How online sellers, including Amazon and GOAT, are using AI to spot counterfeit goods, with the help of authentication startups like Entrupy
When Olivia Matthaei, a consignment store sales clerk, needs to check whether a designer handbag is authentic, she knows the drill.
Context & Ripple Effects
Marketplace anti-counterfeiting has been moving from manual, fee-based checks toward automation for years: eBay's authentication program for high-end goods in 2017 outsourced verification as a paid service, while Amazon's answer was product-level marking, expanding its Transparency QR-code program beyond the US in 2019.
The WSJ story adds a new layer to that arc: AI authentication startups like Entrupy now sit between sellers such as Amazon and sneaker-and-luxury reseller GOAT and their inventory, letting clerks like Olivia Matthaei verify handbags with a device rather than an expert. It matters because it turns authentication from a per-listing cost center into scalable software.
First-order effects
- Entrupy and its peers convert counterfeit screening into a subscription product, with GOAT and other resale platforms becoming anchor customers whose listing volume directly funds the model's training data.
- Consignment stores and marketplace sellers gain same-day machine verification of designer items, cutting their dependence on scarce human authenticators for each high-value bag or sneaker.
Second-order effects
- Counterfeiters are pushed toward goods and channels without AI screening, raising the value of whatever marking scheme a platform controls — Amazon's own Transparency approach competes with detection tools for the same budget line.
- Rival marketplaces face pressure to buy or build equivalent AI authentication, seeding a vendor category where accuracy claims become a competitive selling point for platforms courting luxury brands.
Third-order effects
- If the pattern holds, authentication splits into two camps — detection (Entrupy-style AI inspection) versus provenance (item-level codes like Transparency, later extended through Amazon's Anti-Counterfeiting Exchange for cross-retailer tracking) — and platforms choose which side of that split controls trust.
- Third-party verification becomes default infrastructure for resale commerce, shifting power toward whichever startup accumulates the largest corpus of authenticated-item imagery.
The trend: Marketplace trust is being re-platformed around machine authentication, with AI detection vendors and product-provenance systems racing to become the standard gatekeeper between sellers and counterfeit supply.