Big Data application for E-commerce’s Logistics: A research assessment and conceptual model

Abstract

Electronic commerce is growing continuously as a consequence of the advantages that it provides for consumers and companies. As the volume growth, several operational logistics challenges appear, mainly related to providing proper service levels which meet consumer expectations. The exploration of consumer behavior data to perform predictive analysis stands out as an option for overcoming logistic difficulties. Thereof, this paper assesses the e-commerce distribution operation and propose a novel conceptual model embracing the anticipation of e-commerce’s demand based on the data collected by digital marketing, to enable predictive planning for the distribution of products.