Artificial intelligence (AI) allows systems to make intelligent decisions and perform tasks in an automated manner, without human intervention.

In the logistics sector, AI has allowed the sector to evolve. Indeed, if previously logistics operations adapted to variations in demand, today it is now possible to predict consumer behavior and thus adjust the necessary resources accordingly. This is a big development because consumer habits have also changed over time. They are becoming more and more demanding. Their expectations have changed. They want to receive their products quickly, worldwide and at the best price. It was therefore essential for businesses to adapt to consumers in order to meet their needs. For this reason, AI is therefore becoming very useful in order to optimize the logistics process.

A 5% increase in the margin of companies was also noted for those who invested in Artificial Intelligence applied to transport and logistics.

In addition, the recruitment of Artificial Intelligence specialists has increased by 74% since 2016.

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Artificial Intelligence for better process optimization

The manual logistics process can quickly become time-consuming and lead to sources of error. In addition, it is a significant financial burden. The use of AI can therefore make it possible to avoid these sources of error and save time. By correlating all relevant information from suppliers and customers, the overall performance of the company is improved (detection of financial anomalies, rapid updating of customer information, etc.)

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Artificial Intelligence for better transport optimization

As mentioned above, customers are becoming more and more demanding, they want accurate information about their purchases, the status and the progress of their delivery. In addition, they want flexible delivery times, at home or at a relay point.

This is how AI comes into play for the last mile (last segment of the distribution chain — the first physical contact between the product and the customer). AI will make it possible to develop algorithms to know satellite plans, traffic information, information concerning each city etc. in order to best optimize transport.

In addition to knowing all this information, AI will be able to predict various elements such as road traffic, the possibility of breakdowns or accidents in order to remedy the problem as quickly as possible.

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Artificial Intelligence for better stock forecasting

Thanks to AI, businesses will be able to anticipate consumers' purchasing intentions based on seasons, events, days, etc. This will reduce shortages or shortages of more goods. As a result, better inventory forecasting will improve customer satisfaction by optimizing delivery and return times.

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‍Everysens x TotalEnergies

Everysens, a leader in supply chain visibility solutions, announced the signing of a contract with TotalEnergies, a multi-energy group, to deploy the first rail Transport Management System (TMS) software powered by artificial intelligence.

With the Everysens solution, TotalEnergies wanted” Digitize a complex process that allows us to plan our shipments of products by rail. In this way, we simplify the collaboration between numerous stakeholders, internally with our production site, our depots and externally with, in particular, our multiple partner railway companies and of course with our customers. We therefore intend to plan, execute and monitor our logistics operations more effectively, in order to better optimize them. Finally, better satisfy our customers while optimizing our logistics costs”. Youri Trinh, Director of Supply Sales and Optimization at TotalEnergies in Germany.

Learn more about the Everysens x TotalEnergies collaboration

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