RestockIQ
API docs ↗

Never run out.
Never overstock.

Running a store means guessing how much of each product to reorder. Guess low — empty shelves and lost sales. Guess high — money frozen in boxes. RestockIQ studies your sales history and replaces the guess with a number.

  1. Pick a store and a product below
  2. Tell us how many units are on your shelf
  3. Get the exact quantity to order — and when

What should I do?

units to order

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will likely sell before delivery
+
cushion for busy days
already on your shelf
Under the hood

Reorder point = lead-time demand + safety stock. Safety stock = z() × σdemand × √lead. σ comes from the forecast's own P90−P50 spread (÷1.2816) — three global LightGBM quantile models trained across 30,490 Walmart series.

How good are our predictions for this product?

How to read it: the white line is real daily sales. Left of the marker is the past. Right of it, the dotted amber line is what we predicted before seeing those days, and the shaded band is the range we promised sales would stay inside about 8 weeks in 10. The band hugging the white line = the forecast you can trust.

Your whole store, one glance

All 3,049 products in ranked by how urgently they need a restock — so Monday morning starts with a list, not a guess. (Demo assumes 20 units on the shelf for every product — change “units on your shelf” above.)

ProductStatusOrderSells / dayCushion

Click any row to inspect that product above.

Proof it works

We replayed the final 28 days of real sales across all 30,490 products. Two managers, same store: one reorders on gut feel (average sales × delivery days), one follows RestockIQ.