Optimizing food-waste forecasting
Retailers and canteens over-produce perishables because demand forecasts ignore local events and weather.
Problem
Bakeries and grocery perishables desks dump unsold stock nightly while also stocking out of popular items.
Current workflow
Managers use last-week averages plus gut feel, then adjust mid-day with markdowns.
Consequences
Food waste, lost margin, and unnecessary logistics emissions.
How AI might help
Demand models combining weather, local events, and promotions can set production and ordering quantities.
Limits & risks
Cold-start for new products; sudden disruptions still need human override.
Understocking essential staples; amplifying biased historical shortages.
Alternatives today
Static safety stock, end-of-day apps for surplus sales.
Safety stock overshoots; surplus apps treat symptoms after production decisions.
Evidence
- UNEP food waste index insights
Quantifies retail and food-service waste drivers.
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