WCONCEPT, a leading global fashion retailer serving over 44 countries with 400,000+ products, knew their massive product catalog across was both their greatest asset and their biggest operational challenge. Manage over 1,000 brand synonyms. Manually tag thousands of new weekly arrivals. And handle over 1 million daily search queries. The team knew they needed a powerful AI solution.

By adopting YesPlz AI’s multi-modal search, automated tagging, Virtual Mannequin Filter, and personalized recommendation engine, the team transformed how shoppers explored their catalog. 

The results came fast and stayed strong. Search add-to-cart rates jumped 5x above industry benchmarks. Catalog management tasks such as tagging and product description translation costs dropped 70%. The platform now handles massive traffic spikes without breaking a sweat. WCONCEPT didn't just solve their scaling problems. They created a discovery experience that keeps shoppers engaged across all the markets they serve.

Challenges

• Manual tagging was bleeding money and slowing everything down: With 400,000 products and thousands added weekly, the team couldn't keep up with tagging. Every delay meant fresh inventory sat invisible to shoppers. Despite the effort and expense, tags remained basic and incomplete due to time and cost constraints. The team was stuck in an endless cycle of manual work. It slowed down product launches and bled money on resources that could never scale fast enough.

• Search failed when keywords managment was out of contorl: Despite search being one of their top drivers of product discovery, WCONCEPT's search failed shoppers constantly. Shoppers searched for a brand or style and got generic or irrelevant results. Behind the scenes, the team wrestled with over 1,000 brand synonyms, diverse fashion jargon, and constantly updating keyword variations. 

• Shoppers needed a more visual, interactive way to find what they wanted: Misconfigured filtering left shoppers frustrated and hurt engagement. Shoppers couldn't easily explore styles or visualize what they were looking for. The browsing experience lacked the intuitive, engaging interaction that modern fashion shoppers expect. The team knew their shoppers wanted a more natural, visual way to discover products. But their existing tools couldn't deliver it.

• Manual curation couldn't keep pace with a massive, diverse catalog: Personalizing recommendations for diverse shopper tastes across 400,000 products was impossible to do manually. The team needed strategies that could understand individual preferences at scale. It’s not just about showing random products or falling back on the most popular lists. Without fashion-trained AI, their recommendations felt generic, uninspired, and disconnected from shoppers' actual wants.

• 1 million daily queries demanded speed that their old system couldn't deliver: Handling over 1 million daily search queries and huge traffic spikes pushed WCONCEPT's old infrastructure to the breaking point. During peak moments, when shoppers were ready to buy, the system struggled to keep up with processing speed and responsiveness. Slow search meant abandoned sessions and lost sales. For a global retailer serving 44 countries, every second of delay was costing them revenue.

Key Results

• 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

YesPlz AI's innovation instantly clicked with us. We started with their Mannequin Filter and quickly expanded to search, recommendations, and more. They're not just a vendor, they're a partner who truly listens and innovates alongside us.

Eunyoung Lee

GM, W.Concept Global

Solutions: 

• Automated tagging and localization that scales across 44 countries: YesPlz AI automatically tags new products every 15 minutes with style, occasion, and visual attributes the moment they're uploaded. No waiting. No manual work. It also streamlines data workflows by translating product descriptions and supporting multiple languages, including English, Korean, and Japanese. WCONCEPT cut tagging costs by 70% while fresh inventory reaches shoppers faster across every market.

• The most advanced site search built for fashion: YesPlz AI's search engine combines product tagging, image embeddings, and fashion contextual understanding. It recognizes visual features and fashion trends alongside text data. Those 1,000+ brand synonyms and complex keywords that once overwhelmed the team? It eliminates now 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.

• A more visual way to shop with the Virtual Mannequin Filter: Shoppers select attributes by clicking on a graphical mannequin instead of scrolling through text-based filters. This visual, interactive tool makes discovery intuitive and fun. Result: 1.7x increase in average cart size with zero manual tagging effort.

• 7 personalized recommendations tailored to W CONCEPT's unique needs: WCONCEPT and YesPlz AI co-planned seven types of fashion recommendation experiences deployed across the shopper journey. From landing pages to product listings, detailed views, and carts. The fashion-trained AI delivers relevant suggestions based on shopper behavior and preferences. Shoppers discover items that match their style, not just what's popular.

• Enterprise infrastructure built to handle millions of queries without breaking: The platform processes over 1 million daily queries with sub-second response times, improving at least to 5x faster than before integration. Parallel processing, distributed cloud infrastructure, and multi-region deployments maintain 99.99% uptime under any load. When shoppers show up ready to buy, the system keeps up.

AI Site Search: Before and After (e.g., "Black pumps pearl")

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After

Fashion Filtering: Before and After AI Tagging

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After

Similar Look Curation: Before and After Fashion AI

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After

Complete the Look Curation: Before and After Fashion AI

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After

Automate Translation Workflow: Before and After Fashion AI

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After

Lesson Learned

• 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.

Behind the Curtain

• Using AI in Fashion for Online Stores: A W.Concept Case Study

• eCommerce Discovery AI Transformation: WCONCEPT’s AI-Driven Launch in Japan

• How Single Integration Simplified W Concept’s eCommerce Discovery

• Transformative Fashion AI: W Concept x YesPlz