Qubit leverages deep learning for its new CommerceAI solution
E-commerce caught fire in 2020, which calls for increasingly advanced AI to keep up with sales and remain competitive.
Qubit, the personalization engine for ecommerce, has launched Qubit CommerceAI, a new offering which supports 1:1 personalization in-the-moment. The tool uses deep learning rather than standard machine learning — a technique which employs non-linear layering of algorithms to discover pattern recognition across large data sets.
It brings together customer data and product data, sifting through possibly thousands of SKUs, to make real-time 1:1 product recommendations, and to recommend next best products that are shown. It also recommends personalized content, and triggers automated responses for abandonment recovery.
Why we care. Ecommerce exploded in 2020, with an estimated leap of 44% YoY in online spending. Of course, that’s good news for merchants with robust ecommerce offerings, but it also means the space is more highly competitive than ever. Advanced AI offers the promise of keeping up with the personal needs of thousands of customers. Qubit is looking to push the envelope by deploying the “neural networks” of deep learning, instantly to recognize and respond to customer behavior.
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About the author
Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.