BGF Retail (CU)
Smart Ordering 2.0 deep-learning replenishment
CU reported 20.8% fewer stockouts and 4.8% higher sales after rolling out Smart Ordering 2.0
Problem
Store operators had to review sales and inventory when deciding daily orders. Demand varied with seasons and promotions, while stockouts cost sales.
Approach
CU expanded its smart ordering system to roughly 4,000 products. Deep learning used sales records and demand variables to calculate order quantities and support automatic ordering. Phased deployment began in April 2023.
Results
Takeaway
The replenishment system addressed both ordering work and product availability. CU did not disclose a control group or the measurement period for the reported changes.
Categories
- Size
- Large enterprise
- Industry
- Retail and e-commerce
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Bridge Economy described CU's deep-learning ordering upgrade and expanded product coverage. It attributed stockout and sales changes of 20.8% and 4.8%, respectively, to CU.
Full details are in the original sources.