How we built an AI that identifies products and what surprised us about reseller workflows

Hey Product Hunt! 👋 Brian here, part of the maker team behind GlobalSKU.

When we started building Listings from Photos, we assumed the hard part would be product identification, getting AI to look at a photo of a random thrift store find and correctly identify the manufacturer, model, specs, and category. That was hard, but the real unlock turned out to be everything that happens after identification: pulling real-time sold comps for pricing, generating SEO-optimized descriptions tuned per marketplace, and syncing inventory across eBay, Amazon, and Walmart and others so nothing oversells.

The core workflow is dead simple: snap a photo, AI identifies the product and pulls all the data, review your listing with pricing recommendations, then publish to one or multiple marketplaces with a single tap.

Beyond individual resellers, we're also seeing GlobalSKU used in warehouses and 3PLs to rapidly identify and list returned merchandise. Instead of manually researching each item that comes back, teams can photograph returns, get instant identification and pricing, and move that inventory back to market fast.

A few things we'd love to discuss with this community:

For resellers and flippers: what's the biggest bottleneck in your current listing process? We built GlobalSKU to kill the hours of manual data entry, but we're curious what other pain points are slowing you down.

For anyone selling casually (clearing out a garage, decluttering): have you tried AI-powered listing tools before? What made you stick with or abandon them?

For warehouse operators and 3PLs: how are you currently handling product identification on returned or liquidated inventory? We'd love to hear what's working and what isn't.

And for the builders here: we're seeing some interesting patterns in how product recognition accuracy changes depending on category (electronics vs. clothing vs. collectibles). Happy to share what we've learned if there's interest.

Would love your questions, feedback, or war stories from the reselling trenches. Fire away!