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Capacitated assortment and price optimization under the multinomial logit model. (English) Zbl 1258.91068

Summary: We consider an assortment and price optimization problem where a retailer chooses an assortment of competing products and determines their prices to maximize the total expected profit subject to a capacity constraint. Customers’ purchase behavior follows the multinomial logit choice model with general utility functions. This paper simplifies it to a problem of finding a unique fixed point of a single-dimensional function and visualizes the assortment optimization process. An efficient algorithm to find the optimal assortment and prices is provided.

MSC:

91B24 Microeconomic theory (price theory and economic markets)
90C30 Nonlinear programming
Full Text: DOI

References:

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