Culminating Project Title
Date of Award
Culminating Project Type
Applied Statistics: M.S.
Department of Mathematics and Statistics
College of Science and Engineering
Dr. Shiju Zhang
Dr. Leonard Onyiah
Dr. Richard Sundheim
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Marketing and finance departments want to know who their loyal/profitable customers are. Presidents, CEOs, VPs and corporate executives and shareholders want the best returns on their investments. They want to see their online grocery companies turning profits and maybe even making innovations. Who will buy what product? Which channel is more profitable- digital or non-digital? Which demographic group is most productive for sales? How much influence do rewards have on sales? How effective are email campaigns on sales? How can the data be mined to cross sell and thus exploit hidden relationships in the data, to gain competitive advantage in customer retention? The data is made up of continuous and nominal variables. I will analyze this transactional, demographic and geographic data with a goal to glean insights to help this grocery business to increase preorder penetration and density in orders so as to optimize truck routing and maximize sales.
Ahlijah, Martin Kofi Senanu, "Patterns of Shopping Behavior of Online Customers at a Frozen Food Grocery Consortium" (2015). Culminating Projects in Applied Statistics. 5.