OperationsReasoningHigh complexity
Demand Forecasting
Forecast demand by product, store and day, including promotions, weather and local events.
How we approach it
Hierarchical forecasts combine sales history, promotions, pricing, weather and events, with uncertainty ranges rather than single numbers. Planners see why a forecast moved and can override it with a reason, which feeds back into the model.
Business value
Fewer stockouts and less waste
Technology stack
- Forecasting models
- feature store
- weather data
- planning system integration
Related service
Proprietary AI DevelopmentRelated use cases
- Retail & E-commerce · OperationsInventory ReplenishmentTurn forecasts into orders automatically, with people handling the exceptions.
- Retail & E-commerce · MarketingDynamic Pricing OptimisationSet prices from demand, competition and stock levels without crossing consumer law.
- Retail & E-commerce · MarketingPersonalised Campaign OrchestrationRun personalised campaigns across e-mail, app and web without hand-building every variant.