United StatesRetail and e-commerce2022 – ongoingCUB
Afresh produce-ordering pilot
CUB's produce teams accepted 92% of AI order recommendations during a store pilot
Problem
Experienced produce managers were leaving, while less experienced employees took responsibility for orders. Existing tools required substantial inventory maintenance and did little to transfer ordering expertise.
Approach
CUB tested Afresh in 7 stores with differing performance and staffing conditions. Its AI recommendations guided produce orders through standardized workflows without requiring perpetual inventory records. The pilot lasted 3 months.
Results
Takeaway
The pilot measured employee acceptance alongside efficiency, connecting recommendation quality with actual ordering work.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Afresh described CUB's 3-month pilot across 7 stores. It reported 92% acceptance of order recommendations and an 8.8% improvement in store-team efficiency.
Full details are in the original sources.