How AI is Transforming Logistics and Supply Chains

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How AI is Transforming Logistics and Supply Chains

Artificial intelligence or AI is the capability of a machine to display human like intelligence and to use it to solve problems like humans do – only much faster and with much more accuracy. Given proper environment, an AI machine can continue to churn the data for months continually without ever asking for breaks!

The logistics industry and supply chains are going through a lot of changes and sometimes complete overhaul due to application of Artificial intelligence. We can now perform predictive analysis of customer behavior months in advance and order our supplies accordingly or autonomous vehicles can run on smart roads for hour without ever getting tired like human drivers. AI has also helped in stopping pilferages and leakages at warehouses, one of the biggest causes for such losses and reduced costs.

Artificial Intelligence

Some important applications of Artificial Intelligence or Machine Learning in the logistics and supply chain management are listed below:

  1. Consumer Demand Prediction– AI systems use big data and data from various other historic and global sources to predict consumer behavior and make forecasts. The internal data re (such as sales history) are cross referenced with external and historic data to identify what most of the customers are planning to do or go or buy.The retailers, stores and supply centers can stock their supplies according to the anticipated demand and never lose a customer.It also helps to control over and under stocking and reducing wastages.

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  1. Improvement in Customer Experience–With help of proper AI, you can improve the overall experience of your customers. Clients get a faster and more accurate response making them feel valued and important. AI enabled IVRS and chatbots, like Alexa or Siri or Google Assistant, can give you a more personalized experience.They can answer your questions and also do work on your behalf it t can be done online like doing monthly grocery shopping.

 

  1. Automated Warehouse Management–Warehousing is one of the most important and biggest bottlenecks in overall logistics and supply chain. AI is used to automate and transform operations such as inventory taking,analysis, valuation, and finding the location of packages. Many warehouses now employ automated loaders that track the predefined path and load or unload the boxes on to shelves. This has reduced wastages and misplaced packages by 100% and saved costs substantially.

 

  1. Route and Convoy Optimizations–The transport by air, water, road or rail always require routing and route optimization. Which package to send in which type of container and by what route is almost a mystery. Transport coordination becomes easier with AI as it can accurately process all possible combinations and constraints to given you most economical and fastest route. Automated fleet management by processing updated traffic data and sending alerts to truckers about the same can become a handy tool.

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  1. Information Control and Tracking–predictive analysis, inventory control and fleet management all result in better coordination and document processing. The BOM, PO and many such documents can be processed automatically and electronically saving precious time. Documents for customs, and taxation purposes can be tracked, and their approvals sped up. The customers’ automated home systems can place automatic orders that can be automatically processed and even may be delivered automatically by drones.

 

  1. Autonomous Vehicles–Or driver less vehicles are no more a fancy but a reality. AI has helped the development of self-driving vehicles as part of fleets of transport trucks, vans, and buses. The benefits of driver less vehicles are numerous for logistics such as reduced fuel usage, more time on road, optimized routes, lesser accidents, elimination of human costs associated with long journey.

 

  1. Smart Roads–Smart roads are roads that are fitted with special sensors, LED lights, special paints and are connected to a smart grid. Such roads can generate real time traffic and vehicular data, congestions and pollution. They can also advise the autonomous vehicles to change lanes or control speeds to result in optimum efficiency.

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