To Buy or Not to Buy: Predicting Shopper Behavior in Grocery Retail
Data Science Festival via YouTube
Overview
Explore the intricacies of demand modeling in grocery retail through this insightful conference talk by David Hoyle from dunnhumby. Delve into the crucial task of predicting weekly product sales and its significance for retailers. Gain a comprehensive understanding of demand models, their applications in forecasting future sales, diagnosing past performance issues, and optimizing pricing and promotion strategies. Examine the complexities involved in constructing an effective demand model, including essential requirements, constraints, and challenges. Learn about innovative approaches to overcome these obstacles. While primarily offering a high-level overview, the talk also incorporates some mathematical elements to provide a well-rounded perspective on this critical aspect of retail analytics.
Syllabus
To buy or not to buy, that is the question: Predicting what shoppers will buy in grocery retail
Taught by
Data Science Festival