How AI Verification Systems Are Catching Counterfeit Luxury Goods

The global luxury resale market reached $34.7 billion in 2024 and is expected to grow to $38 billion in 2025, expanding at a compound annual rate of 9.1 percent. This volume has created a critical problem: counterfeit goods flooding secondhand marketplaces. The counterfeit luxury goods industry causes billions in losses annually, and sophisticated fakes now replicate authentic designs so closely that human eyes alone cannot reliably distinguish them.

To protect both buyers and their own brand integrity, resale platforms and luxury houses themselves are deploying artificial intelligence systems that authenticate items by analyzing microscopic details like stitching patterns, leather grain, hardware specifications, and serial number formatting. These technologies process verification faster and more accurately than human experts, achieving accuracy rates above 99 percent. The shift represents a fundamental change in how the fashion and luxury industries approach the secondhand market: rather than fighting resale, major brands and platforms are now building authentication infrastructure that supports controlled entry into their ecosystems.

The Technology Behind AI Authentication

Authentication platforms use high-resolution cameras and machine learning to examine thousands of data points on a single item. For a Hermès bag, the AI checks the precise saddle stitch pattern, the font style on the heat stamp, and the specific way the leather grain looks. For Chanel pieces, it analyzes the CC logo placement, chain weight and texture, and serial number formatting that changes by year. For Burberry, authentication technology uses image recognition to determine authenticity based on minute details in weaving and texture with 98 percent accuracy.

The technology compares these details against massive databases containing millions of records of both authentic and counterfeit products. Entrupy trained its algorithms through four years of research with New York University. AI image analysis systems like these analyze “stitching patterns, hardware details, leather grain, and brand-specific markers” within minutes rather than hours. LVMH-owned brand Patou launched Authentique Verify, an AI-verification system developed in collaboration with technology partner Ordre, which takes an item’s unique “digital fingerprint”—such as a microscopic section of a product’s textiles and construction—making these patterns “allegedly impossible to replicate.”

This approach overcomes a fundamental limitation of human experts: fatigue and subjective bias. An AI system processes each item consistently, examining the same features with the same rigor whether it’s the first authentication of the day or the thousandth. The technology also identifies “patterns that are imperceptible to humans,” providing enhanced detection capabilities against increasingly sophisticated counterfeit manufacturing techniques.

Authentication Performance
Entrupy achieves 99.86% accuracy by processing high-resolution images against millions of records, with results delivered in minutes. The system backs its accuracy with a financial guarantee that protects buyers against financial losses if an item is misidentified.

Accuracy, Speed, and Financial Backing

Entrupy reports a 99.86 percent accuracy rate and backs this with a financial guarantee: if the system misidentifies an item, the company buys the item back from the customer following the completion of a dispute process, protecting against financial losses. Vestiaire Collective combines AI-driven tools with expert authentication teams to verify items.

The speed advantage is substantial. Where human experts might spend two to three hours authenticating a single piece, AI systems complete the process in 5 to 10 minutes. This 20-fold improvement in throughput allows platforms to handle significantly more volume without proportionally expanding their expert teams. Users of platforms like BagCheck can upload three photos of a handbag and receive verification results in under one minute. Entrupy typically delivers results within minutes for most items, though premium or particularly complex pieces may require up to 24 hours.

Authentication builds trust that resale platforms use as a competitive advantage: verified inventory strengthens buyer confidence and boosts sales, giving platforms and brands incentive to protect their reputation by ensuring only genuine products circulate.

Platform Adoption and Technology Integration

Vestiaire Collective employs authenticators alongside AI-driven tools to verify items across its marketplace. LegitApp takes a hybrid approach, having every item verified by two or more experts with simultaneous AI analysis, with the goal of catching errors that a single assessment method might miss.

Newer entrants like BagCheck offer AI-powered authentication apps exclusively for designer handbags, delivering verification results in under one minute after users upload three photos. TikTok Shop recognizes LegitApp Authentication within its Pre-Owned Products Policy, allowing sellers to authenticate designer items before they are sold to buyers. Major platforms including The RealReal and Vestiaire Collective leverage AI-driven tools and blockchain technology to enhance the accuracy and reliability of authenticating pre-owned luxury items.

Entrupy authenticates over 20 major luxury brands, including Chanel, Dior, Hermès, Louis Vuitton, Gucci, Prada, Balenciaga, Celine, Givenchy, and Saint Laurent, with expansion ongoing into contemporary luxury and streetwear brands. The platform’s continuous evolution reflects the fact that counterfeiters constantly develop new techniques, and authentication systems must adapt in real time to remain effective.

Secondhand sales are growing two to three times faster than firsthand luxury sales, making authentication technology essential to how major brands protect their reputation in resale channels.

Brand Strategy: From Counterfeiting Opposition to Resale Leadership

Luxury houses historically opposed secondhand markets, but that stance has shifted as resale grows too large to ignore. The market has transformed dramatically: branded resale experienced 300 percent sales growth between 2021 and 2025, and luxury reseller Vinted became France’s top retailer by volume in spring 2025 after growing net profit past 330 percent between 2023 and 2024. Circular sales comprised 27 percent of the overall luxury market, with secondhand sales projected to reach $317 billion by 2028.

Major brands now recognize that participating in authenticated resale protects rather than threatens their core business. The North Face operates a Renewed resale program, even refashioning damaged items. Gucci and Balenciaga have entered the resale space through partnerships and in-house initiatives to maintain control over their brand image and promote circularity.

Authentication technology serves brand interests by ensuring that only genuine products carry the label. A verified secondhand Chanel bag sold through a trusted platform supports the brand’s ecosystem rather than competing with it. The authentication system confirms that the product is what it claims to be, protecting the buyer and indirectly protecting the brand’s reputation. Patou’s Authentique Verify system even includes embedded chips during production to enable tracking and prevent return fraud schemes, where counterfeit items are returned instead of originals.

Market Growth and Future Outlook

The global luxury goods authentication market continues to expand alongside the broader resale market and the increasing sophistication of counterfeiters. As fakes become harder to distinguish, the technologies that catch them will become more essential to how the resale market functions.

Younger generations, especially Gen Z, are leading the demand surge for luxury resale, fueled by expanding digital platform access. Authentication systems make resale platforms competitive with traditional retail for consumers who prioritize trust.

Yet adoption remains uneven. Only 7 percent of industry executives plan to support circular business models, and fewer than one-third prioritize resale for 2026. Experts caution that “the growth in secondhand is an additive business for companies” rather than replacing new production, as resale often serves as a gateway to first-hand purchases. For authentication platforms, this hybrid adoption presents both opportunity and challenge: as the resale market grows, the need for reliable verification will only intensify.

Photo: MATOWU HAUDOSM · CC0 · via Wikimedia Commons