AI Agent Performance Analytics – Now Available for HQ

Until now, Retail Execution lacked full visibility at the point of impact.

HQ did not have a reliable, real-time view of what was happening at the shelf, what was executed, what was not, and why. Execution data was often delayed, inferred, and difficult to validate.

This changes with the introduction of AI Agent Performance Analytics.

AI Agents now capture and report execution data directly from the shelf, reflecting both real conditions and real actions at the moment they occur. Every task is guided, executed, and verified with data at the source.

What’s new

HQ teams can now access a complete, real-time view of Retail Execution:

• Shelf conditions: availability, compliance, and in-store reality
• Execution tracking: every task performed, step by step
• Missed execution insights: including structured reasons
• Decision transparency: visibility into Next Best Action logic
• Store and regional performance: real-time coverage and trends
• Team effectiveness: execution quality and productivity

What this enables

• End-to-end visibility from shelf to HQ
• Verified execution data captured at the source
• Faster and more confident decision-making
• Elimination of execution blind spots

Retail Execution is no longer based on assumptions or delayed reporting. It is now: real-time, verified, and fully transparent.