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How AI and Cross-industry Intelligence Will Power The Digital Retail Experience in 2020

On this on-demand webinar, we discuss:

  • How AI and machine learning help convert more customers and boost revenue
  • How to achieve effective personalization without using any personally identifiable information (PII)
  • Why focusing on anonymized cross-industry customer behaviors can create more customer trust

Brands and retailers are rapidly adopting AI solutions. Within the next two years, it’s projected that the adoption of AI-driven solutions in retail will leap from 40 percent to more than 80 percent. And by 2022, retailers are expected to spend $7.3 billion on AI.

One key reason for the massive growth of AI in retail is the simultaneous rise retailers have seen in customers’ expectations for personalized experiences. Today, 76% of customers expect companies to understand their needs and expectations.

And, the only way retailers can really deliver this type of personalized experience that customers expect at scale is through the use of AI – making AI a central component of any retailers personalization strategy.

Nitin Verma, VP of Digital Solutions, Staples

Nitin has more than 15 years of experience in the e-commerce retail industry, working at the intersection of business and technology. Having started his career off as a scientist, Nitin has worked across a variety of different functions, such as supply chain, merchandising, and marketing. Currently, he leads the technology function at Staples for e-commerce and retail – and a key area of focus for him is how to infuse AI into solutions and make it available not only for external customers but also for internal users.

Shilpa Mandhan, Director of Customer Implementation,

With over 10 years of customer-facing experience, Shilpa has an impressive track record as a customer success leader building strong teams and scalable programs from the ground up. In her role as a customer success leader, she has led multi-faceted teams of UX designers and developers, shaped product design, helped build customer success roadmaps, and worked with customers to measure and grow adoption while minimizing churn. In her current role at, Shilpa’s focus is on helping the company develop a leading AI-enabled platform that can further improve the customer experience while increasing revenue for brands.


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