Insights on resale, circular fashion, and AI-powered recommerce from the Fioobra team.
AI is making secondhand and vintage resale scalable for the first time. In this post, we break down the three forces now converging: an explosion in multimodal and agentic AI, EU regulations that make recommerce mandatory, and a secondhand market that has hit critical mass, and why the timing is fundamentally different from just a few years ago.
Most resale businesses solve cataloging with a patchwork of manual steps and single-purpose tools: photos here, pricing research there, and cross-listing that only copies what a person already wrote. The result is a workflow that is fragmented and impossible to scale without adding headcount. This post breaks down why the current stack fails, and what a real solution needs to change.
Manual cataloging is the "hidden work" in textile secondhand and vintage resale: every garment must be photographed, described, measured, and priced one by one. Unlike new retail, where a single listing can sell hundreds of identical units, secondhand retailers must do this for every single item, making it nearly impossible to compete at scale. As volumes surge and sales channels multiply, labor costs climb and the unlisted "death pile" grows.