Boost e-Commerce sales with AI recommendation engine
The Challenge
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.
The Solution
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 Outcome
- 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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