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AI-driven Predictive Models and Consumer Insight for Trade Optimization Improvement
The proposed project is to develop AI strategies to provide precision marketing through consumer segmentation and recommender systems, as well as to promote events that shall meet various business goals for retailers and Unilever. Successful outcomes will feed into an On-Demand AI Engine aimed at improving consumer engagement and pricing strategy in the consumer packaged goods sector.
Faculty Supervisor:
Scott Sanner;Chi-Guhn Lee
Student:
Partner:
Unilever Canada Inc
Discipline:
Computer science
Sector:
Manufacturing; Wholesale trade
University:
University of Toronto
Program:
Accelerate
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