Why we built it
Independent specialty shops, like running stores, carry hundreds or thousands of products, each in a spread of sizes. The owner usually finds out a popular size needs reordering when a customer asks for it and it’s gone. Meanwhile, money sits on the shelf in sizes nobody buys, and putting together an order takes hours they don’t have.
The answers are already in the store’s point-of-sale system. They’re just buried. Jaystock is a product we own and run that digs them out and puts them on one clear screen.
What it does
- Know what to buy. A list of sizes about to sell out, with a suggested quantity to reorder and an estimate of the sales at risk if you don’t.
- Spot what isn’t moving. Slow sellers stand out, so owners can stop reordering them and free up cash.
- Build the order. Turn the suggestions into a purchase order in minutes, ready to send to the supplier.
- Ask in plain English. Questions like “what’s about to sell out?” get a straight answer, no spreadsheet needed.
- Share without handing over the keys. Sales reps get their own view of their brands, and multi-store owners get suggestions for moving stock between locations instead of ordering more.
Safe by design
Jaystock connects to Lightspeed (both R-Series and X-Series) and Shopify, and it only ever reads data. It can’t change a price, a product or a stock count, and that’s enforced at several layers, not just promised. For a shop owner, that means trying it carries no risk to the system that runs the business.
We set each store up ourselves, so the owner doesn’t configure anything. Anyone can click around a demo store on the Jaystock site before talking to us.
Fast, with AI, and built to last
Jaystock went from a first line of code in May 2026 to a demo with a real shop’s data within a month, and it was approved for the Shopify App Store that October. We built it with AI doing much of the heavy lifting and senior judgment deciding what shipped.
It’s the approach we offer clients: get a working version in front of real users quickly, then keep improving it without breaking what already works.