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Four Ways AI is Changing Logistics

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Artificial Intelligence (AI) has progressed by leaps and bounds over the past decade. Currently, AI is at the heart of virtually every industry globally, and the logistics sector will not be left behind. If you are wondering how this is happening, keep reading to discover different ways AI is changing the world of transport and logistics.

Warehouse automation

Robotics is becoming popular in the warehouse environment – an important part of the logistics business. Using deep learning algorithms, these robots are being used to automate repetitive tasks in warehouses. In smart houses, for instance, most of the work is being done through automation. These include tasks like tracking and locating the inventory, loading, and boxing customer demands. Although these robots operate alongside humans, they help enhance speed, efficiency, accuracy and allow workers to focus on higher-value tasks, thus helping cut costs and increase productivity significantly.

Optimizing delivery routes according to traffic conditions

Road transport forms an important part of the logistics industry. Unfortunately, this transport mode can be a huge stumbling block due to congestion, traffic, and poor weather conditions. But AI is changing all that.

With smart roads becoming pretty common worldwide, businesses are now able to deliver products faster and with ease. For instance, route planning solutions, such as Circuit, enable delivery teams to prevent delays by identifying congested roads, bridges, and high traffic areas. That way, it is increasingly becoming easy for logistics companies to plan routes intelligently, thus improving delivery efficiency and reducing costs significantly.

Besides route planning and optimization, AI is making shipment tracking a breeze. Logistics firms can now predict shipping time more accurately by analyzing trends, historical shipping patterns, and risks in shipping lanes and ports.

Rise of autonomous delivery vehicles

Self-driving cars are already gaining traction on public roads. In the logistics industry, these autonomous vehicles, drones, and robots are primarily being used in product delivery. While this artificial intelligence innovation still has a long way to go, it will help reduce the number of road accidents that happen during delivery when it comes into full effect. In addition, it will help reduce costs by eliminating the need to hire a delivery driver.

Enhanced decision-making with big data

Modern customers yearn for quality products and faster shipping, so businesses need to look for ways to deliver just that without reducing the bottom line. That’s exactly what AI does at a basic level. Using big data and AI, logistic firms can identify quality issues and make predictions with greater accuracy. For example, AI can help you forecast when a product will run out of stock and point out patterns in the supply chain. These predictive outcomes play a critical role in decision making and facilitating management.

Wrapping up

With growth-oriented enterprises working tirelessly to revolutionize human tasks automation to support logistics processes, there’s no doubt that the future is bright for the transport industry. That means we can expect to see more advanced tech innovations happening in the logistics industry in the foreseeable future. But we can’t tell that for sure. Let’s wait and see what the future holds for the logistics industry.

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