A small shop owner I know had thousands of dollars of stock sitting on shelves that hadn't moved in months. Still paying rent on that shelf space. Still reordering the things that DID sell — by gut feel.
Retail doesn't have a data problem. It has a trapped-cash problem. I built StockSentry for the InfiniSynapse Vibe Coding Hackathon to put a number on it — free, no signup, works from a CSV export your POS already makes.
Start here: the Dead Stock Detector. Upload your inventory and it tells you exactly how much cash is locked in SKUs that haven't sold in 30/60/90 days. Not a chart. A number, in dollars, per item.
Then:
- Discount Ladder Simulator — if you discount 10/20/30%, how long until it clears? What do you recover vs. write off?
- Viral Spike Simulator — a product goes viral overnight. What breaks first? What do you lose by stocking out on day two?
- True Restock Calculator — reorder points from actual velocity, not habit
One promise on the tin: StockSentry labels every number honestly. If a figure comes from a heuristic, it says so. If it's AI-assisted analysis, it's badged as such. Black-box "AI says so" is how tools lose trust with real shop owners.
Try it with the built-in demo CSV:
👉 https://stocksentry-bice.vercel.app
Code: https://github.com/rossycoder/stocksentry
Shop owners and retail folks: what's your dead-stock number? I genuinely want to know if the detector matches what you see on your shelves.
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