Agriculture & food
Food demand and waste forecasting
Predict demand for perishable products while accounting for shelf life, substitutions, events, and weather.
Sound familiar?
- Perishables written off in one store and sold out in the next
- Daily orders placed on yesterday's gut feel
- Weekend weather swinging the mix after production is already fixed
Daily item demand
units / day · Live forecast
Driver
Sales
Driver
Shelf life
Driver
Price
Forecast horizon
1–28 days
Refresh cadence
Hourly or daily
Built for
Supply planning · Store operations
What you can predict
One forecast can answer several operational questions.
Maintain product-location forecasts that support ordering and production decisions where excess becomes waste and shortages lose sales.
Item demand by location
Waste risk
Sell-through
Production requirement
Questions teams need answered
- How much should each location prepare?
- Which items are likely to expire?
- What will weather do to the mix?
- Where should surplus be moved?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Temperature rises over the weekend
Recalculate category mix and quantities
Reduce an order
Compare waste and availability risk
Daily item demand
units / day · Scenario comparison
What if
Temperature rises over the weekend?
Driver
Sales
Driver
Shelf life
Driver
Price
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh daily item demand on a hourly or daily cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Expected waste exceeds tolerance
- Demand is likely to exceed fresh inventory
03 · DECIDE
Put the result to work
Build a food demand forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.