Route optimization uses advanced algorithms and real-time data to plan the most efficient delivery routes by considering traffic, time windows, vehicle capacity, and constraints. Modern software automates this process, outperforming manual planning and basic navigation apps, delivering faster routing, lower costs, accurate ETAs, and major gains in productivity and customer satisfaction. Case studies show carriers cutting miles, labor, and rehandling while improving speed and service quality. Software features like automatic route generation, constraint handling, tracking, and analytics enable scalability, flexibility, and better decision-making. Challenges include data quality, integration, and user adoption, but the payoff includes fuel, labor, and maintenance savings, stronger sustainability performance, and a clear competitive advantage.

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