With online sales up 44% year-over-year, strongest ecommerce growth in two decades – according to data from DigitalCommerce360 – Qubit aims to help brands capitalize on huge growth thanks to its new CommerceAI.
Qubit, the AI-powered personalization company, announced its new CommerceAI model, promising to help retailers deliver advanced one-to-one personalization to unlock more value from all of its product catalogs.
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“Although e-commerce growth exceeded all expectations last year, with no signs of slowing down, many customers are still frustrated with the online shopping experience because they cannot easily find what they want. are looking for or recommended products are not individually targeted to the buyer, ”said Graham Cooke, CEO and Founder of Qubit. “Brands can address this by using modern technologies like deep learning to better understand customer behavior and create truly personalized shopping experiences; those that directly link the visitor to the products that interest them most.
By combining customer data – including intent – and design tools, the company claims that Qubit CommerceAI will increase customer conversion rates and lifetime value while reducing dropouts. Additionally, through its use of deep learning, the solution aims to help brands learn more about their own customers to determine which products will drive sales.
“The way CommerceAI improves the customer experience is to make the online journey really smooth within the first few seconds of a visitor arriving on the site,” said Tracey Ryan O’Connor, Director of Revenue at Qubit. “As buyers can bounce back quickly, this is imperative. With CommerceAI, the visitor is immediately able to find products that arouse their interest such as the Technology enables unparalleled understanding of both the entire product catalog and the individual visitor. This allows the brand to react in real time to present the most relevant products for each individual.
In addition, according to the company, deep learning “relies on more sophisticated algorithms than machine learning, enabling the processing and understanding of huge amounts of data in real time to feed the entire world. ‘end user experience and lead to superior e-commerce results’. And the data can be tapped into insights that ecommerce teams can use when making important business decisions about merchandise, inventory, campaigns, and more.
“Qubit’s differentiator is its more than ten years of retail expertise, coupled with its industry-specific real-time data schema and a new deep learning application through a unique partnership with Google Cloud – including AI integration of Google recommendations – and other ways the company enables the processing and interpretation of huge amounts of data in a fraction of a second, ”a O’Connor said.
“Qubit’s personalized approach moves away from a segmentation-first strategy while facilitating a broader understanding of the retailer’s entire product catalog, of which the vast majority – around 80% – have traditionally not found and accessible by browsing visitors. . As a result, this method engages and drives buyers more directly into buying by deeply understanding both the individual buyer and the product catalog simultaneously. “
Because the needs of each brand vary, Qubit modules can be built for the specification that will have the most impact through improving customer engagement and e-commerce performance, including one-to-one product recommendations. one, one-to-one product badge, personalized content, abandonment recovery, visitor pulse and replenishment.
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