How AI Tackles Logistics Industry Challenges?
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How AI Tackles Logistics Industry Challenges?

By CIOReview | Monday, December 21, 2020

FREMONT, CA: AI improves logistics processes, reduces costs, and automates routine tasks to improve speed and accuracy in numerous back-office applications

Artificial intelligence has impacted the logistics industry and supply chain. The primary purpose of implementing AI in the logistics industry is to automate time-consuming actions and reduce costs.

Here are five AI use cases in logistics that will help address the challenges they face:

Smart Roads

Smart roads include highways with solar panels and LED lights. Solar panels help produce electricity and prevent the road from being slippery in winters, while LED lights are used to alert drivers about the road conditions. A fiber optic sensor is another application that can sense traffic volumes and patterns and warn drivers on the road conditions ahead. It can also detect when vehicles leave the road or are involved in accidents, alerting the emergency services and authorities. Smart roads make for faster deliveries and safer road conditions.

Back Office

AI combined with Robotic Process Automation (RPA) can help workers increase their quality of work as everyday repetitive tasks can be automated, which will lower cost and improve the accuracy and timeline of data for the logistics employees.

Automated Warehouses

Warehousing operations like data collection, inventory processes, and such become more accessible with the implementation of AI technology and also helps increase revenues. Warehouse automation uses AI to predict the demand for particular products. And according to this data, orders can be changed, and the in-demand items can be delivered to the local warehouse, lowering transportation costs.

Autonomous Vehicles

Autonomous vehicles in the logistics industry can save time and money and decrease accident rates. These vehicles, such as warehouse ground vehicles and drones, autonomous business processes are a significant trend across the supply chain. And some companies are initiating the autonomous supply chain, which will automate many tasks that are usually handled by planners and managers.

Demand Prediction

The need to predict the number of goods and supplies required is an essential factor for businesses. Insufficient inventory would lead to lost sales and revenue and also lost customers. AI can provide different algorithms that can predict trends. It can track and measure inputs and variables correctly and in a short time, improving the accuracy of predictions. Therefore, lowering inventory and simplifying warehouse management.

AI can also personalize, suggest products, and customize them in such a way that it is tailored to the customers' buying habits and preferences, thus, improving customer experience.