5 Ways AI Is Changing Shipping and Logistics

In recent years, AI has been becoming increasingly involved with shipping and logistics. What’s more, the reverse supply chain has also recognized the need to optimize their processes. The reverse supply chain has a focus on returns, refurbishing, remanufacturing, surplus and leases, and businesses need to find a way to make these processes more efficient.

With that in mind, here are five of the ways that AI is affecting the world of shipping and logistics, from the supply chain to the reverse supply chain.

1. More Accurate Shipment Tracking

Companies are able to accurately predict how long shipping will take through the use of AI. It’s able to spot trends and risks in shipping lanes and ports, and using this data, it determines variations in shipping time. Through machine learning, the technology can also help analyze historical shipping patterns by taking into consideration the weather patterns and busy or slow shipping seasons.

Automating the processes could also help to predict problems before they happen. The company can then make adjustments to get their products to the customer on schedule. Furthermore, AI can assist with optimizing the shipping route by analyzing data, addressing potential problems before they happen.

Through the use of AI, customers can now employ a voice-based service in order to track the shipment of their order. If the AI recognizes any issues with the customer’s inquiry, it can redirect them to the customer assistance team.

2. Better Decision-Making With Big Data

AI allows companies to successfully predict future scenarios, highlighting and responding to patterns in the supply chain with the help of big data. With big data, companies are able to make predictions with greater accuracy, and in conjunction with AI, it can improve the transparency of the supply chain and optimize delivery routes.

It’s the AI’s job to analyze, enhance the quality of and identify issues with the data in order to facilitate management. Companies can use the data and predictive outcomes from AI in order to make the best decision for their company.

AI can also automate decisions with regards to manufacturing. It has the ability to predict when a key sensor or part of a machine needs replacement. AI has also seen use in emergency braking systems, preventing robots from damaging themselves.

AI can predict other components of businesses as well. For example, it can forecast when a product will sell out, point out and respond to patterns in the supply chain. These are just a few of the applications that AI has in order to help businesses make informed decisions. It saves them time and money, and it will certainly continue to develop and see adoption for a variety of applications.

3. More Robots in the Warehouse Environment

The supply chain is starting to make greater use of robotics in the warehouse environment. Using AI, robots are able to track and locate the inventory. The robots can then move the inventory through the warehouse in order to make the process more efficient for other workers.

These machines work through deep learning algorithms that can help them make autonomous decisions related to their duties within the warehouse. With the assistance of robots, other workers now have more time to do higher-value tasks because the time-consuming duties they usually had to perform are now automated.

4. Rise of Autonomous Delivery Vehicles

Companies are now looking into autonomous cars, drones and robots in order to help them get their products to the customer. By using this technology, businesses can eliminate the cost of having to pay for a driver, and, hopefully, they’ll be able to reduce the number of accidents that take place on the highways they utilize for shipping.

Obviously, this technology still has a long way to go in normalizing deliveries via autonomous vehicles. That said, there’s likely going to be a rise in the use of autonomous vehicles for optimizing shipping processes.

5. Decreased Costs and Higher Efficiency

Artificial intelligence, at a basic level, reduces the need for human intervention and accelerates various business processes. Of course, a higher degree of efficiency allows a company to be more productive, and therefore reduce the cost to perform a task. Today’s customers are also more demanding of cheaper, faster shipping, so businesses have to find ways to reduce costs to take less of a hit.

By implementing AI and automating various processes, some companies now have the ability to employ fewer people and, therefore, decrease costs. In addition to employing fewer people, companies have also been able to reduce their costs related to shipping and logistics through AI’s predictive capabilities. They use these capabilities to see how they can make their processes more efficient and effective to do everything in the most cost-effective way.

The Future of Shipping and Logistics Is AI

It’s evident that AI has been able to help businesses in a variety of ways, and it will only continue to develop as time goes on and companies become more knowledgeable about its capabilities.

The opportunities are endless, and it is certain that the shipping and logistics business will look completely different in the years to come.