Availability-adjusted velocity, reorder points, incoming stock — calculated automatically across hundreds of thousands of SKUs.
Every other replenishment tool divides units sold by calendar days. But you can't sell what isn't on the shelf — so a product that sold out early looks slow, and you under-order it again. And again.
Stockmind doesn't guess. It samples your warehouse's historical stock balances across the whole period and measures how many days each product was genuinely on the shelf — including the stockouts in the middle that no other method can see. Sold out on day 10 and restocked on day 50? That's 50 days of availability, not 90. Launched last month? Measured from launch.
In one real catalogue of 226,000 SKUs, this corrected the velocity of 82% of selling products — the fastest movers by as much as 6×.
And because demand moves, velocity can be trend-aware: the recent rate is weighted against the full period, so a product on the way up is ordered like one on the way up — and a fading model isn't reordered on the strength of sales it made three months ago.
Read how it works →Every week Stockmind assembles what changed and what it costs — products selling with nothing on order, ranges with no colour left to sell, generations rising and fading — and ranks it by what you stand to lose. An optional AI layer reads that back as a briefing: what to restock, which ranges to widen with new products, and what to stop buying.
The model is handed figures Stockmind has already calculated and told not to compute anything. Then every number it writes is checked back against the source data, and anything that doesn't match is flagged instead of shown as fact.
Most replenishment tools handle sold-out and single-unit SKUs with manual overrides, reference SKUs and minimum-stock rules — a human supplying the judgement the model couldn't derive. At long-tail scale that stops being maintainable.
Why the long tail breaks other tools →Replenishment intelligence that understands stockouts. Built to scale to hundreds of thousands of SKUs.
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