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 PredictWave 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.