Request for Feature Enhancement (RFE) Summary: |
Implement an intelligent content recommendation engine to leverage AI and machine learning to suggest relevant content for each page, driving increased engagement and business outcomes.
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Use-case: |
Marketers need a way to deliver the most relevant and engaging content to users based on their behavior, interests, and the current context. By providing AI-powered content recommendations, AEM Sites can help surface the most impactful content to drive conversions and achieve business goals.
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Current/Experienced Behavior: |
Currently, marketers must manually curate and select content for each page, which can be time-consuming and may not always align with user preferences. There is no automated way to surface top-performing content or make recommendations based on user behavior and business rules.
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Improved/Expected Behavior: |
With the intelligent content recommendation engine, AEM Sites would analyze user interactions, content performance metrics, and contextual data to suggest the most relevant content for each page. Marketers could set business rules to prioritize certain content types or topics, and track the engagement and revenue impact of AI-recommended content.
The system would learn and optimize recommendations over time based on user interactions, providing valuable insights to marketers on content performance and opportunities for improvement.
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Environment Details (AEM version/service pack, any other specifics if applicable): |
AEM + Adobe Experience Platform + RT CDP |
Customer-name/Organization name: |
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Screenshot (if applicable): |
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Code package (if applicable): |
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