Customer Success Story
5x
Higher search ATC vs the industry benchmark
1.28x
Higher product recommendations ATC vs. the industry benchmark
70%
Operational cost savings on product tagging
10
YesPlz AI Tools Leveraged
WCONCEPT, a leading global fashion retailer serving over 44 countries with 400,000+ products, embraced YesPlz AI’s fashion discovery technology to overcome challenges in search accuracy, product tagging, and shopper engagement. Their AI-driven platform introduced innovative features like hybrid AI search, the Virtual Mannequin Filter, and five types of product recommendations, which collectively boosted shopper interaction, increased average cart size by 1.7x, and optimized localization for the Japanese market and beyond.
Costly Data Management at Scale: With over 400,000 products and thousands more added each week, WCONCEPT’s manual tagging process had become slow and costly. Missing or inconsistent tags hurt search accuracy and filtering—two key parts of product discovery for large fashion catalogs.
Search Not Optimized for Fashion: Managing hundreds of thousands of product synonyms, fashion jargon, and keyword variations quickly became a complex task. Search is one of the most-used tools on the site, so keeping it accurate and scalable was crucial.
Personalization Limitations: Curating recommendations by hand was no longer realistic at WCONCEPT’s scale. Shoppers needed help finding the right styles without endless scrolling. The team needed a smarter recommendation system that understood fashion context and individual preferences.
Speed and Scalability Demands: Serving millions of daily searches across regions required fast, reliable performance. WCONCEPT needed a search and discovery system built for global traffic—one that delivered consistent speed and accuracy without slowing down under heavy load.
5x higher search ATC vs. industry benchmark
1.5x higher search CTR vs. previous RichRelevance site search
1.28x higher “More by Brand” recommendations ATC vs. industry benchmark
70% operational cost savings on product tagging
10 YesPlz AI tools leveraged
Automated fashion data at global scale: YesPlz AI automatically tags new products every 15 minutes with style, occasion, and visual attributes. It also streamlines data workflows by translating product descriptions and supporting multiple languages, including English, Korean, and Japanese. The result: faster operations, lower costs, and consistent accuracy across WCONCEPT’s global catalog.
The most advanced site search built for fashion: YesPlz AI’s multi-modal search engine makes product discovery faster and more accurate by combining text, image, and product tagging data. It eliminates the need for heavy keyword management while helping shoppers quickly find exactly what they’re looking for. The result: a 5x higher search add-to-cart rate compared to the industry average.
Personalized recommendations powered by AI: Working closely with YesPlz AI, WCONCEPT designed personalized recommendation strategies tailored to its massive catalog and diverse shopper base. Seven distinct recommendation experiences roll out across the site—from landing pages to product listings and carts—guiding shoppers to more relevant items. The result: higher engagement, stronger conversion rates, and smarter upselling driven by AI-powered fashion understanding.
Global Speed and Scalability: Built on a high-performance AI infrastructure, YesPlz AI delivers speeds up at least to 5x faster than before integration. Its customized cloud-based architecture scales seamlessly across regions, keeping response times low and reliability high. For WCONCEPT, that means faster performance, greater stability, and a seamless shopping experience for millions of users worldwide.
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Sharing pain points openly helps retailers unlock AI’s full potential: We’ve learned that retailers often have many ideas to improve product discovery. The key is to share all pain points openly, without worrying if the technology can solve them immediately. For example, when W.Concept wanted shoppers to explore over 1,000 brands, we created brand recommendations that now have the highest click-through and conversion rates among product suggestions. Similarly, when W.Concept spent hours translating product descriptions for multiple regions, we built an AI translation pipeline that cut their product upload time and costs by 70%. All of this started with a retailer openly sharing their pain points..
