AI for Logistics and Trucking Transportation – Part I: Challenges

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AI is powering a large number of applications in the real world today. From language translators to fraud detection and from facial recognition to virtual assistants, AI is transforming several industries. Soon, AI will also be applied to core logistics and trucking transportation operations.

There are a number of reasons to believe why the logistics industry will adopt AI solutions. First of all, AI is a maturing technology, and it is quite accessible and affordable today. Moreover, logistics is a network-based industry and AI can help overcome several challenges that the industry currently faces. Let’s consider this in a little more detail.

Daily operations in the logistics industry currently depend on low-tech solutions such as physical PoDs and correspondence over emails and calls. According to surveys, more than two-thirds of companies in the logistics industry have not been effective in digital transformation.

Digital maturity is growing at a rapid pace and this is leading to more and more unstructured data. As data complexity increases, the need for data analysis and digitizing the supply chain becomes very important.

To keep up with the device growth and digital maturity curve, supply chain companies must look to leverage the power of AI and data analytics. This includes using sophisticated learning algorithms and techniques to improve data quality, as also to analyze data. This, in turn, can help companies determine gaps and improve operational efficiency. Over time, AI and data analytics can also help reduce operating costs.

However, another challenge in digitizing the supply chain is that most logistics companies are non-digital natives. While companies are struggling to keep up with new advancements in tech, there is also an increased pressure on supply chain leaders to digitize. This increased pressure comes from rising costs, as well as from customer expectations.

Given these challenges, the time is perfect for the logistics industry to embrace AI and data analysis. In the next couple of articles, we’ll take a closer look at the opportunities and implementation of AI in the logistics industry.

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