One of the world’s largest luxury retailers provided a poor e-commerce experience for its users which directly impacted sales and customer loyalty. Their website was limited only to reflecting the company’s top selling products which made it difficult to find products aligned to customer’s interests. Their customer experience team was constantly inundated with negative user comments because it didn’t provide a personalized shopping experience.
All of this resulted in sluggish online sales, poor customer loyalty, and a long history of low customer satisfaction ratings.
Lack of personalization
Negative user feedback
Low online sales
After a thorough understanding of the customer’s challenges, Infocepts developed a real-time AI and ML based recommendations app that provided personalized recommendation based upon different activities like clicks, impressions, and historical purchases. The solution uses AI and deep learning techniques to provide real-time product recommendations based upon interests while the user is browsing through the website.
- The solution enhanced buying probability and increased the sales. By estimates, the Real-Time Product Recommendation engine generates ~$2M in additional revenue for the client each and every year.
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About the Client
Our client is the world’s leading luxury retailer. Being a pioneer in its industry, it operates 30+ stores in 18 countries. Its unique portfolio of exceptional products includes 700+ of the most-desired global brands
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