I am sure you have seen the videos, they're quite something. Picture Black Friday morning at a popular store. Six a.m. Still a little dark. Crowds of people pushing through the doors at once, each with a different list, a different budget, different taste. Some know exactly what they want. Some are browsing. Some will leave if the line is too long. Often, chaos ensues.
Now imagine they are robots in the ether, each running in its own cloud browser, each with a persona and a shopping intent, and each one needing an LLM to guide them and decide what to do next. Click, scroll, add to cart, or leave.
SimGym
A merchant changes their storefront. New theme, different layout. How do they know if it is better? Deploy it, A/B test it, wait days or weeks for statistical significance, pray to the gods you did not tank conversion. Small merchants have it worse: typically they don't have enough traffic for testing to converge at all.
SimGym changes this. We send hundreds of robots to browse the merchant's store in a contained environment. Each has a persona, a budget, and a shopping intent. Each runs in a cloud browser. No mocked DOM, no shortcuts. The robot sees the page, decides what to do, clicks, scrolls, adds to cart. A twin does the same on the alternate theme. A simulated A/B test in minutes instead of weeks, even for stores with zero real traffic.
