Master of Science (MS)
Date of Award
St. Mary's University (San Antonio, Texas)
We describe a fully empirical study on demand forecasting, that is applicable to any real-world data. This is a hands-on case study on the power of social media in demand forecasting. We implement a Box-Jenkins methodology with exogenous variables, namely ARIMAX, to forecast Walmart's future sales. The social media components that we utilize are the number of likes and comments on the official Facebook page of Walmart. The details of the empirical investigation for fitting the best ARIMAX model are presented, and the results are discussed. With this thesis, we demonstrate that social media information should be considered in forecasting, as it is very valuable for any company when performing demand planning, and inventory management.
Akici, Aybike, "Using Social Media Data in Demand Forecasting : the Case of Walmart" (2018). Theses & Dissertations. 19.
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