> For the complete documentation index, see [llms.txt](https://developer.emporix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.emporix.io/release-notes/archive/2025/2025-10-22-ai-events.md).

# 2025-10-22: ACI - Commerce Events in AI Agents

## Overview

We’re excited to introduce a new capability that lets AI Agents seamlessly integrate with ecommerce events. AI can now recognize, process, and react to events like purchases, cart updates, and order cancellations in real time—driving smarter automation and more personalized customer interactions. These events can be set as triggers within AI Agent logic for effortless integration into the commerce processes.

## New features

| Feature                           | Benefit                                                                                                                                                                    |
| --------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Automated event processing**    | AI Agents automatically process commerce events (for example, purchases, cart updates, cancellations) and trigger workflows, reducing manual effort and operational costs. |
| **Context-aware response engine** | AI Agents deliver event-specific, real-time actions or communications that improve customer satisfaction.                                                                  |
| **Configurable event triggers**   | Standard and custom ecommerce events can be set as triggers, giving businesses flexibility to align automation with their unique processes needs.                          |
| **Process integration**           | AI Agents embed directly into your system with minimal configuration, accelerating time-to-value without disrupting operations.                                            |

## Fixes and improvements

None as this is a new feature.

## Known problems

No known problems at time of release.

## Documentation and links

User guides:

* [Agentic Commerce Intelligence](/agentic-commerce-intelligence/agentic-intelligence/agents.md)

API Reference:

* [AI Service](/api-documentation/api-guides/artificial-intelligence/ai-service.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://developer.emporix.io/release-notes/archive/2025/2025-10-22-ai-events.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
