From 0 to 127 Results: How Hang Ten Korea Boosted Search and SEO with AI Transformation for eCommerce

See how Hang Ten leveraged AI solutions for eCommerce search to turn zero search results into 127, boost SEO, and deliver smarter recommendations.

by YesPlz.AISeptember 2025

Case Study Summary

Hang Ten, a global lifestyle and apparel brand founded in 1960, is especially popular across East Asia. As Hang Ten expanded its online presence in the market, the brand faced familiar eCommerce challenges. These included making the leap to AI transformation, enhancing product discovery, and improving SEO performance - all while operating with a lean engineering team.

  • The Challenge: To address these issues, Hang Ten sought AI solutions for eCommerce to enhance product discovery and improve SEO. However, limited engineering resources prevented the team from building AI-powered capabilities in-house.

  • The Solution: Partnering with YesPlz AI allowed Hang Ten to integrate fashion-specific AI tailored to its business needs. This was done without relying on in-house engineering resources. 

  • The Results: The transformation was immediate. Search queries that once showed no results now returned hundreds of relevant fashion items. Product discovery became more engaging with advanced, fashion-specific filters. Recommendations turned smarter and more personalized. SEO performance improved significantly. All without adding extra strain to Hang Ten’s internal team.

Thanks to YesPlz AI tools for eCommerce search, Hang Ten achieved a tailored AI transformation. The team also saved valuable time on SEO optimization. Today, their shoppers continue to enjoy faster product discovery, more personalized recommendations, and a better overall shopping experience.

Thanks to YesPlz AI solutions for eCommerce search, Hang Ten achieved a tailored AI transformation.Table of Contents:

Hang Ten's Digital Expansion Challenge: Growing Fast with Limited Resources

Hang Ten found itself in a position familiar to many growing fashion retailers. Its eCommerce business was expanding rapidly. However, the existing digital infrastructure couldn’t keep pace with. Built on Cafe24, Korea’s equivalent of Shopify, the platform handled basic eCommerce functions. But it lacked fashion-specific search, filters, and recommendations. 

Hang Ten faced four common yet critical challenges. Shoppers searched using natural language terms like 숏츠, which means shorts. They ended up facing frustrating zero-results pages. The filtering system was at best elementary. It offered just basic category selections with minimal refinement options. 

On product detail pages (PDPs), recommendations were static and often irrelevant. Valuable cross-selling opportunities were therefore missed. Apart from that, Hang Ten needed stronger SEO performance to stay competitive in the crowded Korean fashion market.

Without a robust AI solution, Hang Ten risked slowing its digital momentum and losing potential buyers to competitors. The management team faced a tough choice:

  • Invest heavily in building custom AI solutions for their eCommerce with scarce engineering resources.

  • Or find a partner who could deliver enterprise-level results without development overhead. 

The Strategic Decision: Partnering with YesPlz Fashion AI

Instead of investing in a costly, time-consuming in-house build, Hang Ten made a strategic decision to partner with YesPlz AI. This approach offered several compelling advantages:

  • Speed: YesPlz offered no-code and plug-and-play integration. Thus, Hang Ten avoided lengthy development cycles. The team could immediately implement robust AI solutions for eCommerce search.

Thus, Hang Ten avoided lengthy development cycles. The team could immediately implement robust AI solutions for eCommerce search.Expertise: The YesPlz team specializes in fashion-specific AI solutions. This eliminates the steep learning curve that Hang Ten would have faced in building internal capabilities. 

  • Scalability: YesPlz AI’s fashion-specific solutions are designed to evolve with the dynamic fashion market. Unlike generic eCommerce AI tools, YesPlz continuously updates algorithms based on fashion industry trends, seasonal changes, and emerging shopper behaviors. This means Hang Ten’s AI capabilities automatically improve as the fashion landscape evolves. 

  • SEO Gains: Automated tagging and keyword generation provide instant SEO values. This addresses one of Hang Ten's most pressing needs for improved search visibility.

By partnering instead of building in-house, Hang Ten gave its team the freedom to focus on growth. With YesPlz AI tools for eCommerce, its digital transformation gained real momentum.

Core AI Solutions for Hang Ten Fashion eCommerce 

YesPlz AI’s customized widgets seamlessly integrated into Hang Ten’s existing Cafe24 infrastructure. The team didn’t need to write a single line of code. Nor did they need to pull precious engineering resources away from other priorities. The transformation centered around three core areas: automated AI tagging, personalized product recommendations, and effortless SEO optimization. 

Automated AI Tagging for Fashion

YesPlz automates fashion tagging for Hang Ten. Instead of relying on manual input, the system uses computer vision to analyze every product image. Each is scanned, broken down into attributes, and enriched with descriptive keywords. From fabric type and pattern to model expression and image context, every detail is captured automatically. 

This process applies across Hang Ten’s entire catalog. It transforms plain images into rich, searchable datasets. These enriched fashion tags enhance product discovery. Shoppers can find the right items effectively. No matter whether they input words into the search bar or apply fashion-specific filters. This AI solution for eCommerce eliminates tedious manual data entry. More importantly, it delivers search experiences that feel as intuitive and fashion-savvy as a personal stylist.

Personalized Product Recommendations

Hang Ten PDPs now gain smarter recommendations powered by AI. When shoppers click on a PDP, they see multi-layered recommendations including:

  • You Might Also Like: The system analyzes product attributes and shopper behaviors to suggest similar styles. Shoppers discover items that match their tastes without having to spend extra time searching. 

  • Complete the Look: Recommendations go beyond a single category. The system pairs tops with bottoms, shoes with bags and accessories, creating ready-to-wear outfits. 

  • Frequently Bought Together: AI also learns from browsing history and buying patterns of similar shoppers. It then showcases products that people with similar preferences love.

  • Shopping Cart Recommendations: Even shopping carts are becoming more intelligent. They pop up add-on items at the right moments before checkout. 

These personalized recommendations together turn every browsing session into an opportunity for discovery. 

Effortless SEO Optimization

AI catalog manager, one of the YesPlz AI tools for eCommerce, automatically generates optimized meta titles and meta descriptions for the entire inventory.SEO has always been a top priority for Hang Ten. With AI, it has now become effortless. AI catalog manager, one of the YesPlz AI tools for eCommerce, automatically generates optimized meta titles and meta descriptions for the entire inventory. SEO-rich keywords and fashion tags improve Hang Ten product discoverability. Linking within a site also improves. Relevant recommendations on PDPs strengthen navigation and site depth.

SEO-rich keywords and fashion tags improve Hang Ten product discoverabilityTogether, these factors help create a stronger site structure that benefits both shoppers and search engines. Shoppers enjoy smoother navigation, faster product discovery, and more relevant results. Search engines reward the site with better crawlability, cleaner metadata, and richer keyword coverage. Over time, this leads to higher rankings and steady organic traffic growth.

The result? Hang Ten gains stronger visibility in the crowded Korean fashion market. More new shoppers can discover the brand through search engine results. All of this happens without adding extra work for the internal team.

Transformation Results: Before vs After Adopting AI Solutions for eCommerce

AI adoption didn’t just improve Hang Ten’s backend operations. It reshaped how shoppers interact with the site. The shift is most obvious in everyday functions that shoppers use, starting with product filters.

AI-Powered Filters: From Generic and Limited to Fashion-Specific and Diverse

The most visible change on Hang Ten’s website is the transformation of product filtering capabilities. 

Before adopting automated AI tagging, the filtering system was limited. Consider the image below. If shoppers select a category, let’s say, T-shirts, they see only one filtering option: sleeve length. Four basic choices: sleeveless, short-sleeve, long-sleeve, or all. Nothing more! This approach forced shoppers to browse through broad categories, instead of narrowing down to their exact needs.

Before adopting automated AI tagging, Hang Ten filtering system was limited.After AI tagging, filters become fashion-specific and far more diverse. Shoppers can refine their search using both essential filters (category, color, size, price) and advanced fashion-specific ones (neckline, sleeve length, fit, pattern, mood, occasion, etc.)

After AI tagging,  Hang Ten filters become far more diverse. Shoppers can refine their search using both essential filters and advanced fashion-specific filters.
This enhancement changed the Hang Ten shopping journey. Instead of endless scrolling, shoppers move through intuitive pathways that lead directly to what they want. The result is faster discovery, fewer frustrations, and a shopping experience that feels personalized and modern.

Relevant Search Results: The 127-Result Breakthrough

Perhaps no single metric better illustrates the impact of AI solutions for eCommerce than Hang Ten’s transformation of its search results. Take a search query 쇼츠 (which means shorts) as an example.

Before AI tagging, this search term returned zero results. Not because Hang Ten didn’t have shorts in stock. They did, actually, many. The problem was that none of them had the keyword 쇼츠 attached. In other words, these products had no relevant tags that matched the words shoppers typed into the search bar.
Before AI tagging, this search term returned zero results. The problem was that none of shorts in Hang Ten catalog had the keyword 쇼츠 attached.Without these tags, the search engine of the current platform, Cafe24, couldn’t connect the query to the right items. The result? A blank page. It frustrated shoppers, weakened their trust, and cost Hang Ten a valuable sales opportunity. 

After AI tagging, the same search query now returns 127 relevant results. This figure represents more than a technical upgrade. It demonstrates the transformational power of properly implemented AI tools for eCommerce search.

After AI tagging, the same search query now returns 127 relevant results.So, what happened behind the scenes? The YesPlz AI system enriches every item in the Hang Ten catalog with searchable attributes:

Each product now carries 10 - 15 optimized search keywords, automatically generated by the YesPlz tagging system.Even if a shopper’s keyword isn’t included in the original product data, automated fashion tags make sure the search engine can showcase relevant products. 

Enhanced Search Experience: Hybrid Discovery

Hang Ten search performances improved significantly with enriched search keywords and fashion tags. Each product now carries 10 - 15 optimized search keywords, automatically generated by the YesPlz tagging system.

Hang Ten search performance improved significantly with enriched search keywords and fashion tags.This multi-dimensional tagging opens up multiple discovery pathways. Shoppers no longer rely on a single search method. They can combine keyword input with intelligent filters for faster and more accurate product discovery. Consider a search query 아웃도어, which means outdoor below.

Shoppers first input 아웃도어 (which means outdoor) into the search bar. Instantly, AI-powered filters suggest relevant refinements such as gender, mood, or occasion.Shoppers first input 아웃도어 into the search bar. Instantly, AI-powered filters suggest relevant refinements such as gender, mood, or occasion. As shoppers select these filters, the search results will dynamically update in real-time. 

The search experience feels natural and fluid. Instead of scrolling through hundreds of broad results, shoppers can quickly narrow down to products that fit their needs. The outcome is faster discovery, higher satisfaction, and more completed purchases.

PDPs Significant Transformation

The transformation of PDPs surfaces the clear differences between general setups and fashion-specific AI solutions for eCommerce.

Before integrating AI recommendations, Hang Ten PDPs felt static and limited. Shoppers often saw a single suggested item, which was rarely relevant. This is because its old recommendation system relied on basic collaborative filtering that struggled with cold start problems.

Before integrating AI recommendations, Hang Ten PDPs felt static and limited. Shoppers often saw a single suggested item, which was rarely relevant.Without shoppers' history, its recommendations lacked accuracy. Cross-selling opportunities were minimal. And, the platform could not fine-tune logics for the Korean market. As a result, shoppers received uninspiring suggestions. Hang Ten, thus, missed valuable upsell opportunities. 

After AI recommendations, PDPs become dynamic, intelligent, and fashion-focused. Each page now includes multiple layers of recommendations, including:

  • You Might Also Like: Similar item suggestions.

    Similar item suggestions.

  • Frequently Bought Together: Behavior-based and fashion-specialized recommendations.

    Coordinated outfit suggestions and behavior-based, fashion-specialized recommendations.

  • Complete the Look: Coordinated outfit suggestions.

The result is a PDP that inspires discovery. Instead of static product pages, shoppers experience a personal styling assistant. They stay longer, explore more, and feel as though Hang Ten understands their unique fashion needs. Meanwhile, Hang Ten enjoys higher engagement, more items in the cart, and stronger conversion rates.

Shopping Cart Revolution

The shopping cart is often treated as the final step of the journey. It is a place to review items and pay. But with fashion-specific AI solutions for eCommerce, Hang Ten transformed it into a powerful revenue optimization tool.

Before adopting AI, the cart experience was static. It displayed only the items shoppers had added, with no context or inspiration. There were no upsell incentives, no cross-sell opportunities, and no personalized engagement. As a result, Hang Ten missed crucial chances to increase order value and strengthen shopper satisfaction.

After adopting AI, shopping carts evolve into dynamic, intelligent touchpoints. They now adapt to each shopper in real time.After adopting AI, the cart evolved into a dynamic, intelligent touchpoint. It now adapts to each shopper in real time.

  • Personalized upsell/ cross-sell: A dedicated section titled "이런 제품들은 어떠세요?" (which means “How about these products?") suggests relevant items. These personalized recommendations differ for every shopper. They are based on the items shoppers added to their shopping carts. A shopper adding denim may receive recommendations for casual tops. Another who adds sneakers to her shopping cart may see similar shoe styles or coordinating accessories.

  • Strategic promotions: The system pops up timely incentives. For example, free shipping is available on orders over $30. If a cart total is less than $30, a message appears encouraging shoppers to spend $30 or more to enjoy free shipping. This promotion helps them save on shipping costs while creating an opportunity for the retailer to upsell.

The result is that a cart doesn’t just process transactions. It actively engages, inspires, and persuades, turning checkout into one more opportunity for discovery and growth. 

Conclusion: The Strategic Advantage of AI Partnership

By partnering with YesPlz AI, Hang Ten achieved a full AI-powered transformation without straining its internal engineering resources. The AI adoption delivered immediate, measurable benefits:

  • Enhanced product discovery through enriched search, filters, and fashion-specific tags

  • Boosted engagement with personalized recommendations across PDPs and shopping carts 

  • SEO optimization at scale via automated meta tagging and smarter internal linking

This is more than an infrastructure upgrade. It is a strategic advantage. Hang Ten now offers shoppers an experience that feels intuitive, inspiring, and fashion-savvy. At the same time, it drives stronger visibility and measurable business growth in the highly competitive Korean fashion market.

Ready to see the same transformation for your brand? Book a demo with YesPlz AI and discover how effortless, fashion-focused AI solutions for eCommerce can elevate your shoppers' experience.

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Written by YesPlz.AI

We build the next gen visual search & recommendation for online fashion retailers