Improved Speed via Regional Fulfillment

TL;DR

This paper explores how regionalizing fulfillment networks in e-retail can significantly reduce delivery delays, supported by a theoretical model, algorithms, and simulations.

Contribution

It introduces an abstract model explaining the speed benefits of regional fulfillment and provides algorithms and simulations to optimize fulfillment assignments.

Findings

Regional fulfillment reduces delivery delays compared to global networks.

A greedy fulfillment strategy achieves equilibrium conditions for low delay.

Algorithms can compute near-optimal regional fulfillment assignments.

Abstract

In e-retail, order fulfillment speed has become one of the most important metrics affecting customer satisfaction. While common wisdom dictates that maintaining a large global fulfillment network maximizes efficiency via economies of scale, recent evidence has shown that breaking up the network into smaller regions can yield significant speed improvements. In this paper, we consider a simple abstract model of order fulfillment by which we explain this phenomenon. We characterize fulfillment assignments satisfying an equilibrium condition based on the greedy fulfillment strategy, and quantify how the resulting fulfillment delay can be decreased by regionalizing the network. Finally, we provide some algorithmic results for computing low delay assignments, and some simulations supporting our equilibrium framework.