Case Study

Optimizing Staffing and Product Availability for FavTrip

FavTrip proudly bags their own ice, which is a trip driver for customers and high-margin profit driver for their stores. Despite consistently high customer demand, sales of bagged ice were not meeting expectations on Saturdays and Sundays. Transaction data (T-logs) and other potential sources of information were not able to diagnose the root cause of the issue. They turned to InStore.ai to understand the root cause of low ice sales during weekends and take immediate action.

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Find out how we helped FavTrip optimize staffing and product availability.
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