Demand forecasting for retail: order the right amount.
Too much stock ties up cash; too little loses sales. A forecasting app predicts demand per product and store, and turns it into clear orders your team can trust.
What the app does
Predicts demand
Per product, store and week, taking seasons, holidays, promotions and prices into account.
Suggests orders
How much to order and when, based on your stock, lead times and service level.
Shows what changed
Clear explanations of why a forecast moved, and alerts when sales drift from the plan.
A working pilot on your data, deducted from the price if you go to production within 60 days. Production from €9,500.
Send a written request →- Forecast error down from 32% to 18% on fast-moving products
- Stock-outs down by a third in the pilot stores
- Weekly ordering time cut from a day to an hour
Illustrative example. Your results depend on your data.
Questions
How accurate is the forecast?
It depends on your history and how stable demand is. We measure accuracy on past months before you rely on it, and show the range, not just one number.
What data do we need?
Sales history by product and store or channel, ideally two years or more, plus promotions and prices if you have them.
Does it work for new products?
Yes, by learning from similar products, with a wider range of uncertainty at first.
Can it plan orders and stock?
Yes. The app turns the forecast into suggested orders, with the stock levels and lead times you set.