How do airlines, hotels and stadiums determine their dynamic pricing strategy over time? How do retailers specify which assortment of products to offer to their customers among a universal set of items that could potentially be offered? These questions are at the core of firms’ operational decisions. Sajjad Najafi’s work mainly revolves around developing efficient and effective algorithms to solve such problems.
Sajjad’s work broadly lies at the intersection of operations management with economics, marketing and information systems, while his focus is to develop algorithms that are provably near-optimal and easily implementable in practice. Some of his works include real-time and dynamic pricing, online learning and optimization, assortment optimization, markdown optimization, inventory optimization in omni-channel retail, and supply chain management and coordination.
Sajjad Najafi received his Ph.D. from the University of Toronto and was a research fellow at Stephen M. Ross School of Business, University of Michigan prior to joining HEC Paris. He is now Assistant Professor of Informations Systems and Operations Management, as an expert in applying mathematical models in operational research and computer science to business analytics problems.