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SalesEntry
Commerce intelligence for AI agents
SalesEntry turns real shopping journeys into actionable commerce intelligence. It finds similar customer behavior, recommends what a shopper is likely to want next, and shows the evidence behind each recommendation. Built for AI agents from day one — connect through MCP or API, without another analytics dashboard.
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! 🙌
About SalesEntry on Product Hunt
“Commerce intelligence for AI agents”
SalesEntry was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #140 on the daily leaderboard. SalesEntry turns real shopping journeys into actionable commerce intelligence. It finds similar customer behavior, recommends what a shopper is likely to want next, and shows the evidence behind each recommendation. Built for AI agents from day one — connect through MCP or API, without another analytics dashboard.
On the analytics side, SalesEntry competes within Artificial Intelligence, E-Commerce and Development — topics that collectively have 527.1k followers on Product Hunt. The dashboard above tracks how SalesEntry performed against the three products that launched closest to it on the same day.
Who hunted SalesEntry?
SalesEntry was hunted by Serhii Ovsiienko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SalesEntry including community comment highlights and product details, visit the product overview.
Serhii Ovsiienko