The problem it solves

Purchasing today runs on last year's spreadsheet plus gut feel. Overstock ties up working capital; stockouts hand your best customers a reason to try a competitor. Seasonality, promotions, and B2B contract cycles all move demand — but no buyer can track them across thousands of SKUs.

What it does for your business

Forecasts per SKU, per location

Weekly demand predictions for every product at every warehouse or store, refreshed nightly from your ERP order data.

Feeds your reorder points

Forecasts flow into purchasing suggestions — quantities, timing, and safety stock — instead of sitting in a report nobody opens.

Understands your calendar

The model learns your seasonality, promotion lifts, and contract renewal cycles from 18–24 months of your own history — not industry averages.

Explains itself

Every forecast ships with plain-language drivers ('holiday pre-build starting', 'promo lift fading') so your buyers trust it enough to act on it.

How it works

Gradient-boosted tree models (XGBoost / LightGBM) or Prophet, trained per SKU/location on your historical order lines with engineered features for seasonality, promotions, price changes, and account contract cycles. Validated on held-out months so you see accuracy before launch.

What we need from you

18–24 months of order history (order lines with dates, SKUs, quantities, locations), your item master, and promotion calendar if available. A CSV export from your ERP is enough — we handle the cleanup.

See Demand Forecasting on data like yours

A 30-minute walkthrough on live sample data — including how the model is trained and validated.

Request a Demo