For Heads of Planning, Buying, and Operations at fashion retailers and manufacturers. Horizon forecasts at SKU × store × week with cold-start models for 6-month product lifecycles, and writes replenishment recommendations back into the ERPs your buyers already run on.
Fashion seasons are short. Miss the window and you're stuck with markdowns.
Consumer preferences shift rapidly. Yesterday's bestseller is today's excess inventory.
Thousands of SKUs across sizes, colors, and styles make manual forecasting impossible.
Launch new collections without historical data. Forecasting is pure guesswork.
Models trained specifically for fashion seasonality patterns
Understand demand at style, color, and size level
Optimize markdowns and promotional calendars
At SKU × store × week granularity across the catalog
Financial reconciliation, treasury forecasting, inventory optimization, and production scheduling, phased so you evaluate before committing further
Validated by backtest at SKU × store × week granularity
New collections forecast without history using attribute-based similarity to past styles