ViSenze
21 Case Studies
Case Study: VVIC achieves 97% image quality control accuracy with ViSenze's automated tagging
A ViSenze Case Study
VVIC Uses Automated Product Tagging to Moderate Images on Their Marketplace
VVIC is a leading B2B platform in China that connects thousands of fashion wholesalers, suppliers and retailers. The company struggled with low-quality product images—low resolution, watermarks and missing product details—that harmed user experience; their manual moderation process was costly and inefficient.
VVIC implemented ViSenze’s automated product-tagging solution for low-quality image detection after evaluating several computer-vision providers. The solution delivered high precision and recall, enabling 97% accuracy in image quality control and improving platform user experience and engagement.
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