How did Looxloo achieve a 23-point jump in search accuracy? Explore their AI transformation and the secrets behind their eCommerce success.
by YesPlz.AISeptember 2025
The rise of AI platforms has changed how people discover products online. SEO is no longer the only game in town. Shoppers are turning to AI-powered engines that provide direct answers. For eCommerce managers, this means rethinking how products are found, described, and delivered in an AI-first world. This is a story of Looxloo, a Korean fashion retailer that decided to ride the wave of AI. Recognizing the importance of AEO (Answer Engine Optimization), Looxloo shifted its strategy and embraced a complete AI transformation.
Table of Contents:
The Challenge: Looxloo knew the future was AI-first. Search methods were shifting. To prepare for AEO, they needed an AI transformation. Yet, the team lacked engineering resources to make it happen.
The Solution: Instead of reinventing the wheel, Looxloo adopted ready-to-deploy, fashion-specialized AI solutions. The transformation touched every part of the shopping journey. Image tagging became automated. Search blended text inputs with fashion-specific filters. Personalization adapted to each shopper in real-time.
Measurable Impact After AI Transformation: The results were immediate and measurable. Search accuracy climbed from 72% to 95%. The entire system was deployed in a few weeks, proving that speed and efficiency could go hand in hand. Most importantly, the transformation required zero additional engineering resources. And, the benefits didn’t stop there. The comprehensive AI-powered discovery tools unlocked secondary advantages. SEO and AEO became effortless. Hybrid search experiences kept shoppers engaged. Personalized recommendations drove upsells and cross-sells, raising the average order value.
Looxloo operates in the competitive premium children’s and baby fashion eCommerce space. In this market, quality and curation are paramount. The company has built its reputation on carefully selecting and presenting high-quality fashion options for discerning parents who want the best for their children.
Its portfolio includes 50 carefully curated brands for kids and babies. These brands represent a wide range of styles and price points within the premium segment. At the center of the portfolio is Blue Dog, Looxloo’s flagship brand.
By combining private-label development and strategic brand partnerships, Looxloo has secured a strong position in the premium kids’ fashion market. This foundation prepared the company for its next step: a full AI transformation.
Looxloo’s Challenge: Preparing for the AI-First FutureThe shift toward an AI-first approach promised to reshape Looxloo's eCommerce discovery. But turning vision into reality came with obstacles. Limited engineering bandwidth and the lack of specialized fashion AI expertise slowed momentum.
Resource constraints created the most immediate challenges. Looxloo operated with limited in-house engineering resources. The company lacked specialists who understood both AI and the nuances of fashion. Without this expertise, implementing effective AI solutions became slow and difficult. Meanwhile, competitors were accelerating their AI transformation, raising the risk that Looxloo would fall even further behind.
Looxloo’s search accuracy needed improvement. The lack of fashion-specific filters left shoppers sifting through too many irrelevant results. On top of this, SEO and content optimization gaps limited Looxloo’s visibility in organic search and AI-powered discovery channels.
The shopping experience also lacked personalization. Product detail pages didn’t offer tailored recommendations. This shortcoming left upselling and cross-selling opportunities untapped. The shopping cart experience was similarly limited, missing chances to increase order value. Plus, there was no fallback system when the user's shopping data was unavailable. For new visitors, this meant no guidance at all - a critical gap at the very first stage of customer engagement.
At the core of Looxloo’s AI transformation is YesPlz AI image tagging technology - the foundation that powers every advanced feature. Leveraging computer vision, it “reads” product images and automatically generates rich fashion tags. Unlike generic image recognition systems, YesPlz AI has been specifically trained on fashion. It captures the subtle style details that matter most to online fashion shoppers.
The results speak for themselves. In the image above, YesPlz AI image tagging has built a detailed data layer that fuels Looxloo's entire AI-powered discovery. Key capabilities include:
Rich keyword variations: A single product can be discovered through multiple search terms, such as "graphic t-shirt," "crew neck t-shirt," "kids long sleeve t-shirt", "printed t-shirt for kids."
Fashion-specific tags: Going beyond general attributes, the system captures context. For instance, “Vibe: Casual”, “Occasion: Home or Brunch.”
Detailed descriptors: Even visual elements like “poodle” or "dog print” are recognized. Shoppers looking for this particular pattern can easily find relevant products.
The fashion-specific tags and rich keywords quietly power Looxloo’s discovery engine by:
Enabling effortless SEO, AEO, GEO
Supporting more accurate search results
Creating a comprehensive eCommerce discovery ecosystem
Providing the foundation for richer fashion-specific filters
Informing the personalized recommendation algorithms
The YesPlz AI system automatically generates SEO-optimized meta titles and meta descriptions. It thus improves search rankings for Looxloo product pages. It also increases the chances of appearing in AI-generated responses that are becoming increasingly important for GEO and AEO strategies. This dual benefit means Looxloo can attract potential shoppers through both traditional search engines and emerging AI-powered discovery channels without additional manual effort.
Smart linking capabilities create meaningful connections between related products throughout the site. These connections help shoppers discover additional items they might be interested in. At the same time, strategic linking creates a more interconnected and crawlable website structure that search engines favor. As a result, this improves the site’s overall SEO performance.
The AI transformation of Looxloo’s search functionality represents one of the most visible and impactful improvements for shoppers. Take a “pink dress” search query.
Previously, searching for “pink dress” returned two completely irrelevant items: earrings and baby rompers. This 0% relevance rate created frustrated shoppers and lost sales opportunities.
After adopting AI, the same search now returns highly relevant items. Results include accurate pink dresses, blouses, and coordinated sets with perfect color matching across various pink tones and shades. All results belong to the appropriate clothing category, creating rich product grids with diverse, relevant options.
The improvement from 72% to 95% search accuracy represents a 23-point increase. It helps reduce frustration and increase the likelihood of successful product discovery and purchase.
The AI transformation created a comprehensive search ecosystem for Looxloo. It fundamentally changed how their shoppers discover products.
Enriched search keywords powered by image tagging dramatically expand the ways shoppers find products. Each item is now discoverable through multiple relevant search terms. Especially, these search terms reflect how shoppers naturally describe their search intent.
The synonyms library has continuously received comprehensive updates to current fashion terminology and shopper language patterns. As a direct result, Looxloo shoppers can use their own preferred terms and still find relevant products. For example, it doesn’t matter if a shopper searches for “sweater” or “jumper,” “pants” or “trousers.” The relevant results in the inventory are always displayed regardless of search terms.
Auto-complete suggestions predict shopper intent as they type into the search bar. This feature helps them formulate effective search terms while reducing the manual effort required to find products. It draws from rich tagging data to suggest the most relevant and popular search terms as shoppers begin typing their queries.
Recent search functionality provides personalized convenience for returning shoppers. It allows them to quickly revisit previous searches and continue their shopping journey where they left off. This feature recognizes that fashion shopping often involves multiple sessions as shoppers compare options and make decisions.
Recommended Search TermsRecommended search terms leverage AI power to suggest relevant alternatives based on browsing behaviors and popular trends. It helps shoppers discover products they might not have initially considered searching for. These intelligent suggestions guide them toward successful product discovery even when their initial search intent is unclear.
Popular search highlights Looxloo trending items and queries. It gives shoppers insight into what others are discovering. It also creates social proof that can influence purchase decisions. This feature helps shoppers stay current with fashion trends while building confidence in their shopping choices.
Richer fashion filters transform the browsing experience with sophisticated filtering capabilities. Curated brand filters help shoppers focus on their preferred labels. Meanwhile, visual pattern filters enable them to find products with specific aesthetic elements such as stripes, florals, or geometric designs.
Multi-Layer Personalized RecommendationsThe recommendation system transformation addressed critical limitations in the previous platform through a sophisticated three-layer approach. Before the AI transformation, Looxloo offered limited, general recommendations. These suggestions failed to account for individual shopper preferences, shopping behavior, or the specific context of their browsing session.
After adopting AI, each product detail page provides three distinct layers of recommendations. Each is designed to address different shopper scenarios and maximize relevance, including:
This recommendation layer highlights trending and best-selling products from specific brands that shoppers are already viewing or have purchased from. By showcasing what other shoppers love from the same brand, it builds confidence in brand quality while introducing shoppers to popular items they might have missed.
AI analyzes shopper behavior and product attributes to suggest items that complement their current interests and shopping patterns. It identifies products with similar styles, colors, or other characteristics that align with the shopper’s demonstrated preferences.
This feature identifies products that other shoppers commonly purchase in combination. It creates natural outfit suggestions and complementary item pairings. Most importantly, this includes a comprehensive fallback system that activates when the user's shopping data is unavailable. It effectively solves the cold start problem that previously left new shoppers without personalized guidance during their crucial first shopping experience.
When shoppers click ‘See More’, they will be directed to the full page of further product curations to increase upsell opportunities and discovery for shoppers.
This multi-layer approach ensures that every shopper receives relevant product suggestions regardless of their history with the site. Returning shoppers benefit from highly personalized recommendations based on their purchase and browsing history. New visitors receive intelligent suggestions based on current browsing behavior and popular items that appeal to shoppers with similar interests.
The implementation followed a carefully structured 2-3-week timeline that balanced speed with thoroughness.
Week 1 - AI LearningThe first week focused on AI learning. During this time, AI analyzed Looxloo’s entire product catalog. It was continuously learning to recognize and categorize fashion items with high accuracy levels that would power all subsequent features. This learning phase was critical for ensuring that AI understood the specific characteristics and nuances of Looxloo’s product range.
The second week concentrated on API and Widget integration. It involved the technical integration of AI capabilities into Looxloo’s existing eCommerce platform. This phase ensured seamless operation with current systems and workflows while maintaining the stability and performance that customers expect. The integration was designed to enhance existing functionality rather than disrupt established processes.
The third week dedicated attention to testing, optimization, and launch activities. This final phase involved comprehensive testing of all AI-powered features and performance optimization to ensure:
Fast load times and smooth operation
The successful deployment of the complete AI transformation across the platform
Shoppers experience immediate benefits without any technical issues or performance degradation.
Looxloo demonstrates that with the right AI partner, even resource-constrained retailers can achieve enterprise-level AI capabilities quickly and effectively. This partnership approach allowed Looxloo to overcome the dual challenges of limited engineering resources and a lack of specialized fashion AI expertise that might otherwise have prevented or significantly delayed their transformation.
This achievement proves that AI transformation doesn’t require massive internal development teams or lengthy implementation cycles when retailers partner with specialized AI providers who understand the unique requirements of fashion retail.
Want to be the next fashion eCommerce with 23% improvement in search accuracy? Contact YesPlz AI to begin your journey from traditional eCommerce to AI-powered fashion discovery.
Written by YesPlz.AI
We build the next gen visual search & recommendation for online fashion retailers
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