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Research Paper | Information Technology | India | Volume 11 Issue 3, March 2022

AI-Powered Route Optimization System in Supply Chain Operations

Rudrendu Kumar Paul ^[4] | Bidyut Sarkar ^[5]

Abstract: Addressing the considerable challenge of last-mile delivery optimization in e-commerce and supply chain enterprises, this paper presents a data-centric strategy intended to boost the efficacy of both B2C (business-to-consumer) and B2B (business-to-business) deliveries. The proposed approach utilizes demand pattern analysis, data integration, and customizable constraints to generate delivery routes that minimize costs and enhance customer satisfaction. The method's versatility allows for adjustments based on market characteristics and specific timeframes, offering a solution adaptable to varying supply chain scenarios. The proposed approach enables businesses to tailor the optimization process to their unique requirements, enhancing operational efficiency, maximizing cost savings, and improving customer service. The novel method delineated in this paper signifies a remarkable advancement in efficient last-mile delivery management, offering a wealth of key insights that hold relevance for both academic researchers and industry practitioners.

Keywords: Artificial Intelligence, Data Science, Last-mile Delivery Optimization, Supply Chain Management, Route planning, Demand pattern analysis, e-commerce, logistics

Edition: Volume 11 Issue 3, March 2022,

Pages: 1551 - 1554