Personalizing Product Recommendations at Walmart – with Dr. Charles Martin

Nicholas DeNittis

Nick DeNittis writes and edits AI industry trends and use-cases for Emerj's editorial and client content. Nick holds an MS in Management from Troy University and has earned several professional analytics certificates, including from the Wharton School.

Personalizing Product Recommendations 
at Walmart@2x-min

The en masse shift to online shopping that transpired during and post-COVID appears as if it's destined to last. According to the Brookings Institute, one third of US adults have used delivery apps to order from a restaurant or store in the last year. 

In light of this growth, AI-enabled product recommendation engines naturally appeal to online/hybrid retailers. Product recommendation engines can increase cart value, enhance customer engagement, and generate repeat sales.

As the largest retailer in the world by revenue, Walmart has a massive footprint in the online retail space and, by necessity, a significant interest in product recommendation systems. 

Emerj was fortunate to speak with someone who has worked with Walmart on a large-scale, related machine learning project. Dr. Charles Martin is a preeminent figure in the world of AI and machine learning. Charles is the founder of Calculation Consulting, an AI consultancy and software development firm based in Silicon Valley. ...

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