Regionalize and Scale: Amazon’s Fulfillment Network Design for Faster and Cheaper Delivery

INFORMS Journal on Applied Analytics 2026

View at publisher
Authors: Amitabh Sinha, Jeremy S. Agte, Russell John Allgor, Cristiana L. Lara, Ashish Agiwal, Semih Atakan, Lourdes Campo, Tolga Çezik, Daniel Chongli Chen, Qi Chen, Jesse Fischer, Eitan Gor
+19 more Nader Kabbani, Ryan Kennedy, Kaushik Krishnan, Yuan Li, Shahbaaz Mubeen Mamadapur, Tanmay Mathur, Nick McCabe, David Mildebrath, Eric Powell, Andrea Qualizza, Denton Schroeder, Nityansh Seth, Xiaoyan Si, Kaushik Sinha, Darren Stegner, Jun Xiao, Ling Zhang, Shanshan Zhang, Jikai Zou
DOI: 10.1287/inte.2025.0295
Cited by: 0
References: 13

Abstract

By 2021, Amazon’s US fulfillment network faced significant challenges in performance metrics because of the unprecedented network growth. Amazon solved this through a network transformation (dubbed regionalization) based on partitioning the network into eight largely self-sufficient regions. This paper describes the research, implementation, and impact of this transformation.

Fields of Study & Subjects

Logistics and Transportation Systems Advanced Manufacturing and Logistics Optimization Supply Chain and Inventory Management

Publication details

Journal / source
INFORMS Journal on Applied Analytics
Volume
56
Issue
1
Pages
23–41
Publication date
1 January 2026
Language
EN