With ANDREW LI, Assistant Professor of Operations Research
Customer personalization should in principle be straightforward -- collect data, build a predictive model, predict customer preferences, done. Unfortunately, retailers often find the reality to be messier:
Andrew will describe a new paradigm for organizing and learning from the exact kinds of data retailers collect, and discuss success cases from e-commerce and content personalization.
This talk is aimed at a non-technical, non-academic audience.
ENAiBLE: A CMU Retail & Services Collaborative — We bring the world-class expertise of CMU faculty into collaborative conversations with industry professionals with roles in management, R&D, and operations, from major retailers and service providers across the US. The result is a vibrant community that can clearly articulate today’s challenges and develop unique solutions that work across the technical, managerial, operational, and consumer dimensions to deliver a successful market offering.