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Unleashing the Value of Customer Intent with Intelligent Interventions

Toronto Machine Learning Series (TMLS) via YouTube

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Explore a real-world case study on utilizing AI/ML to understand customer intent, reduce session abandonment, and enhance customer experience in online retail. Learn how to identify key drivers behind shoppers' decisions to complete or abandon sessions, going beyond mere prediction. Discover strategies for retailers to leverage decision-data and implement appropriate interventions. This 51-minute conference talk, presented by Rogayeh Tabrizi, Ph.D., CEO and Co-Founder at Theory+Practice, at the Toronto Machine Learning Series (TMLS), offers valuable insights for improving online retail performance through intelligent customer interventions.

Syllabus

Unleashing the Value of Customer Intent with Intelligent Interventions

Taught by

Toronto Machine Learning Series (TMLS)

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