Harnessing Heterogeneous Data for Conditional Optimization via Optimal Transport
A distributionally robust framework based on optimal transport (OT) for harnessing such heterogeneous data in conditional optimization and demonstrating the value of the framework through a conditional assortment problem using demand and product-feature data from multiple stores is demonstrated.