A fashion retail company headquartered in London, UK, managed a fast-growing e-commerce platform that served millions of users daily. Despite having rich product data, the site displayed static product carousels that failed to adapt to user behavior. To address personalization and conversion challenges, the company engaged our AI engineering team to build a plug-and-play AIaaS recommendation engine capable of real-time personalization using browsing history and purchase patterns.
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Increase in conversion rate
ms average response latency
Growth in average session time
Industry: Retail & E-commerce
Services: AI-as-a-Service (AIaaS), Recommendation Systems, Automation
Region: United Kingdom
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