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    This Is How AI Gets Trucks On Track

    ManufacturingNews

    This Is How AI Gets Trucks On Track

    In response to inefficiencies in the trucking industry, some agencies and researchers are developing AI-powered routing tools and simulations to optimize routes and better inform truckers

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    A recent study by Flock Freight & Drive Research, titled “Wasted Space, Wasted Dollars: The Economic Impact of Inefficient Freight,” reveals the substantial financial losses caused by underutilized truckload space and the inefficiencies of less-than-truckload shipping. The research, which surveyed 1,000 U.S. transportation decision-makers across various industries, offers a comprehensive understanding of the challenges and strategies used to improve efficiency.

    These inefficiencies are not just operational but they’re structural. A comprehensive study by Caltrans, California’s transportation agency, identified key infrastructure and planning shortcomings that exacerbate the problem. These include disconnects between designated and actual truck routes, lack of routing access to growing industrial zones, and poor last-mile delivery planning. Compounding these issues, many urban environments such as New York City suffer from severe congestion and inadequate freight infrastructure, creating daily routing headaches for truck drivers.

    AI Takes The Wheel

    But the American trucking industry is undergoing a technological alteration, and at the heart of this shift is AI. As supply chains grow more complex and customer expectations rise, trucking companies are turning to it to make their routes smarter, faster, and more efficient. From reducing fuel consumption to preventing breakdowns before they happen, AI is helping reshape how freight moves across the country. Whether it's through real-time traffic rerouting, predictive maintenance, or fully autonomous driving, it is streamlining operations and unlocking new levels of productivity for one of the most critical pillars of the U.S. economy.

    In response to inefficiencies in the trucking industry, some agencies and researchers are developing AI-powered routing tools and simulations to optimize routes and better inform truckers. Collaborative routing, where logistics providers pool resources to increase vehicle utilization and reduce emissions, has also been proposed. However, these models are still largely experimental and face challenges in coordination and data sharing.

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