AI Recommendation Engine Boosts E-Commerce Sales
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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The AI-powered recommendation engine provided by Infocepts has transformed our approach to personalized marketing. The app analyzes customer data in real-time, allowing us to deliver highly targeted and relevant product recommendations to each individual shopper. This has significantly enhanced the buying probability of our customers, resulting in a substantial increase in our revenue.
Retail Sales Head
Leading Luxury Retailer
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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