Watches what's selling, predicts the day each product runs dry, and emails the owner what to order and when — so a best-seller never goes out of stock unnoticed.
What people were doing manually: eyeballing sales history or waiting until a product physically ran low before placing a reorder — a reactive habit that works fine until the busiest item runs out during the busiest week.
Restock Radar connects to a store's sales data, tracks velocity per product, and forecasts the specific date each item is projected to sell out. It emails the owner a plain-English reorder recommendation ahead of that date — no dashboard to check, no report to run.
Now: it watches what's selling, predicts the day each product runs dry, and emails the owner what to order and when. Designed, built, and shipped by me, start to finish.
I'd instrument usage from day one — the earliest version had no way to tell which recommendations owners actually acted on, which made it harder to prove the forecast was worth trusting.
Unlike the other two case studies, this one is entirely mine — no employer, no confidentiality constraints. I don't yet have a public screenshot gallery or named customer testimonial published here; that's the next thing I'll add.
Tell me how you currently decide when to reorder and I'll tell you plainly whether this applies.
Show Me Your Workflow