Overbuying fabric ties up cash and creates waste. Underbuying means missed sales. AI demand planning tools aim to narrow that gap by forecasting how much of each style will sell.
How it works
Models learn from past sales, seasonality, promotions, weather and trend signals, then predict demand by style, size and colour. Planners use these forecasts to set buy quantities.
What it means for fabric
- More accurate fabric quantities per colour
- Earlier signals to reorder best-selling fabrics
- Less leftover fabric at the end of a season
Making it work with suppliers
- Share forecasts with your fabric partner early, even if they are not final.
- Use base fabrics or RFD fabric that can be dyed to demand.
- Agree reorder lead times in advance for key qualities.
A good forecast is only useful if supply can respond. Talk to us about flexible fabric programmes.