Intelligent Order Routing and Exception Handling in E-Commerce Logistics: Machine Learning Frameworks for Automated Fulfilment Optimisation

Authors

  • (Dr.) Ndubuisi Enem Professor of Electrical Engineering, University of Nigeria

Keywords:

intelligent order routing, exception handling, e-commerce logistics, machine learning frameworks, automated fulfilment optimisation

Abstract

In the retail sector, organizations grapple with tens of thousands, if not millions, of orders, which are increasingly submitted online and require shipping to be completed within a few days. As demand grows, many organizations will resort to automating processing workflows. This essay shines a light on how artificial intelligence, or AI, in particular, can support this automation in relation to such order fulfillment processing.

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Published

31-12-2024

How to Cite

[1]
“Intelligent Order Routing and Exception Handling in E-Commerce Logistics: Machine Learning Frameworks for Automated Fulfilment Optimisation”, Blockchain Tech. & Distributed Sys., vol. 4, no. 2, pp. 26–33, Dec. 2024, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/851