Business Data Analytics: Warranties, Recommendations, and Fleet Management

Using mathematical models we draw verifiable conclusions from a rental-fleet dataset. These conclusions help rental-fleet operators increase revenue, decrease cost, or improve other aspects of their business. We not only identify what models to build, but also implement them using rental-fleet data. Some example questions that we help rental-fleet operations answer are: 1) what warranties should they offer to their customers or purchase for their equipment? 2) what actions should the rental-fleet operator take to improve its performance in self-identified areas? 3) what actions, as suggested by others in the field, should the operator take to improve operations?

Intern: 
Eliza Tripathy
Faculty Supervisor: 
Stan Dimitrov
Project Year: 
2019
Province: 
Ontario
Partner: 
Discipline: 
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