Driving value with intelligent efficiency
Over the next decade, as advances in technology come into play, transportation networks will become smarter, safer, and more efficient for pedestrians, commuters, and drivers.
How AI is improving the shipping industry
Having a tool for accurate demand forecasting and capacity planning allows companies to be more proactive. By knowing what to expect, they can decrease the number of total vehicles needed for transport and direct them to the locations where the demand is expected, which leads to significantly lower operational costs.
While they may sound like a futuristic concept, they are already embedded inside the supply chain. Robots are locating, tracking, and moving inventory inside warehouses, they are conveying and sorting oversized packages at ground distribution hubs.
Big data is allowing logistics companies to forecast highly accurate outlooks and optimize future performance better than every before. The insights of Big Data, especially when generated by AI, can improve many facets of the supply chain like route optimization and supply chain trajectory.
Computer vision-based AI is allowing us to see the supply chain in new ways. Visual inspection technologies powered by AI can identify damage, classifying the damage type, and determining the appropriate corrective action.
Road haulage is set for big chances with highway autopilot, lane-assist and assisted braking features predicted to lead the way to true autonomy. Better driving systems already allow for multiple trucks to drive in formation to lower fuel consumption.
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