SLI Systems has launched SLI ESP, a cloud-based personalization software designed to learn and predict which products consumers are most likely to buy.
With SLI ESP, retailers can distinguish the interests of the user based on behavior in order to personalize search results and product recommendations, with the goal of increasing:
Items per purchaser; and
Revenue per purchaser, plus other KPIs.
These personalized results can be even more critical as consumers continue to focus on mobile browsing, where shoppers bounce quickly if they can’t find what they want to buy.
The SLI Buyer Engine, the company’s patented machine learning product discovery platform, powers the platform.
“Using SLI ESP, Footwear etc. was able to personalize and display products in real time, resulting in a 10% increase in revenue per visitor to personalized search and navigation pages,” said Mike Baranov, VP Online Operations at Footwear etc. “We also saw a 5% increase in conversion rate and average order value (AOV). The impact on sales has been meaningful, but it’s also clear that we’ve made it easier for shoppers on any device to find the products they’re looking for — that’s key for differentiation and loyalty in our segment.”