Hey Product Hunt community! 👋 I’m Aric, the founder of Upsello. My background is in quantitative investment and data science. Coming from that world, I always look at user behavior through the lens of high-frequency signals and factor models. For a long time, looking at e-commerce customer interaction felt broken. Most AI shopping assistants are lagging indicators—they wait passively for a generic prompt like "Where is my order?" and treat every shopper as a flat, static profile. They miss the real-time behavioral ticks: hesitation on a product page, shifting price sensitivity, or micro-signals of abandonment. That’s why we built Upsello. We wanted to treat a storefront not just as a static catalog, but as a live order book of intent. How Upsello applies real-time behavioral intelligence: Tick-Level Behavior Interpretation: It reads real-time behavioral patterns to detect intent shifts before the shopper bounces. Contextual Factor Matching: Instead of random keywords, it dynamically correlates catalog attributes with the visitor’s current session trajectory to recommend the next-best item. Unified Execution Layer: It merges support, proactive selling, and cart recovery into a single low-latency loop. If you’re a Shopify merchant or building intelligent agents, I’d love for you to try it out. We have a free plan ready, and I’m hanging out in the comments all day to talk architecture, agents, and conversion engineering! 🚀

Upsello

AI shopping assistant that sells, not just chats

AI shopping assistant that sells, not just chats