A data analytic-based logistics modelling framework for E-commerce enterprise

Abhishek Verma

doi:10.1080/17517575.2022.2028195

A data analytic-based logistics modelling framework for E-commerce enterprise

2022-01-27

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AI

DOI：10.1080/17517575.2022.2028195

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Abstract

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Data-driven approaches have noteworthy significance in managing and improving logistics in E-commerce enterprises. This study focuses on the development of an integrated framework to analyse the Brazilian E-Commerce enterprise public dataset. From the analysis, it is found that sellers of Ibitinga city of SP state had the most count of late deliveries where 42 sellers are under-performing in terms of estimated delivery time. Locations of customers and sellers were spotted on a map to get a geographical representation. The proposed framework may help E-Commerce enterprise owners and retail merchants to make better decisions related to sales and E-Commerce enterprise logistics.

Keywords:

E-commerce

data analytics

machine learning

supply chain

facility location

forecasting

A data analytic-based logistics modelling framework for E-commerce enterprise

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