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How GAP filled the gap in contemporary fashion
GAP is a leading American clothing and accessories retailer founded in 1969 and headquartered in San Francisco. Known for its casual, modern style, GAP offers clothing for men, women, and children, focusing on essentials like denim, t-shirts, and outerwear. Over the years, the brand has expanded globally and operates through a mix of company-owned stores, franchises, and a strong online presence.
Ensuring that data will be shared across website and more improvements
GAP wanted to use Luigi’s Box to not only enhance customers’ shopping experience, but also to improve the internal workflow.
Behavioral data sharing among domains
The challenge was to unify data across localized sites to deliver consistent results without replicating training or configurations for each domain. This is relevant for models like item detail alternatives or cross-sell recommenders.
Solution
Luigi’s Box solved this by implementing shared recommender ratings across client domains. With consistent product identity across domains, Luigi’s Box Analytics can apply behavioral data from one domain to another. This means once a model is trained in one country or language variant, it doesn’t need to be reconfigured elsewhere.
Search by product master code
Some users prefer to search for products using a master code, which is a unique identifier that stays the same across all sizes and country product variants.
Solution
Luigi’s Box addressed this by enabling product code recognition search functionality. Regardless of country or language version, users can now enter a code like 517636-00 or 615180-03 and instantly find the relevant product. This functionality is also very useful for internal employees.
Search refinement options
Users often search using vague or non-standard terms, making it difficult to show relevant results without manual input. GAP needed a way to continuously improve search accuracy for such cases.
Solution
Luigi’s Box addressed this with an extensive system of query redirect rules and synonyms. 737 query redirects were executed, achieving a nearly 30% conversion rate in just 30 days. Alongside 83 synonym mappings, these tools give clients fine-grained control over how the system interprets search queries, significantly improving search relevance and business outcomes.
Improving conversions from similar products on product detail pages
GAP wanted to improve the conversion rates from suggested similar products on product detail pages. The problem with these recommendations was that they weren’t relevant enough, and the company missed out on sales.
Solution
The solution was to implement Luigi’s Box Recommender on product detail pages. It works with product attributes, such as names, sizes, and colors to ensure that product recommendations will always be relevant to the context of a product detail page. This drives engagement and improves the potential for upselling, leading to higher conversion rates.
Luigi’s Box tailored the shopping experience and brought results
After GAP implemented Luigi’s Box, they started noticing the results, from happier customers to improved conversion rates.
The results for each of the six countries showed positive improvements in search and recommender performance. Higher conversion rates and click-through rates brought a new wave of success for the already successful online retailer.
What GAP likes the most about Luigi’s Box
- By monitoring the search history, GAP is able to improve search results for searches with no results and also follow current trends and hot topics specific for each country that helps understand customers needs and make their journey easier.
- Efficient customization options that allow the company to adjust the shopping experience for the best results.
