JapanFood and restaurants2025 – ongoingKokubu Group
Airlake demand forecasts and automatic safety-stock adjustments
Kokubu deployed AI demand forecasting across 288 logistics sites
Problem
Kokubu based ordering on past sales and employees' experience. Excess inventory and stockouts created additional procurement work.
Approach
DATAFLUCT deployed Airlake across the group's targeted logistics sites. The platform combined daily operating records with local weather data to forecast demand. Forecasts fed automatic safety-stock adjustments and expanded the range of products eligible for automatic ordering.
Results
Takeaway
The forecasts were connected to inventory decisions. DATAFLUCT did not quantify the reduction in stockouts or inventory.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
DATAFLUCT reported completed deployment at 288 Kokubu logistics sites. It described weather-informed demand forecasts linked to automatic safety-stock adjustments, without numerical inventory or stockout results.
Full details are in the original sources.