Qubit Uses Deep Learning and AI to Help Retailers Perfect Personalization Efforts

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Qubit has launched Qubit CommerceAI, a tool that leverages AI, deep learning and machine learning to deliver advanced 1:1 personalization techniques. The Qubit CommerceAI models are designed to understand and react instantly to customer context in order to unlock more value from retailers’ entire product catalog. 

Qubit CommerceAI combines customer data, including intent, and design tools with the goal of driving conversion rates and customer lifetime value while reducing abandonment. Deep learning empowers brands to learn more about their customers and determine the products from their catalogs that will drive actual sales performance. This data can be leveraged for insights that ecommerce teams can use to make decisions about merchandise, inventory, campaigns, offers and more.

Retailers can choose the Qubit modules that will have the most impact based on their specific needs. Modules include:

  • Personalized Content: Helps retailers more easily set up, update and manage personalized content campaigns as well as rapidly deploy campaigns and promotions with personalized content at any point in the customer journey; and
  • Visitor Pulses: Aims to create more relevance by asking customers their preferences, their interests and/or their intent, to provide the most personalized shopping experience possible.


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