Every time a shopper loads a page, Osmo runs the same loop. It takes thirty‑eight milliseconds, and it is the only thing we do.
See what the shopper is doing right now — what's in the cart, whether they've shopped here before, whether they buy at full price, how much room you have on margin, what's selling slow.
Lay out every offer you've turned on: each discount level, each free‑gift product, each free‑shipping threshold, each bundle, and showing nothing.
For each offer, predict the margin you'll earn — and how confident the engine is in that number.
Render the chosen offer inside your Shopify theme. No redirects, no flicker, no extra app blocks.
Within the hour, the result — did they buy, what did they buy, what margin did you keep — flows back. Every shopper teaches the next.
Checkout has to feel instant, and it has to protect your margin. A big language model can do neither — it takes a third of a second to think and it cannot show its work. Osmo is small and specialised: roughly 88 kilobytes per store, sitting at the edge of Shopify’s network. Every decision comes with a number you can read — expected margin, a confidence range, and the offer it picked. If you ever need to ask why, the answer is on one line.
model size, per store
to evaluate one offer
made-up answers, ever