Stop overstocking. Stop running out.
SKU-level demand forecasts your planners trust — and reorder recommendations they can act on.
average annual savings from inventory rebalancing in pilot accounts
What's broken today
Spreadsheet-based forecasts are slow, brittle, and one resignation away from disaster.
Excess inventory ties up cash; stockouts kill the customer experience.
Promotions and seasonality break naive forecasts every time.
Built for the way operators actually work
Hierarchical SKU forecasting
Forecasts at SKU, location, channel — reconciled to the category and total business.
Promotion + seasonality awareness
Models account for promo lifts, holidays, and weather signals automatically.
Reorder recommendations
Tell us your service level and lead times; we tell you what to order and when.
Ask Predict Labs anything
Three steps to your first prediction
Bring your sales and inventory history
ERP, WMS, or even a CSV of SKU movements works.
Pick the SKUs that matter
Start with your A and B items; we'll handle the long tail.
Plan with confidence
Daily-updated reorder lists, excess-inventory alerts, and a forecast you can show the board.
What you'll need
These are the typical data sources for demand planning & inventory optimization. You don't need every source on day one — start with what you have.
- Sales/orders history (24+ months)
- Inventory on hand by location
- Lead times and reorder points
- Optional: promo calendar
Try Demand Planning & Inventory Optimization on your own data
Free for 14 days. No credit card. No data scientist required.