Generative AI for Retail Case Study: How One Retailer Achieved 34% Conversion Lift
When a mid-sized multi-channel fashion retailer—operating 85 physical stores alongside a significant e-commerce presence—faced declining conversion rates and escalating customer acquisition costs in early 2025, leadership recognized that incremental optimization wouldn't reverse the trajectory. Cart abandonment rate had climbed to 71%, well above the industry average. CLV was declining as repeat purchase frequency dropped. ROAS from digital marketing campaigns had compressed by 23% year-over-year as competition intensified and ad costs rose. The merchandising team struggled to personalize experiences across 47,000 active SKUs while managing seasonal inventory transitions. Traditional approaches to product discovery, pricing optimization, and customer engagement were no longer delivering the results that sustained growth demanded. The executive team made a strategic decision to deploy Generative AI for Retail across three critical operational areas: product personalization and disc...