Retail & consumer
Inventory and replenishment forecasting
See future stock positions, shortage risk, and excess inventory across products and locations.
Sound familiar?
- Safety stock set by gut feel — too much in some locations, too little everywhere else
- Stockouts discovered when the shelf is already empty
- Working capital trapped in inventory nobody will buy
Inventory position
units on hand · Live forecast
Driver
On-hand stock
Driver
Open orders
Driver
Lead time
Forecast horizon
2–26 weeks
Refresh cadence
Daily
Built for
Inventory planning · Procurement
What you can predict
One forecast can answer several operational questions.
Forecast demand and inbound supply together so teams can understand when inventory will run short, where excess will accumulate, and how much safety stock is justified.
Projected stock by SKU-location
Stockout probability
Weeks of supply
Excess and aging inventory
Questions teams need answered
- Which items will stock out first?
- Where can inventory be rebalanced?
- How much safety stock is needed?
- Which orders should be expedited or deferred?
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.
Supplier lead time increases
Recalculate shortage dates and affected revenue
Transfer inventory between regions
Compare service levels before moving stock
Inventory position
units on hand · Scenario comparison
What if
Supplier lead time increases?
Driver
On-hand stock
Driver
Open orders
Driver
Lead time
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh inventory position on a daily cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Stockout probability crosses a threshold
- Weeks of supply falls below policy
03 · DECIDE
Put the result to work
Build a inventory planning forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.