The AI-powered inventory planning system for modern multichannel commerce brands. Ask in plain English — Flieber forecasts demand and builds the reorder, PO, and transfer plan you approve.
In between is a spreadsheet, a 30-day moving average, and a weekly guess. As you scale across channels and warehouses, the guess gets harder and the cost of being wrong gets bigger.
Forecasting built on Nixtla’s TimeGPT.
Flieber forecasts demand at the SKU level with a custom engine built on Nixtla’s TimeGPT — a best-in-class forecasting model. It separates real signal from stockout-distorted history, handles long horizons, and scales to millions of SKUs.
The edge cases that break other tools are the ones Flieber was designed for. Kits explode into components, preorders and backorders net out correctly, and faulty history gets cleaned before it ever hits a forecast.
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