Inventory positioning in modern retail

Modern retail has been significantly affected by the surge in online platforms and product options. Customers have comfortably settled into an omni-channel model, in which they buy different products through different channels. While customers expect a seamless process in getting the products they are looking for, they are also more influenced by the selection offered when unsure of what to buy. For retailers, the transition to omnichannel means more complex problems of inventory positioning and demand fulfillment, but also an opportunity to influence their customers through the assortments they offer, especially online. In this thesis, we study two main challenges related to inventory positioning in omni-channel and provide new models and algorithms. First, we study the problem of choice modeling and assortment optimization. Choice models aim to capture customer preferences across products and have been extensively studied.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Operations Research Center

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Georgescu, Andreea

Advisor dc:contributor.advisor

• Retsef Levi and Vivek Farias.

• Operations Research Center.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/130727

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/130727