As the logistics landscape evolves, the secondary mile—the crucial link between distribution centers and customers—presents a unique set of challenges. Complex routing decisions, unpredictable constraints, and the need for real-time adaptability strain traditional optimization techniques. This session explores how metaheuristic algorithms are revolutionizing vehicle routing in this domain, offering flexible, efficient, and near-optimal solutions at scale.

We’ll dive into how advanced algorithms like Genetic Algorithms, Ant Colony Optimization, and Simulated Annealing can efficiently navigate large, dynamic solution spaces where deterministic methods fall short. Through real-world case studies and practical implementation strategies, attendees will discover how these approaches improve delivery accuracy, reduce operational costs, and boost supply chain resilience.

Whether you're navigating fluctuating delivery windows or trying to optimize fuel consumption and resource allocation, this session will equip you with the tools and insights to apply metaheuristics to solve today’s toughest logistics problems.

Target Audience

This session is designed for Logistics Professionals, Operations Researchers, Supply Chain Architects, and AI/ML Engineers focused on optimization. It's also valuable for Product Managers and Tech Leads developing advanced routing systems or working in transportation and delivery-based platforms.