How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Minimizing Shelf Outs at Home Depot
This chapter explores a data science project aimed at predicting and minimizing shelf outs at Home Depot stores. It discusses the challenges of stock availability in physical stores, the development of machine learning models using features like pack size to shelf capacity ratio, the collaboration across different departments for data gathering, and the technical challenges faced in convincing business partners of the value of machine learning technology.
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