Case Study: Zalora achieves a shorter path-to-purchase and 15% higher average order value with ViSenze Discovery Suite

Zalora Shortens Path-to-Purchase with Smart Product Discovery

Zalora, one of Asia’s largest online fashion retailers with 41 million monthly visits and a catalog of over 3,000 brands, faced a common ecommerce challenge: short attention spans and poor product discoverability that led customers to leave without buying. The team needed intuitive visual search and “shop the look” capabilities so shoppers could find exact or similar items from photos, social posts, screenshots or influencer content with minimal friction.

Zalora implemented ViSenze Discovery Suite — a visual AI and machine-learning platform that delivers image-based search, automated product tagging, personalized recommendations and shoppable user-generated content. The solution shortened the path-to-purchase and drove measurable impact: engagement rose by more than 10%, average order value increased 15%, and the improved discovery experience reduced churn, boosted click-through rates and overall revenue.

Zalora

Karthik Subramanian

Chief Technology Officer