“Counterfeit sellers are moving too after the TMON and WeMakePrice crisis”: MarqVision sees more counterfeits on open marketplaces, social media and luxury platforms

• MarqVision analyzed counterfeit detections for the month after mid-July, when seller payment problems at WeMakePrice and then TMON became public
• Counterfeit sellers followed departing customers: detections on TMON and WeMakePrice down 39% and 36% from their first-half monthly averages
• Detections up on other channels: large open marketplaces other than TMON and WeMakePrice 34%, major Korean social media 32%, luxury platforms 26%
• Counterfeit sellers don't stop selling, they move, so monitoring and enforcement need to work at the seller level, not just product by product

AI company MarqVision (CEO Mark Lee) announced that its analysis of data from its AI-based counterfeit detection and enforcement solution shows counterfeit detections fell on WeMakePrice and TMON and rose on other online marketplaces.

MarqVision compared its average monthly counterfeit detections in the first half of this year with detections in the month starting in mid-July, when delayed seller payments at WeMakePrice and then TMON became public. Detections fell 36% on WeMakePrice and 39% on TMON. Over the same period, counterfeit detections on large Korean open marketplaces other than TMON and WeMakePrice rose 34%, and on major Korean social media and luxury platforms by about 32% and 26%, respectively.

MarqVision attributes the shift to counterfeit sellers changing where they sell as fewer shoppers used TMON and WeMakePrice, with consumers deleting their accounts and switching platforms.

MarqVision is using AI to transform how brands respond to the infringement caused by counterfeits and unauthorized sales. Its solution standardizes and automates the repetitive, complex detection, reporting and enforcement work that people once did by hand.

In particular, MarqVision offers Seller Intel, which analyzes counterfeit seller data in depth to reveal the links between sellers distributing fakes as organized groups. Rather than simply comparing seller data, it uses AI to calculate how similar the data is and groups sellers with similar attributes. That lets brands take action not only product by product but against the distribution networks of malicious and high-risk sellers.