Announcing ReFiBuy Commerce Intelligence Engine
A look inside what we've been building at ReFiBuy to optimize Agentic Shopping Engines
The primary goal at Retailgentic is to share what we learn as we dive deep into the challenges and opportunities at the intersection of Retail/Commerce and Agentic - thus the name Retailgentic.
Today, I wanted to share details on what we’ve been building at my startup ReFiBuy, because I think it provides some insights and learnings into how you can DIY if you prefer for managing Agentic Shopping Engines.
AI Helps you Build FAST! 💨
The first thing I’d like to point out - this is my fifth startup and I like to go fast. As CEO, I’m often pushing the team to ‘go faster’. Well, I have to say, we incorporated Jan 27, 2025 and to have a product out that is this robust, hardened and feature rich in under 9 months is just crazy. No corners were cut, in fact we went so fast we kept adding features to our V1 and historically you eject features out of your V1.
We are fortunate to have access to a group of ecommerce experts that know the type of problems around domain-level information (ecommerce, product catalog, online channels, etc.) really deeply and we’ve built at scale, but AI and, even more specifically building on a foundation of Agents is really incredible. If anything once we got our foundations in place and started getting design partner feedback, we were able to go even faster. Let’s just say, I no longer feel the need to urge to tell the team to go faster 😁.
Our Ideal Customer Profile (ICP)
The system is built for retailers, brands and the agencies that support them as they sell online. Our goal is to help them prepare for and optimize for Agentic Shopping Engines (ChatGPT, Perplexity, Copilot, Gemini, Meta.ai, Anthropic/Claude, Xai/Grok) which are growing rapidly in popularity with consumers.
"ReFiBuy's Commerce Intelligence Engine has accelerated our understanding of our readiness for Agentic shopping experiences and how GenAI understands our product catalog,“ said Josh Krepon, President of US Direct to Consumer and Global Digital, Steve Madden. “The platform's insights and actionable recommendations enhance our content and visibility for our GenAI digital shelf. The product-level GEO monitoring capabilities will play a key role in future-proofing for this new era of commerce."
Commerce Intelligence Engine Capabilities
Four Key Capabilities: Evaluate, Enrich, Monitor, Closed Loop
While the platform is powered by Agents, they provide four key capabilities:
Together the solution provides a 360-degree view of your Agentic Shopping Strategy that is measurable and, most importantly actionable.
Want to Learn More?
Today our ReFiBuy website now has mini demos of each capability and we are scheduling full demos or if you want to submit a PDP URL and have a report sent to you, we have both those options here.
Also the full press release is here→
