AI recovers lost grocery sales with predictive queue management


A midwestern grocery chain had checkout queue issues across its 50+ store locations. Store associates would only open queues after the issue had already escalated.

The chain would frequently see shoppers abandoning cart due to long queues experiencing daily sales loss. It explored various solutions to deploy a predictive queue management system to maintain shorter checkout queues to recover lost sales and improve bottom lines.


With Zensors predictive queue management solution, the grocery chain:

  • Proactively kept the queue under 10 minutes at all times
  • Saw 5 less cart abandonments per store per day, on average
  • Saved roughly $400 per store per day

Download to read the full case study below.

June 1, 2023
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