Hey Product Hunt 👋 I built SalesEntry after experimenting with behavioral similarity and trajectory-based systems in other projects. The idea is simple: online stores already have thousands of real customer journeys. Instead of only showing analytics about the past, why not use those journeys to help AI agents understand what a customer might want next? SalesEntry finds similar shopping journeys, recommends relevant next products, and provides the actual behavioral evidence behind each recommendation. I also wanted it to be agent-native from the beginning, so there’s no dashboard an agent needs to “look at” — it can interact with the engine directly through MCP and APIs. There’s a public demo with historical shopping sessions, so you can try it without signing up. This is still early, and I’m especially looking for feedback from e-commerce builders, AI agent developers, and store owners. If you have real commerce data and want to experiment with it, I’d be happy to help you test SalesEntry. Thanks for checking it out! 🙌

SalesEntry

Commerce intelligence for AI agents

Commerce intelligence for AI agents