Stockouts cost retailers $1T globally per year. Overstock ties up 25–30% of working capital. Manual forecasting with spreadsheets misses seasonal patterns and trends. A single stockout on a bestseller can cost $10K–$50K in lost revenue. Most brands reorder based on gut feeling, not data.
AI-powered demand forecasting that analyzes your sales history, seasonal patterns, marketing calendar, and supplier lead times to generate precise reorder recommendations — telling you exactly what to order, how much, and when.
E-commerce brands doing $500K–$20M in annual revenue managing 200–5,000 SKUs, operations managers tired of spreadsheet-based ordering, and DTC brands with seasonal demand patterns
Supply chain disruptions made forecasting critical. Cash flow pressures mean brands can't afford overstock. AI can now detect patterns humans miss in sales data. Multi-channel selling makes inventory management exponentially more complex.
$99/mo (up to 500 SKUs), $249/mo (up to 2,000 SKUs + seasonal), $499/mo (up to 10,000 SKUs + supplier tracking), $999/mo (unlimited + API + custom models). Annual: 20% discount.
Free but error-prone, no seasonal adjustments, no automated alerts, breaks at scale
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