Retail & consumer
Retail demand forecasting
Anticipate demand by product, store, channel, and region before buying or allocation decisions are locked.
Sound familiar?
- Stockouts on best sellers while slow movers pile up in the back room
- Buying decisions locked weeks before demand is actually known
- Promotions that spike demand in one store and create dead stock in another
Units sold
units / day · Live forecast
Driver
Price
Driver
Promotions
Driver
Stock availability
Forecast horizon
1–16 weeks
Refresh cadence
Daily or weekly
Built for
Demand planning · Merchandising
What you can predict
One forecast can answer several operational questions.
Combine sales history with price, promotion, availability, calendar, weather, and local signals to maintain a demand forecast at the level your planners operate.
Unit demand by SKU and location
Category and channel demand
New-product launch curves
Promotion lift and post-promotion demand
Questions teams need answered
- What will each store sell next week?
- Where will demand exceed available inventory?
- Which categories are changing fastest?
- How wide is the likely demand range?
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.
Increase promotion depth
Compare incremental demand with the baseline
Delay replenishment by seven days
Identify locations at risk of lost sales
Units sold
units / day · Scenario comparison
What if
Increase promotion depth?
Driver
Price
Driver
Promotions
Driver
Stock availability
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh units sold on a daily or weekly cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Demand exceeds available-to-promise inventory
- Forecast shifts materially after a promotion starts
03 · DECIDE
Put the result to work
Build a demand forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.