An AI that explains every order it recommends
No black box, no made-up score. Luxpred learns your business product by product, computes a demand range, and tests itself on your real sales before making a recommendation. Here's how.
Four principles, no magic
Every product has its own logic
Luxpred learns the pace, seasonality and volatility of each item — from the best-seller that moves every day to the product that sells only a few times a year. One model for the whole catalogue would be a lie: each deserves its own.
A range, not a bet
A single number gives false certainty. Luxpred computes a range — likely minimum, target, maximum — and sets the order to the level of risk you accept. You decide with full knowledge; the AI doesn't decide for you.
Tested on your real sales
Before asking for your trust, the AI tests itself: it replays weeks of your past sales it has never seen, then measures its real error. The accuracy you read isn't a marketing claim — it's what it proved on your own history.
Careful where it counts
A lost sale costs more than one extra item in a box. Luxpred knows it: in its calculation, the risk of a stockout weighs twice as much as overstock. Caution leans the right way.
Less guessing, better ordering
Stockouts can cost a retailer up to 4% of revenue, and overstock ties up cash that could be working. A method calibrated on your real figures tackles both at once.
Estimate based on retail-sector studies, for guidance only.
- → You order just right: fewer empty shelves, less cash sleeping in the stockroom.
- → You understand every recommendation, in plain language — never in engineer's jargon.
- → You get back the hours spent guessing in a spreadsheet, every week.
The best proof is on your own numbers
Import a sales export and watch the method at work in under a minute — no account, no credit card.