JapanFood and restaurants2023 – ongoingSuntory Holdings
AI demand forecasting for spirits supply planning
Suntory reported saving 6,000 hours a year after introducing AI demand forecasting
Problem
Demand forecasting required substantial work as market conditions changed. The spirits logistics team needed faster planning.
Approach
Suntory System Technology worked with the spirits company's logistics department to develop and operate demand-forecasting AI internally. The project reduced supply-and-demand planning work. DataRobot also participated in a seminar presenting the implementation.
Results
Takeaway
The internal IT team worked directly with logistics staff on forecasting. The reported benefit concerned planning work rather than a disclosed reduction in inventory.
Categories
- Size
- Large enterprise
- Industry
- Food and restaurants
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Vendor case study
Sources
Source summaries
The seminar description reported an operating forecasting project developed by Suntory's IT and logistics teams. It attributed 6,000 hours of annual work reduction to the implementation.
Full details are in the original sources.
