Why We're Building Genflux: Fixing Product Discovery with AI
Learn why Genflux is redefining product discovery with AI and how it helps e-commerce stores increase visibility and sales.
July 7, 2025 • By Genflux Team
In recent years, e-commerce platforms have seen a wave of AI adoption: from recommendation engines to automated support bots. But when it comes to actually helping customers find and buy products, most AI tools still fall short.
At Genflux, we believe the next wave of AI in e-commerce isn't about answering FAQs. It's about converting intent into sales.
Here's how we got here and where we're going next.
The Hidden Complexity Behind e-commerce Search
We've experienced this ourselves: searching on well-known e-commerce sites and coming up empty, even when we knew the product was there. Friends told us the same: "I tried to find it, gave up, and just bought it somewhere else."
With years of experience working on enterprise e-commerce platforms, we've seen how rigid and manual traditional search systems really are. They rely heavily on structured data, exact keywords, and constant backend configuration: synonym mapping, merchandising rules, ranking logic. It takes constant tuning and rarely adapts well to how people actually search.
Shoppers don't speak in perfect keywords. They ask for "comfy shoes for standing all day" or "a gift for a 10-year-old who likes science". Most site search engines aren't built for that: and that's where the opportunity lies.
From Support Bots to Sales Agents
Many AI tools in e-commerce were built to reduce support costs - not to drive sales. They sit quietly in the corner of the screen, ready to answer order status questions or return policies. Helpful? Yes. Revenue-generating? Not really.
But when a shopper is trying to decide what to buy, that's a very different moment - and it's where most tools disappear.
Genflux is built specifically for this high-intent moment. It's not there to deflect support tickets. It's there to act as a real-time, intelligent guide - helping shoppers navigate product catalogs, clarify their needs, and discover what actually fits.
That shift - from reactive to proactive, from scripted to conversational - is where we see the real impact of AI in e-commerce.
Why This Is Possible Now
Advances in large language models (LLMs) have changed what's possible. We can now build systems that understand real intent - not just match keywords - and do it at a level that was unthinkable even a few years ago. At the same time, customer expectations have evolved. People are used to talking to AI in chat, in search, and in their inbox. They expect online stores to understand them, too. The timing is right - both technically and culturally.
What's Next?
We're currently building the first version of Genflux for platforms like Shopify and WooCommerce.
It's designed to be plug-and-play, focused on one clear goal: help your customers find what they want, so you close more sales.
If you run an e-commerce business and care about product discovery, we’d love to hear from you.