Nordstrom Rack and Uniqlo Use This Prediction Platform

— February 08, 2017

Jetlore, an AI-powered prediction platform for the world's top retailers and beyond, is helping shoppers find the exact products they want, when they want them and how they want them, by giving large retailers the ability to deliver individually ranked and curated email, web and app content that goes beyond personalization to prediction. 

 
Jetlore's prediction platform powers top-tier omni-channel companies and global online retailers such as eBay, PayPal, Uniqlo and Nordstrom Rack to deliver AI-powered customer experiences to maximize online revenue. 

"Per a recent Gigya survey, 73 percent of consumers prefer to do business with brands that personalize shopping experiences," said Jetlore co-founder and CEO, Eldar Sadikov. "However, the majority of these personalization solutions can only approximate what shoppers want in the context of a specific transaction. Today's shoppers demand that retailers not just recognize them, but know them — know their size, preferred fit, colors, favorite brands — and be able to predict what they'll buy in the future."

Jetlore's prediction platform is powered by its patent pending "learning to rank" artificial intelligence-driven technology to analyze billions of customer-centric events and millions of products to interpret behavior at the semantic attribute level. With that deep knowledge of each consumer, Jetlore can rank and predict relevant content for each individual, ensuring that perfect shopper-to-product fit (and purchase) every time.

Already more than 40 customers are using Jetlore's prediction platform to increase shopper engagement and improve the buying experience. In the past six months, Jetlore has increased customer growth by 45 percent and employee growth by 60 percent. Jetlore revenue continues to grow by upwards of 30 percent quarter over quarter, necessitating a move from the company's current offices in Sunnyvale to a newly refurbished 6,700-square-foot office building in San Mateo, Calif.

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