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Leveraging Predictive Modeling For Retail Growth (ft. Hannibal Baldwin)

Consumer Code

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Optimizing Site Selection for Growth

This chapter explores the contrasting site selection strategies of emerging brands and established companies, emphasizing the role of machine learning and spatial AI in data analysis. It discusses the importance of understanding customer demographics and site variables for effective expansion, particularly focusing on predictive modeling to enhance operational efficiency. By integrating various data sources, retailers can make informed decisions that significantly improve their chances of success in new locations.

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