Keywords
predictive modeling, Walmart, weather
Disciplines
Statistics and Probability
Mentor
Dr. John Gabrosek
Abstract
Walmart operates thousands of stores in the U.S. and internationally with varying inventory and climates. During different weather conditions, demand for some products may increase or decrease, like umbrellas before a rainstorm. Since it is important for stores to not overstock or be out-of-stock of inventory, knowing how different weather conditions affect these weather-sensitive items would be vital for Walmart. This report details the process of data management, exploratory data analysis, modeling, and findings done on Walmart weather-sensitive sales.
ScholarWorks Citation
Rodriguez, Stella, "Weather-Sensitive Walmart Sales Modeling" (2022). Honors Projects. 876.
https://scholarworks.gvsu.edu/honorsprojects/876
