AI-Driven Route Optimization for Logistics
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AI-Driven Route Optimization for Logistics
Authors:
Santosh Vinnakota
Software Engineer Advisor
Tennessee, USA
Abstract—The integration of Artificial Intelligence (AI) in logistics has transformed route optimization by leveraging real-time data, predictive analytics, and automation. This paper explores the role of data engineering in enabling AI-driven optimization, detailing data pipeline architecture, AI models for route prediction, and their impact on efficiency, cost reduction, and sustainability. The discussion includes real-world implementations, challenges, and future directions for AI-driven logistics systems.
Keywords—AI, Route Optimization, Logistics, Data Engineering, Dynamic Scheduling, Machine Learning, Predictive Analytics