Predictive management of the “long tail”

A first postdoc research project was developed as part of the supply chain of the future chair over a period of 18 months, from August 2018 to February 2021.

The general theme of this 1st research project is to find the optimal assortment of “long tail” products for a set of stores or warehouses in an integrated supply chain system. The research project is divided into two phases : (i) identification and classification of “long tail” products and (ii) determination of the optimal assortment policy for “long tail” products for stores and warehouses.

The project resulted in the following deliverables :

• State of the art in terms of predictive management.
• An AI solution for predicting demand, common to the four partners of the chair and effective on the “long tail”, with a challenge of optimizing stocks in anticipation of demand.
• Transmission of knowledge particularly in terms of the evolution of AI. 
   

This postdoc research project was supervised by Lucas Mencarekku, researcher at CERMICS (laboratory of the school of Ponts ParisTech).

For more information, reports to related publications.