Editable User Prompt for Support Agent
Full prompt configuration is in the editable User Prompt. There are no separate read-only Template Prompts.
You can change Support Agent behavior in one place without maintaining a separate template prompt.
Slack and MS Teams triggers on any agent
Any agent can use a Slack or MS Teams trigger when the matching communication tool is attached.
Communication triggers are no longer limited to the Support Agent from the library, so inbound handling works for any agent type.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Multiple Webhook Endpoints and Events Filtering (HTTP)
Overview
The Webhook Service now gives you more control over how events are shared with external systems. You can connect multiple endpoints to the same event, define exactly when each webhook is triggered, and control which data is sent to each destination.
For example, when an order is created, the same event can be sent to SAP for fulfillment, Salesforce for customer visibility, and an analytics system for reporting – with each system receiving only the events and data it needs.
This reduces custom routing and filtering logic in middleware and makes complex B2B integrations easier to manage and scale.
New features
Multiple endpoints per event
Configure multiple HTTP targets for the same event, each with its own URL, headers, and security settings.
Connect more systems with less integration effort and eliminate the need for a separate distribution layer.
JsonPath event filtering
Define JsonPath conditions that determine whether an event is sent to a specific target.
Send only relevant events, reducing unnecessary traffic, processing, and integration costs.
Target-specific payloads
Control which fields are included or excluded for each webhook target.
Share exactly the data each system or partner needs, improving security and simplifying downstream processing.
Independent delivery and retries
Each webhook target has its own delivery and retry lifecycle.
Increase integration resilience because a failure in one connected system does not block other destinations.
Management Dashboard configuration
Configure and manage webhook targets and filters directly in the Management Dashboard.
Reduce operational complexity and make integrations easier to manage without custom code.
Fixes and improvements
None as this is a new feature.
Known problems
None as this is a new feature.
Documentation and links
User Guides:
API Guides:
Unified Account Screens and Product Detail Page Enhancements
Overview
We have streamlined and unified the design of B2B Commerce Frontend account screens — including Orders, Quotes, Returns, and Approvals — while also enhancing the Product Detail Page layout. This UI consolidation delivers a seamless, low-friction buying experience for end customers, lowering training needs and speeding up daily tasks.
For integrators and partners, standardizing these layout patterns reduces implementation complexity, making it faster and easier to apply custom branding, maintain theme consistency, and launch polished, enterprise-ready B2B storefronts.
Additionally, the Product Detail Page now shows information about tier- or volume-based discounts when they are configured for the product, helping customers make more informed buying decisions and improving conversion.
New features
Tier- or volume-based discount display on the Product Detail Page
Customers can see configured quantity discounts before adding items to the cart, supporting clearer purchasing decisions and higher conversion.
Fixes and improvements
Unified account screen design for Orders, Quotes, Returns, and Approvals
Gives end customers a consistent, low-friction account experience that reduces training needs and speeds up everyday tasks.
Enhanced Product Detail Page layout
Improves clarity and usability on the product page so customers can evaluate products and complete purchases with less friction.
Standardized layout patterns for branding and theming
Helps integrators and partners apply custom branding, keep theme consistency, and launch enterprise-ready B2B storefronts faster.
Security-related improvements
Strengthen application security and reduce potential vulnerabilities. The changes improve adherence to frontend security best practices and help provide a more resilient and secure user experience.
Known problems
No known problems at the time of release.
Documentation and links
B2B Commerce Frontend:
Cursor-Based Pagination and Decimal Precision for Custom Instances
Overview
The Schema Service now handles large custom datasets more efficiently and decimal values with greater precision. This improves scalability for high-volume business data while ensuring accurate handling of values such as prices, quantities, measurements, and calculation results.
New features
Cursor-based pagination for custom instances
Provides faster access to large datasets and more predictable performance, even when working with millions of custom entity records.
Improved precision for decimal attributes
Delivers more accurate business data and calculations, especially for prices, financial values, measurements, conversion factors, and other precision-sensitive data.
Fixes and improvements
None as this is a new feature.
Known problems
None as this is a new feature.
Documentation and links
User Guides:
API Guides:
AI OAuth-Based Gateway for Agentic AI
Overview
We are extending Agentic AI with enterprise-controlled provider access, allowing customers to route model traffic through an AI gateway instead of connecting directly to public LLM providers.
This is especially important for customers with stricter data-protection or governance requirements. It gives teams a compliant path to use external models while keeping authentication and provider access under tighter operational control.
Agentic AI now supports reusable managed OAuth configurations for provider authentication. This makes it easier to connect self-hosted or gateway-backed LLMs consistently across multiple agents without duplicating secrets in every configuration.
New features
AI OAuth support for custom agents
Lets your teams use enterprise-controlled model access instead of connecting directly to public provider endpoints, helping meet stricter security and compliance requirements.
Managed OAuth configurations for provider access
Centralizes reusable provider authentication so multiple agents can share one approved OAuth setup, reducing duplication and simplifying operations.
OAuth 2.0 support for external model authentication
Makes it easier to connect gateway-backed and self-hosted providers using standard enterprise authorization patterns.
Fixes and improvements
None as this is a new feature.
Known problems
None as this is a new feature.
Documentation and links
User Guides:
API Guides:
RAG for Orders
Overview
We are expanding our Generative AI capabilities by introducing RAG (Retrieval-Augmented Generation) support for Orders.
Your AI agents no longer execute simple commands — they can now securely reference and analyze complete transaction histories. By giving agents instant, context-aware access to past order data, businesses can automate complex customer service inquiries, streamline B2B reordering, and deliver highly personalized purchasing recommendations.
New features
RAG for Orders
We bring years of transaction history directly into your AI workflows so that agents can instantly resolve order tracking questions and analyze customer buying patterns.
Secure tenant, site, and customer-aware authorization
We enforce scope-based access on every retrieval so agents return only orders allowed for the invoking context — tenant-wide, legal entity, customer, or legal entities available to the customer — with tenant and site isolation and without complex custom coding.
Fixes and improvements
None as this is a new feature.
Known problems
None as this is a new feature.
Documentation and links
User Guides:
API Guides:
Dynamic Product Menu, Category View, and Facet-Based Filtering with BatteryIncluded
Overview
We have enhanced the B2B Commerce Frontend by introducing dynamic product menus, category navigation, and facet-based filtering on product and search list pages, powered by BatteryIncluded as the search provider.
Developers starting with the B2B Commerce Frontend do not have to rebuild product menus using dynamic data. Instead, the main navigation dynamically fetches and renders real-time category structures based on product catalog information indexed by BatteryIncluded.
While the platform maintains full flexibility to connect any preferred search provider, this native implementation ensures customers can immediately use category-based filters to drill down into broad product listings and search results rather than navigating an unfiltered flat list.
New features
Product menu
Developers and integrators save implementation time because the storefront navigation menu automatically adapts to dynamic category data, eliminating the need to write manual logic to wire up a live menu.
Product list page and search results page
Customers can find exactly what they are looking for much faster by easily narrowing down broad product lists or search results into precise categories, drastically reducing browsing friction, maximizing search relevance, and driving conversion performance.
Filter support and search facet synchronization
Business teams can configure and update search filters directly within the search provider. The B2B Commerce Frontend updates automatically, speeding up time-to-market and improving customer navigation without development costs.
Search by product categories
Improves customer experience and increases conversion by extending search to find not only products, but also product categories.
Fixes and improvements
None as this is a new feature.
Known problems
None as this is a new feature.
Documentation and links
B2B Commerce Frontend:
Commerce Engine:
Indexing Service - Mixin Allowlist for BatteryIncluded
Overview
Emporix now gives businesses more control over which custom product information is sent to BatteryIncluded.
With the new mixin path allowlist, companies can define exactly which additional product attributes should be included in the search index. This makes it easier to create relevant search experiences, support advanced filtering, and expose business-specific product information without indexing unnecessary data.
New features
Configurable mixin path allowlist
Gain full control over the data used in search, while your customers receive more accurate and relevant results.
Support for custom product attributes
Create tailored search and filtering experiences, helping your customers find and compare the right products faster.
Focused search data
Reduce unnecessary data processing and keep the index focused, giving your customers a faster and more precise product discovery experience.
Flexible search configuration
Introduce new filters and search use cases more easily, while your customers benefit from continuously improved ways to discover products.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
API Reference:
User Guides:
Wishlist and Quote Approval Flow
Overview
We are introducing two new capabilities to the B2B Commerce Frontend: Wishlist and Quote Approval Flow support.
The Wishlist gives customers a dedicated place to save and review products over time, separate from the active cart. Building a complex bill of materials or departmental order often takes days of sourcing and internal verification; compiling items in the shopping cart risks mixing them with daily purchases or triggering a premature checkout.
The Quote Approval Flow support empowers business buyers to manage, review, and approve custom price negotiations directly within the B2B storefront. By extending existing order approval workflows to quotes, customers receive a frictionless, self-service buying journey from initial inquiry to final purchase.
New features
Wishlist
Customers can save products from product listing and details pages to a dedicated wishlist, separate from the shopping cart, so larger or long-running orders do not mix with everyday purchases. Saved items remain in the account with current pricing and can be reviewed, updated, or pushed to the cart when the customer is ready to buy.
Quote approval flow UI
Requester and Buyer customers who cannot accept a quote on their own can route negotiated offers to internal approvers directly from the storefront. Approvers review and accept or decline quotes in the Approvals view, and approved quotes convert to orders without merchant intervention — entirely self-service from the customer account.
Quote extended with customer-supplied context
Customers can attach a custom reference, such as a PO number, or add comments when submitting a quote request. The information is stored on the quote and remains visible to merchants in the Management Dashboard throughout review, approval, and order conversion.
Fixes and improvements
None as these are new features.
Known problems
No known problems at time of release.
Documentation and links
B2B Commerce Frontend:
Agent Output Format (Strict JSON Schema)
Overview
While conversational AI works well for human interaction, unstructured text responses create problems when AI agents need to trigger downstream systems, update databases, or pass data to frontend components. Relying on prompt engineering alone to force an LLM into outputting clean data often leads to parsing errors, broken workflows, and unexpected downtime.
We are introducing structured output format support via JSON Schema for the Agentic platform. You can now enforce strict, developer-defined JSON schemas on your AI agents' responses. This guarantees that agent output matches the exact data structure your applications require. For businesses, this means reliable automated workflows, zero parsing overhead, and the confidence to connect AI agents directly to critical business APIs and enterprise software.
New features
Strict JSON Schema enforcement
Forces the AI agent to output data that adheres to your defined parameters, keys, and types, eliminating unexpected formats or missing fields. If an LLM attempts to deviate from the schema, the platform automatically corrects the formatting before it reaches your application, preventing downstream code failures.
Reliable downstream data processing
When agents pass data to other tools or screens, the information arrives in a fixed, predictable format. Automated workflows do not break, and user interfaces can display the data without complex guesswork.
Visual schema configuration UI
Management Dashboard users can define the Output Format JSON schema directly in the agent configuration UI, without editing configuration files manually.
Agentic JSON Schema Assistant
An AI-assisted workflow helps you generate JSON schema definitions from natural-language descriptions, reducing setup time and technical barriers for business users.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Seamless Order and Quote Management Between Emporix and SAP
Overview
Emporix ACE™ now connects directly with SAP S/4HANA and SAP ERP using A2X APIs. It enables a fully integrated order-to-invoice and quote lifecycle across both systems.
B2B customers and sales teams can place orders, simulate pricing, and manage quotes entirely from the B2B Commerce Frontend or Management Dashboard — while SAP handles all backend processing and status tracking in real time.
No more switching between systems, no manual data re-entry, and no blind spots in the sales process.
New features
Real-time order creation in SAP
Orders from the B2B Commerce Frontend are automatically posted to SAP with full master data mapping. This removes manual re-entry, reduces errors, and speeds up order processing.
Live order status
Users see live order status and delivery progress directly in the B2B Commerce Frontend. Your sales teams and customers gain transparency without logging into SAP, reducing "where is my order?" requests.
SAP-powered order simulation
Users can preview SAP-calculated pricing, discounts, and freight before submitting an order. This prevents pricing surprises, reduces rejected orders, and builds buyer confidence.
Bidirectional quote synchronization (Emporix → SAP)
Quotes created in the B2B Commerce Frontend are automatically transferred to SAP, including line items, products, validity dates, and customer data. The Management Dashboard provides full visibility and monitoring capabilities for these quotes, ensuring the sales pipeline remains aligned for financial processing without manual handover.
Bidirectional quote synchronization (SAP → Emporix)
Quotes created or updated in SAP are automatically pushed to Emporix and shown in the correct customer account. Customers can review, accept, or decline quotes online, helping speed up deal closure and keeping sales teams up to date.
Fixes and improvements
None as this is a new feature.
Known problems
None as this is a new feature.
Documentation and links
User Guides:
Value Stream Examples
Overview
We renamed Value Stream Library to Value Stream Examples in the Value Stream Modeller.
This change helps avoid confusion with the Partner Library and makes the purpose of this section clearer: it provides example value stream templates that can be used as a starting point for building automated processes.
For you, as a customer, the new name makes it easier to understand that these are ready-to-use examples designed to help users get started faster and adapt proven processes to their own business needs.
No functionality has changed.
Value Stream Library
Value Stream Examples
New features
None as this is a minor change.
Fixes and improvements
None as this is a minor change.
Known problems
No known problems at time of release.
Documentation and links
Major Usability & Feature Upgrade
Overview
Your Value Stream Modeller just became the single place to design, operate, and manage your business processes – no more switching between views.
With this release, we've consolidated key capabilities that previously required navigating to the Management Dashboard (MD) views directly into the modern VSM interface. The result is faster workflows, fewer clicks, and a significantly improved user experience for business users and administrators alike.
New features
Inline condition filter editing
Empowers business users to fine-tune process logic on the fly without developer assistance, reducing configuration time and the risk of errors caused by tool-switching.
Integrated event registry & event log
Gives operations teams full visibility into event-driven process triggers and real-time event activity, making it easier to troubleshoot issues and set up new integrations without leaving the process design environment.
Scenario creation for triggers & steps
Accelerates time-to-automation by letting users launch and connect Make scenarios right where they define their processes — ideal for demos, proof-of-concepts, and rapid deployment of new automation workflows.
Scenario-as-trigger assignment
Unlocks scenario-driven process orchestration in the modern UI, making it simple for solution architects and partners to build event-driven automations and demonstrate sophisticated trigger logic during customer engagements.
Step replay
Dramatically reduces troubleshooting time during implementation and go-live. When a single step fails or needs re-processing, there's no need to re-trigger the full workflow — saving time and minimising impact on productive data.
Administration view
Enables administrators to manage value stream configurations without context-switching to legacy tools, streamlining onboarding and day-to-day operations while enforcing role-based access control.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
VSM User Guides
Commerce Events Filtering and Improved AI Agent Configuration UI
Overview
Not every commerce event needs AI action. Without filtering, AI agents can be triggered too often, creating noise, unnecessary cost, and lower trust in automation. We are introducing event filtering, enabling businesses to create agentic processes that are more targeted and controlled. AI agents only act when the right conditions are met. This helps teams reduce unnecessary executions and improve relevance.
We are continually developing new features for our Agentic layer, with a view to offering our customers a wider range of options for customising their agents. In order to optimise the user experience, we have re-worked the Management Dashboard user interface to make configuration of agents easier and more efficient.
New features
Commerce Events Filtering
Avoid noise, unnecessary cost and system overload by ensuring only relevant subset of commerce events (and not every cart creation, product update or schema change) trigger AI agent invocation.
Fixes and improvements
Management Dashboard: AI Agents AI Tokens AI Tools AI MCP
Make managing agent configuration quicker and easier.
Known problems
No known problems at time of release.
Documentation and links
Custom Entity RAG
Overview
We are extending Agentic Commerce Intelligence by introducing RAG support for custom entities. This enhancement directly connects Emporix AI agents with your tailored business data models, allowing intelligent agents to seamlessly access, process, and manage instances of your custom entities straight from active agentic workflows.
Previously, utilizing proprietary data structures meant relying on complex workarounds to feed custom data to your AI. With custom RAG natively integrated, AI agents can immediately leverage your unique data mapping without extra technical overhead, vastly accelerating the time-to-value for tailored agentic commerce experiences.
New features
Custom Entity RAG
Eliminated Integration Complexity: No more building, securing, and maintaining external systems or standalone API connectors just to expose custom data structures to your AI agents. Better Performance: Native RAG support ensures that AI agents pull contextually precise data directly within the ecosystem, delivering faster response times and smoother automation. Enhanced AI Relevance: Empowers your AI agents with a comprehensive understanding of your specific production environments, unique B2B data mappings, and specialized business logic for highly accurate decision-making.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Dynamic Multi-Level Product Variants
Overview
We're introducing dynamic product variants, which will allow you to model real-world product assortments with several hierarchy levels (for example, base product → pre-variant → sellable SKU) without having to duplicate product content manually. The result is a faster catalogue onboarding, cleaner data maintenance, a storefront-ready product view and facilitated import of product data. And all of this supports complex B2B catalogues (industrial parts, packaging variants, configurable items).
New features
Multi-level variant hierarchies
You can sell complex assortments without workarounds. Ideal for B2B catalogs where a single parent with one variant level is not enough. This directly reduces implementation time and speeds up go-live for enterprise catalogs.
Simple linking by the parentVariantId
Less modeling effort for business teams and integrators. No complex parent configuration is required upfront, which reduces data maintenance errors.
Sellable control per node (not inherited)
Clear commercial control: you can model marketing products, technical grouping products, and sellable SKUs in one structure. Control which hierarchy levels customers can add to the cart by marking intermediate nodes as non-sellable configuration steps. This reduces catalog clutter and improves conversion by presenting the right purchasable items.
Variant attributes become truly flexible
This variant model is suited to large, complex catalogs: you can represent real buying criteria (packaging, size, units, surface treatment, and more) in a way that works for business users and storefronts. It helps sales teams present products consistently across countries and channels.
Bulk-import friendly recalculation
Much smoother ERP/PIM replication projects: you can ingest data in the order you receive it, then rebuild variant trees reliably. This reduces integration risk and shortens onboarding timelines.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User Guides:
API Guides:
Quote Intake Value Stream
Overview
Quote Intake helps sales and service teams turn incoming quote requests received by email, into ready-to-process orders faster.
Instead of manually checking emails, copying quote details, validating customers, searching for products, and preparing the order step by step, the process is automated. The solution validates the submitted quote request, handles customer and product data, suggests alternatives when needed, and prepares the quote for order creation.
The results are faster response times, fewer manual errors, and a smoother buying experience for customers.
New features
Automated quote intake
Your sales teams can move faster from customer request to quote response. Manual data entry is reduced, errors are minimized, and teams can spend more time selling instead of processing.
Customer validation and customer creation support
New and existing customers can be handled more smoothly. Your sales and service teams avoid delays caused by missing customer data and can keep the quote process moving.
Product validation with alternative suggestions
Your teams do not lose momentum when a requested product cannot be found. They can quickly offer relevant alternatives, protect the sales opportunity, and keep the customer engaged.
Cart and order creation automation
Quote requests can be converted into structured orders faster. This shortens your path from inquiry to revenue and helps teams handle more requests with less manual effort.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
File Upload for AI Agents
Overview
We now enable users to upload files directly into an AI Agent's chat conversation. This is a significant step in making our Agentic platform truly multimodal. Your AI Agents can now understand and act on documents, images, and other files that your business teams work with every day. Whether it's processing an order from a PDF or recognizing products from an image, your agents just became a lot smarter.
New features
File upload in agent chat
It eliminates manual data entry and copy-paste workflows. For example, your sales and operations teams can hand in a purchase order PDF or image to the agent and let it do the heavy lifting. Creating orders, extracting line items, or validating data in seconds instead of minutes.
Dedicated file upload API endpoint
One integration covers all agent interaction modes. You wire up file upload once and it works across synchronous, asynchronous, and upcoming streaming channels. This reduces integration effort and future-proofing custom solutions.
Cross-agent file sharing
This enables end-to-end automated workflows. An uploaded product sheet can flow from a data extraction agent to an order creation agent, and to a pricing agent. All within a single session, without re-uploading or manual handoff.
Secure, private media storage
Media storage ensures enterprise-grade data handling out of the box. For instance, uploaded order documents, customer data, and proprietary images stay private and tenant-isolated — a compliance and security baseline your customers expect.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Quick Order and Product Comparison
Overview
We are introducing two major capabilities to the B2B Commerce Frontend designed to accelerate procurement workflows and improve purchasing confidence for business buyers.
The new Quick Order functionality enables customers to rapidly create and reorder large product lists by searching directly by SKU or uploading CSV/XLSX files. Instead of manually navigating through catalogs and repeatedly adding known products one by one, buyers can now complete routine replenishment orders in a fraction of the time.
In addition, the new Product Comparison feature allows buyers to compare technical specifications side-by-side before purchasing. This supports faster and more accurate decision-making, especially in complex B2B scenarios where compatibility, compliance, and specification validation are critical.
Together, these capabilities reduce operational friction for both buyers and merchants by streamlining high-frequency purchasing journeys, minimizing manual errors, and increasing self-service efficiency.
New features
Quick Order
Enables buyers to instantly add known products by SKU or by uploading a CSV/XLSX list of SKUs for known products without browsing through categories or product details pages, dramatically reducing procurement time for repeat purchases.
Product Comparison
Gives buyers a side-by-side comparison view of product specifications for multiple products, reducing the need to open multiple tabs or build manual spreadsheets for technical validation.
Fixes and improvements
Improved phone number validation in Customer Profile.
Known problems
No known problems at time of release.
Documentation and links
User Guides:
Stock Promotion
Overview
We introduced Stock Promotion — an AI-powered, end-to-end stock clearance process that lets business users launch coordinated clearance campaigns across pricing, sales, and marketing in days, not weeks.
Instead of manually juggling spreadsheets, ad-hoc price changes, and disconnected promotional activities, merchandisers and commercial teams now trigger a single, structured value stream that orchestrates every step: from targeted discounting to frontend promotion, all happening automatically.
This is a game-changer for B2B manufacturers, wholesalers, and distributors who need to move excess inventory fast without resorting to blanket fire-sales that erode margins.
New features
Campaign scope and trigger definition
Go from "we have a stock problem" to "a clearance campaign is live" in minutes. External triggers from for example ERP, data mining systems, and similar sources mean overstock situations are caught and acted on automatically, before they become write-offs.
Segment-based pricing and coupon generation
Protect your margins by offering the right discount to the right customer, instead of discounting everything for everyone. Your best customers feel valued with exclusive offers, while your pricing integrity stays intact.
Multi-site and country-specific targeting
Run a clearance campaign in Germany without affecting your pricing in France. Global enterprises get localized control with centralized orchestration.
Discount group assignment and clearance price lists
One action creates a consistent pricing foundation across your entire selling ecosystem. No more mismatched prices between your webshop, your sales team's quotes, and your ERP.
Automated quote preparation for sales teams
Your sales team doesn't wait for pricing to finalize or manually build quotes — they get ready-to-send offers the moment a campaign launches, turning overstock into a pipeline.
AI-powered campaign drafting agent
Reduce the expertise and time needed to set up effective campaigns. Even less experienced team members can launch sophisticated clearance strategies guided by AI recommendations.
Customer segment item assignment module
Build once, use everywhere. The segment assignment module powers not just stock promotion but becomes a foundation for any future targeted commercial initiative.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Partner Library:
Quote Approval Process
Overview
We now give B2B buyers and sellers full control over quote acceptance — with a built-in approval workflow that prevents unauthorized purchases and protects your margins. In complex B2B transactions, not every buyer is authorized to commit to a purchase. Until now, there was no guardrail between a negotiated quote and a placed order. With the new Quote Approval Process, Emporix ensures that every accepted quote passes through the right hands before it becomes an order. With that, we reduce risk, enforce purchasing policies, and give your sales team confidence that deals are properly authorized.
New features
Multi-step quote approval workflow
Eliminate unauthorized purchases and ensure every deal follows your company's procurement policies - a must-have for enterprise buyers with strict compliance requirements.
Automatic manager escalation
Remove bottlenecks from the buying process. Instead of back-and-forth emails asking "who needs to sign off?", the system handles escalation automatically - accelerating deal closure while maintaining governance.
Full price consistency across the entire process
Build buyer trust with transparent, accurate pricing at every stage. No surprises between the quoted price and the final invoice - a key differentiator in competitive B2B sales cycles.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User Guides:
API References:
Custom Scopes
Overview
We are pleased to announce the introduction of a streamlined, tenant-specific authorization model that empowers you to define and manage your own scopes across IAM, APIs, and custom entities - all from the Management Dashboard.
This gives you fine-grained control over who can access which data and APIs, without the usual role/permission complexity.
New features
Tenant-specific access controls based on scopes
Mirror real business structures (brands, regions, partner types) without redesigning the platform. This reduces admin effort, improves audit clarity, and strengthens enterprise security posture.
Unified scopes in APIs and OAuth2 tokens
Establish clean, predictable contracts for internal teams and partners. This accelerates integration projects and partner onboarding with a secure-by-design, API-first model.
Auto-generated scopes (including "own" access) for custom entities
Extend the data model safely while still enabling fine-grained self-service for customers and partners. This shortens time-to-market for new business concepts while keeping strict data isolation.
Central scope management in Management Dashboard
Use one control center for authorization to reduce complexity, speed up onboarding/offboarding, and provide security and compliance teams with a clear, auditable overview.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User Guides:
Product Substitution
Overview
With Product Substitution, buyers get support directly in the cart when an order looks risky. If a product is likely to be delayed or backordered, the system can detect that early in the buying process and suggest alternative products before the order becomes a service issue.
The goal is simple: keep orders moving, reduce avoidable backorders, and help buyers make better decisions in the moment. Instead of relying on sales or customer service to fix the issue later, the system can react immediately and offer relevant alternatives right where the purchase decision happens.
New features
Risk detection during cart creation
This allows your company to react before a risky order is placed, reducing delayed orders, cancellations, and revenue leakage.
Substitution lookup for risky products
This gives your buyers a practical path forward instead of hitting a dead end, helping protect conversion and order continuity.
Integration with external risk intelligence
You can bring operational or supply risk intelligence directly into the buying journey and make more informed substitution decisions.
AI Agent for automated product recommendations
Improves your product discoverability and gives buyers faster access to in-stock alternatives.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Partner Library:
Company Switcher and Increased Performance
Overview
This release improves the end-to-end customer journey by increasing startup performance and significantly lowering the number of API requests, which reduces the total cost of running the solution.
Updated security measures also strengthen data protection to support safer checkout and reduce operational risk.
The new company switcher control helps customers who belong to multiple legal entities efficiently manage orders and quotes for multiple organizational units.
In addition, we delivered a set of frontend improvements that improve order display, approval workflow, and cart behavior across multiple currencies and sites. Together, these updates contribute to a smoother buying experience and stronger conversion performance.
New features
Company Switcher
Customers belonging to multiple legal entities can now select the entity they are active on behalf of.
Fixes and improvements
Improved performance and decreased API usage
Faster site performance improves customer experience and acquisition, while fewer API requests lower operating costs.
Cart, Order, Quote and Approval optimization
Improves user experience when browsing orders, commenting on quotes, submitting new approval requests, and switching sites.
Security updates
Strengthens data protection and minimizes transaction risks, ensuring a safer shopping environment and supporting long-term trust.
Known problems
No known problems at time of release.
Documentation and links
B2B Commerce Frontend:
Partner Library
Overview
The Emporix Partner Library is your one-stop shop for discovering, evaluating, and activating partner-built extensions, value streams, AI Agents, and cloud functions - all directly inside the ACE™ platform. Think of it as a curated Partner Library where you can safely expand your commerce capabilities with trusted, ready-to-use solutions, without the hassle of building everything from scratch or worrying about compatibility and support. It’s designed to make your life easier, speed up your projects, and let you focus on what matters: growing your business.
New features
Catalog & discovery
Instantly find the right solutions for your needs - whether it’s an integration, value stream, or AI agent - using powerful search, categories, and filters. This means less time hunting, more time delivering value to your customers.
Verified trust & quality signals
Every listing is reviewed and verified by Emporix, so you can adopt new components with confidence. Trust badges, compatibility info, and clear support ownership reduce risk and eliminate “vendor ping-pong.”
Seamless activation & lifecycle management
Activate new components in just a few clicks, track their status, and manage everything from one place. No more complex onboarding or manual license handling - just request, approve, and go live.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User guide:
Extension and Cloud Function Hosting
Overview
We are happy to introduce managed extension hosting and cloud function deployment directly in the Emporix Management Dashboard.
This new capability allows customers and partners to upload, deploy and operate extensions on Emporix infrastructure without having to build and maintain their own hosting setup. This means less operational complexity, faster time-to-value, and a smoother path from implementation to commercialisation. Teams have full transparency over usage, releases and ownership.
New features
Project initialization & setup
Customers and partners can get started in days instead of months, reducing implementation effort and accelerating time-to-value. By removing infrastructure complexity, Emporix helps teams focus on launching revenue-generating solutions faster.
Flexible deployment options
Teams can release new features on their own timeline without being blocked by infrastructure dependencies. This improves agility, shortens time-to-market, and helps customers respond faster to business and market needs.
Integration into Management Dashboard
Extension and cloud function hosting is embedded directly into the Emporix Management Dashboard, creating a seamless and familiar user experience. This drives adoption, reduces training needs, and reinforces the value of Emporix as one unified platform.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User guides:
Order Intake Value Stream
Overview
The Order Intake automates one of the most manual parts of B2B operations: processing order requests that come in by email. Instead of relying on teams to read emails, open attachments, re-enter data, and check everything manually, AI now takes over the heavy lifting.
Incoming emails and attachments are understood automatically, key order data is extracted and validated, and the workflow moves the request toward ERP processing with minimal manual effort.
The result is faster response times, fewer errors, and a much more scalable order operation. Your teams spend less time on admin and more time on customers.
New features
Intelligent email and attachment intake
AI monitors order inboxes, identifies the intent of each message, and reads attachments across common file formats such as PDF. Order requests can start processing as soon as they arrive, reducing inbox backlogs and helping teams respond in seconds instead of hours.
AI-based parsing, normalization and validation
The system extracts order details such as items, quantities, prices, and shipping information, then validates and maps the data into a structured order format. Customers get cleaner, more reliable order processing with fewer manual corrections, lower error rates, and a faster path from request to fulfillment.
Zero-touch workflow and system integration
Classification, extraction, validation, and workflow orchestration are automated end to end, with only flagged exceptions requiring human review. Businesses can handle significantly higher order volumes without adding headcount, while keeping operations efficient, scalable, and under control.
Smart exception handling and approvals
Tolerance thresholds and approval rules route unclear or high-risk cases to the right team. Teams stay in control of sensitive cases without slowing down the full process, allowing most requests to move through automatically while exceptions are resolved faster.
Operational dashboards and continuous improvement
Real-time dashboards show order volumes, automation rates, exception trends, and customer-level insights. Leaders get immediate visibility into performance and ROI, making it easier to measure value, optimize operations, and continuously improve automation outcomes.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Branching, Looping and Debugger
Overview
Empower your business with next-level process automation - the new branching and looping feature lets you design smarter, more adaptable processes by enabling iterative flows, dynamic branching, and flexible triggers. This means you can automate complex business processes with ease, ensuring your operations are both powerful and agile.
Additionally, we introduced the Value Stream Debugger, which brings a new level of transparency and control to process automation. Instead of treating workflows like a black box, teams can now see exactly how a process ran, where it failed, and what needs to happen next - directly inside the Value Stream Modeler. This makes troubleshooting much faster and far less technical. Operations, IT, and business users can understand issues visually, resolve them more efficiently, and avoid restarting entire processes for a single failed step.
The result is less downtime, faster recovery, and more confidence in business-critical automation.
New features
Conditional branching
Steer each process instance automatically into the right path based on business rules (such as customer type, order value, or risk level), so the system executes the best-fit actions in real time - boosting efficiency, improving customer experience, and reducing manual decision-making.
Looping
Automate repetitive tasks by letting the system re-run the same step (for example, checking inventory or recalculating prices) until the desired result is reached - handling complex scenarios without manual intervention and significantly reducing errors and workload.
Visual process path highlighting
Shows the exact path a process instance took through the value stream, directly highlighted in the model. Helps teams identify failures faster and reduce troubleshooting time by making process execution immediately visible and easy to understand.
Step-level detail panel
Lets users inspect the input, output, completion event, and status of every individual step. Gives operations and business users the information they need to investigate issues on their own, reducing dependency on technical teams and speeding up resolution.
Role-based access control
Restricts debugger access to authorized admin users only. Supports secure troubleshooting by protecting sensitive diagnostic data while still enabling fast action by the right teams.
Integrated Make scenario link-view
Connects a process step directly to its related Make scenario for deeper technical insight. Keeps teams in one workflow, reduces context switching, and speeds up issue resolution across business and technical users.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Perspectives Management
Overview
Perspective Management enables tenant administrators to control which perspectives are available in the Emporix system and who can use them.
Administrators can manage access to predefined perspectives for specific employee groups and also register entirely new perspectives (implemented as MD Extensions).
Once registered, new perspectives appear in the perspective chooser - unless a user only has access to one perspective, in which case the chooser is hidden to keep the experience simple.
New features
Centralized perspective administration
Reduces administrative effort and improves governance by making configuration consistent and auditable.
Register custom perspectives
Supports evolving business needs without waiting for core product changes - teams can tailor experiences for new processes, roles, or regions.
Simplified UX when only one perspective is available
Streamlines the user experience, lowers training needs, and reduces misclicks/support tickets.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Mixin Schema - Cart Item and Order Entry in Management Dashboard
Overview
We have expanded the Schema Service to give teams more control over cart and order data directly from the Management Dashboard. With support for CART_ITEM and ORDER_ENTRY schema types, businesses can now define and manage custom fields where it matters most in the buying journey.
This enables faster adaptation to business needs, easier integration of external or third-party data, and more flexibility to shape cart and order experiences without added complexity. The result is a more tailored customer journey and greater operational efficiency for your teams.
New features
Mixins for cart item and order entry in the Management Dashboard
Businesses can create and integrate custom fields directly into cart item and order entry records. This makes it easier to capture the data that matters most to your operations, whether for personalization, fulfillment, reporting, or partner integrations.
Fixes and improvements
Improved cart service support for the mixin concept in the Management Dashboard.
Known problems
No known problems at time of release.
Documentation and links
User guides:
Returns and improvements
Overview
This release strengthens the end-to-end customer journey with a major enhancement to post-purchase service and several reliability improvements across cart, checkout, localization, and navigation.
The new self-service returns experience is the highlight of the update, offering customers the ability to initiate and track returns directly from their account. These benefits include reduced effort after purchase, enhanced customer relations, and decreased support requirements.
In addition, we have delivered a set of frontend improvements that increase checkout reliability, ensure cleaner cart behavior across sessions and sites, and improve international storefront consistency. Together, they contribute to a smoother buying experience and stronger conversion performance.
New features
Self-service order returns
Customers can create and track returns directly from their account for faster, easier post-sales support.
Cart and checkout optimization
Improved cart and checkout behavior when logging in, switching sites, and submitting approvals.
Better international frontend experience
More consistent language, currency, and navigation settings across the storefront.
Improved address accuracy
Shipping and billing address handling is optimized for more efficient checkout and account management.
Product search
Helps end customers identify products more efficiently.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
B2B Commerce Frontend:
Dashboard Extension
Overview
The new Dashboard view gives multi-site operators a single, site-aware view on their business. Users can switch between aggregated and per-site KPIs and arrange widgets by drag-and-drop to focus on what really drives performance.
New features
Site-aware KPI dashboard
Provides one central place to compare overall performance and individual sites, enabling faster, better-informed decisions for multi-site businesses.
Site switcher with aggregated & per-site views
Lets managers instantly move from “big picture” to local detail, improving reaction time to issues and opportunities at specific locations.
Customizable drag-and-drop layout
Allows users to tailor the dashboard to their role and priorities, increasing adoption and making daily performance monitoring more efficient.
Permission-aware visibility
Ensures restricted employees only see data for their assigned site, reducing risk and supporting compliance with data access policies.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User guide:
Single Sign On (SSO) - Token Exchange
Overview
We introduced a Token Exchange flow that lets enterprise customers connect Emporix to existing identity and platform ecosystems without changing their current login experience.
Customers authenticate users in their own system, then securely exchange that result for access to Emporix. That improves integration flexibility, preserves clear responsibility boundaries, and enables consistent token validation across distributed architectures.
New features
Flexible integration with token exchange
Easily connect Emporix with internal and third-party services without redesigning your architecture.
Clear flow ownership - client authentication, Emporix authorization
Keep control of your customer login while ensuring Emporix enforces permissions reliably within its domain.
External token validation support
Use externally issued tokens confidently while Emporix maintains a consistent and secure token model.
Reuse of authentication results (access token exchange)
Avoid duplicate logins and reduce integration effort by reusing your existing authentication outcome.
System preferences - Control SSO auto-provisioning and customer identifier (EMAIL/SUBJECT)
Flexible onboarding - auto-create new users or block unknown users for stricter control.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
API:
Related product validation improvement
Overview
We've made product related items more flexible so your teams can prepare cross-sells, accessories, and other relations even before all products exist in the catalog, while keeping control over data quality and system stability.
New features
Flexible creation of product related items
Enables more flexible catalog workflows where relations can be prepared in advance and products added later, reducing sequencing constraints for catalog and integration teams.
Configurable Relation Types in MD
Makes it easier for admins to configure and maintain related item behavior directly in the UI and ensures a robust experience when working with partially prepared product relations.
Configurable related item validation controls
Gives tenants fine-grained control over validation behavior to match their data processes, while keeping strict validation as the default to protect data integrity.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
Mixin schema version for Classification Categories
Overview
To help you keep Classification Categories aligned with the most current definitions, this improvement adds automatic visibility and management of the latest classification category mixin schema versions across your system.
You can quickly spot what's outdated and move to the newest version, reducing time-consuming maintenance and improving consistency.
New features
Automatic Latest Version Display
Always see the most up-to-date classification category version, so you know you're working with the current setup.
Version Update Notifications
Get clear notifications when a newer classification category version is available, helping you stay ahead of changes.
Manual Migration Support
Migrate to the newest version with a guided modal - control when and how updates are applied.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at time of release.
Documentation and links
User guide:
Classification Categories
Overview
The new classification categories and attribute inheritance capability enables catalog and product managers to structure large product assortments with enterprise-grade consistency and control. Reusable classification schemas define which attributes are relevant for a given category, and these attributes are automatically inherited by all subcategories and products.
This translates into a reduction in manual maintenance, fewer errors, and a faster time-to-market for new products. By reusing the existing mixin model, the solution integrates seamlessly into today's product data structures and scales across complex B2B catalogues with thousands of categories and items.
The result is a cleaner, governed product catalogue that directly supports better findability, more relevant search and filtering, and higher conversion in customer channels.
New features
Reusable classification schemas
Makes catalog setup faster and lowers implementation effort by reusing schemas across many categories.
Schema to category mapping
Improves data quality by ensuring every category always has the right, complete set of attributes.
Category and attribute inheritance
Teams classify products in child categories and automatically inherit parent attributes. That improves consistency, speeding time-to-market, and reducing manual effort.
Unified mixin model for classification
Simplifies integrations and reduces custom code by using one consistent extensibility model.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
API:
Multiple triggers
Overview
We've enhanced the Value Stream Modeller (VSM) so you can define multiple triggers at the start of a value stream. When multiple triggers are configured, the process starts as soon as any one of them occurs.
This gives you more flexibility to start the same value stream from different events, for example, from different commerce events or custom events without duplicating the process.
New features
Multiple start triggers
Fewer processes to create and manage. Start a value stream from multiple events - since the process is executed for each trigger, you can support multiple entry points without having to create and maintain separate value streams. This reduces administrative effort, reduces complexity and accelerates configuration changes.
Single use of each trigger at start
Clearer, more predictable configuration. Prevents duplicate trigger setup so your start conditions stay clean, consistent, and easier to troubleshoot.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Site Permissions
Overview
With site-aware permissions, enterprises can define and enforce access rights per site (store, market, brand, or business unit) instead of only globally. This keeps responsibilities clearly separated across multiple sites, improves security and compliance, and reduces configuration effort by reusing existing user groups. Business users only see and manage the sites they are responsible for, which simplifies daily operations and lowers the risk of errors.
New features
Per-site access control
Ensures that teams only access and manage the sites they are responsible for (for example, DE, FR, US), reducing the risk of unauthorized or accidental changes across regions, brands, or business units.
Reuse of central user groups
Avoids creating and maintaining separate role models per site. Customers can extend their existing permission setup with a site dimension, lowering configuration and maintenance effort.
Improved security and compliance through site-specific access
Limits access to sensitive data and operations to the relevant site(s) only, helping enterprises meet organizational, legal, and contractual requirements for data separation and governance.
Support for multi-tenant / multi-unit B2B scenarios
Enables clear separation between different B2B customers, tenants, or internal business units on a shared platform, allowing delegated administration without cross-impact.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Management Dashboard:
API Reference:
Emporix Java SDK
Overview
The Java SDK for our API‑first ecommerce platform gives development teams a fast, reliable way to integrate commerce capabilities into any Java‑based application. Instead of hand‑coding REST calls, handling authentication, and stitching together low‑level HTTP logic, teams work with a clean, domain‑oriented Java API that mirrors core commerce concepts like products, prices, carts, and orders.
This accelerates time‑to‑market for new digital channels like web, mobile, points of sale (POS) or partner portals. The SDK reduces integration risk, and ensures that every customer touchpoint talks to the same API‑first commerce platform. It's designed for modern, cloud‑native projects and supports typical enterprise requirements such as security, testability, and maintainability, so engineering teams can spend more time on differentiated business features and less on plumbing.
New features
Typed Java client for all core commerce APIs
Faster implementation with fewer bugs that result in teams delivering new commerce use cases in weeks instead of months.
Built‑in authentication & configuration management
Reduces security and configuration errors, which simplifies rollout across multiple environments and markets.
Ready for enterprise development practices
Enables clean architectures and sustainable codebases, reducing long‑term maintenance cost and onboarding time for new developers.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
API Guides:
B2B Commerce Frontend
Overview
We are enhancing our ACE™ platform with an improved journey-aware frontend, which is even more conversion-focused. A new Frontend AI Agent widget is now available under 'My Account'.
Collectively, these tools facilitate the discovery of products, navigation of the catalogue, and streamlined purchase completion, regardless of whether users are browsing as guests or signed in. Should they wish to, customers can also self-serve common tasks through the AI Agent. These include checking order status, finding products, managing the cart and updating account information.
The result is a faster path to purchase, higher confidence during checkout, and fewer support requests. At the same time, the framework remains flexible and can be extended to match project-specific requirements.
New features
Order lookup & status
Fewer "where is my order?" questions, better post-purchase experience, and reduced support tickets.
Product discovery
Faster product finding and improved discovery. Supporting higher conversion, especially for large catalogs.
Cart management
Smoother checkout with fewer interruptions - reducing cart abandonment and increasing checkout completion.
Account & profile updates
Less friction maintaining account data. Fewer service requests and more accurate customer information.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
User Guides:
Frontend Agent
Overview
We’ve launched a natural language Frontend Agent designed for B2B end-customers to accelerate buying and reduce friction across the full user journey. Customers can describe their requirements in everyday language and the agent understands the intent, extracts key specs, and delivers ranked, explainable recommendations without manual filters or exact keywords. Beyond discovery, it supports core B2B processes in one conversational flow: retrieves customer information, creates quotes, builds carts, reorders, and creates orders, helping shorten procurement cycles, improve decision confidence, and drive conversion.
New features
Natural language shopping & agent assistance
A simpler, faster experience! Customers can search, ask, refine needs, and complete actions without switching to different tools.
RAG-powered recommendations with explanations & alternatives
Higher confidence in suggestions and quicker decisions, thanks to transparent “why this fits” explanations.
Automatic attribute & intent extraction
More accurate results with less effort. Customers express needs naturally and still get precise matches.
End-to-end B2B commerce actions in natural language
Reduced manual steps and faster procurement cycles. Especially valuable for B2B buyers managing detailed core B2B processes.
Frontend MCP server integration
Customers benefit from a more secure and personalized experience because the Frontend Agent uses the Emporix Frontend MCP server to ensure actions are performed in the correct customer context.
Fixes and improvements
None as this is a new feature.
Known problems
No known problems at the time of release.
Documentation and links
API:
User Guides:
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