Sprouts Farmers Market
AI early leak detection for store refrigeration
Sprouts' AI leak detection flagged 21 refrigerant leaks that its existing sensor-based method missed in a nine-month test
Problem
Refrigerant leaks in store refrigeration systems are costly and often found late. Sprouts relied on a sensor-based maintenance service to catch them.
Approach
Sprouts tested Axiom Cloud's AI-driven Early Leak Detection module at 115 California stores from April to December 2023. The test ran head to head against the existing sensor-based method, which the source calls the Alternative.
Results
Takeaway
A side-by-side test against the incumbent method gave Sprouts a direct comparison of both detection rate and timing. The figures come from the AI vendor.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
The trade outlet reports a nine-month test of Axiom Cloud's AI leak detection at 115 Sprouts stores in California. Axiom found 21 leaks the sensor-based method missed and flagged the 11 shared leaks 47 days earlier on average. The figures are Axiom's.
Full details are in the original sources.