AI product research that finds winning products before they saturate

Scrolling TikTok for an hour, opening 30 AliExpress tabs, and guessing at margins is how dropshippers spent 2019. In 2026 the winning products change weekly, ad costs reward sellers who ship new SKUs constantly, and Amazon's A9 punishes stale listings — there is no spare time for manual hunting.

An AI product research tool replaces the hunting with structured scoring. Sellrith pulls live signals from 13 sources, normalizes them, and scores every candidate against the same Winning Score framework. The output is a ranked shortlist with the supporting data attached — not a hunch.

Every product candidate is scored across four dimensions: demand velocity (24-hour, 7-day, and 30-day search and engagement growth), competitive saturation (active listing counts on Amazon, eBay, Etsy plus TikTok creator coverage), supplier health (AliExpress, CJ Dropshipping, Spocket lead times and ratings), and platform fit (which marketplace the product actually ranks on).

Anything scoring above 80 is flagged green; 60–80 is yellow with a recommendation; below 60 is hidden by default. You can pull the underlying signals on any product to see exactly why Sellrith ranked it where it did.

A product research tool that hands you a CSV is half a tool. Every Sellrith candidate ships with a one-click handoff to the AI listing generator — keyword research, platform-specific copy, ad scripts, and structured data are generated against the product you picked, ready to publish to Shopify, Amazon, Etsy, eBay, TikTok Shop, or Facebook Marketplace.