AI-Powered Anomaly Detection in AJO for Real-Time Journey Health Monitoring | Community
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shefali_h_singh
shefali_h_singh
Level 2
July 1, 2025
Investigating

AI-Powered Anomaly Detection in AJO for Real-Time Journey Health Monitoring

  • July 1, 2025
  • 1 reply
  • 213 views

Description - Would love to see Adobe Journey Optimizer enhanced with an AI-based feature that detects and alerts on journey anomalies—such as sharp engagement drops, routing errors, or unexpected delays in customer progress.

Why is this feature important to you -

 

  • Improves real-time decision-making by flagging issues before they hurt the customer experience.

  • Helps marketers optimize journeys proactively rather than reactively.

  • Reduces manual effort in monitoring complex journeys across channels.

 

How would you like the feature to work -

This could be powered by Adobe Sensei and visualized through a heatmap or alerts dashboard, with potential tie-ins to Adobe Analytics and Workfront.

 

Curious if others see value in this? Would this help your teams optimize journeys more efficiently?

    1 reply

    Sukrity_Wadhwa
    Community Manager
    Sukrity_WadhwaCommunity Manager
    Community Manager
    August 26, 2025
    No text available
    Sukrity Wadhwa
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