Brand Protection

AI screens product listings and physical goods to block and remove counterfeits.

Business impact

• Counterfeit products identified, seized, and disposed of — Amazon reported more than 15 million globally in 2024.
• Product units verified as genuine — Amazon Transparency verified over 2.5 billion units.
• Brands enrolled in authenticity protection — Amazon reported 88,000 brands enrolled in Amazon Transparency.

Data requirements

• Product listings (text) — Used to detect suspicious or infringing offers.
• Product images (image) — Used for visual comparison and recognition.
• Microscopic product details (image) — Used to authenticate luxury goods and shoes.
• Brand enrollment records (tabular) — Used to connect protection workflows to specific brands and products.

AI methods and techniques

• Counterfeit detection — Flags suspected fake listings and goods for action.
• Image recognition — Supports product and listing comparison in brand protection workflows.
• Machine learning — Analyzes microscopic product details for authentication.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Amazon, Entrupy.