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10min chapter
Leveraging Predictive Modeling For Retail Growth (ft. Hannibal Baldwin)
Consumer Code
Balancing Data and Experience in Retail Trade Areas
This chapter explores the use of machine learning to define trade areas in retail, focusing on methods like radius rings and drive times. It emphasizes the need to balance predictive accuracy with explainability while integrating insights from experienced professionals with data-driven techniques for effective real estate decisions.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode