---
title: CJA: AI powered Insights
slug: docs/cja-ai-powered-insights
docTags: 
createdAt: 2025-02-14T09:33:59.525Z
---

You can demonstrated **AI driven insight** in Customer Journey Analytics with the help of following features

::::::Tabs
:::::Tab{title="AI Assistant"}
AI Assistant is a conversational experience that allows practitioners to perform tasks at a fast pace. Whether the task is to understand concepts, troubleshoot problems, or search through information.

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**Product knowldge**

The AI Assistant in Customer Journey Analytics is trained on its Adobe Experience League documentation. When asked a question, AI Assistant responds with a helpful answer that enables quick learning.

Sample prompts:

:::BlockQuote
How to create a calculated metric?
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:::BlockQuote
How to perform record stitching using custom attributes?
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:::BlockQuote
What access do I need to edit project?
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**Data analysis & visualisation**

Users can leverage AI Assistant to perform quick analysis on certain metrics and auto generate visualizations.

Sample prompts:

:::hint{type="info"}
Please make a copy of project created using **`Omni-Channel - Multi-Indutry`** dataview.

AI Assistant will refer the latest date range used in the reporting panel and default analysis is based on monthly data (*unless explicitly specified*).
:::

:::BlockQuote
*Trend page views in last 6 months, starting from 2025-01.*
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:::BlockQuote
*Number of events between 2024-05 and 2024-08?*
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:::BlockQuote
*Number of events in the quarter of 2024-08?*
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:::BlockQuote
*What is the maximum number monthly order in last 13 months?*
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:::BlockQuote
*Top 10 prducts with highest order value*
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:::BlockQuote
*Other than "No value" channel, which all channels contribute for more orders?*
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:::BlockQuote
User order value analysis at session level.
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![AI Assistant data analysis](https://api.archbee.com/api/optimize/NXbLtbNUHqcezf3QGwYNX-JHz55mVa2ZMWFrxBiAnL9-20250214-121733.png "AI Assistant data analysis")
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:::Tab{title="Attributions model"}
Use **algorithimic** attribution model, which leverages machine learning to assign attribution values across various contributing factors and channels of successful conversion events. 

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:::

:::::Tab{title="Anomaly detection"}
Automatically find statistically significant differences across your data.

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:::VerticalSplitItem
![Anomaly detection on table](https://api.archbee.com/api/optimize/NXbLtbNUHqcezf3QGwYNX-2MDmn2ylczXldJAvfaG3e-20250214-102448.png "Anomaly detection on table")
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:::Tab{title="Intelligent captions"}
Generative AI automatically produces insights and provides user-friendly captions about key trends and important events found in data.

::Image[]{src="https://api.archbee.com/api/optimize/NXbLtbNUHqcezf3QGwYNX-EhlejQ7oT6BwHhs9V9ccJ-20250214-112518.png" size="50" width="1260" height="1328" position="center" caption="Intelligent caption generated by AI" alt="Intelligent caption generated by AI" darkWidth="1260" darkHeight="1328" showCaption="true"}
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:::Tab{title="Experimentation panel"}
Evaluate the impact and validity of experiments, across channels, from any online and off-line source with enhanced analysis supported by machine learning.
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