Artificial Intelligence (AI) enables systems to make intelligent decisions and perform tasks in automated ways, without human intervention.
In the logistics sector, AI has enabled the sector to evolve. Whereas in the past, logistics operations were adapted to variations in demand, today it is possible to predict consumer behaviour and adjust the necessary resources accordingly. This is a great evolution 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 companies to adapt to consumers in order to meet their needs. For this, AI is becoming very useful to optimise the logistic process.
A 5% increase in company margins was also observed for those who invested in Artificial Intelligence applied to transport and logistics.
In addition, recruitment of Artificial Intelligence specialists has increased by 74% since 2016.
Artificial Intelligence for better process optimisation
The manual logistics process can quickly become time-consuming and error-prone. In addition, it is a significant financial burden. The use of AI can therefore avoid these sources of error and save time. By correlating all relevant supplier and customer information, the overall performance of the company is improved (detection of financial anomalies, rapid updating of customer information etc.).
Artificial Intelligence for better transport optimisation
As mentioned above, customers are becoming more demanding, wanting accurate information about their purchases, the status and progress of their delivery. In addition, they want flexible delivery times, either at home or at a delivery 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 enable the development of algorithms that will make it possible to know satellite maps, traffic information, information about each city, etc. in order to optimise transport.
In addition to knowing all this information, the 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.
Artificial Intelligence for better stock forecasting
Thanks to AI, companies will be able to anticipate consumers' purchasing intentions according to seasons, events, days, etc. This will help reduce shortages or overstock. As a result, better stock forecasting will improve customer satisfaction by optimising delivery and return times.
Everysens x TotalEnergies
Everysens, the leader in supply chain visibility solutions, has announced the signing of a contract with TotalEnergies, a multi-energy group, to deploy the first rail-based Transport Management System (TMS) software powered by artificial intelligence.
With the Everysens solution, TotalEnergies wanted to " Digitise a complex process for planning our product shipments by rail. This simplifies the collaboration between many stakeholders, internally with our production site, our depots and externally with our multiple partner rail companies and of course with our customers. This will enable us to plan, execute and monitor our logistics operations more efficiently and to optimise them. Ultimately, we want to better satisfy our customers while optimising our logistics costs. Youri Trinh, Supply Sales and Optimization Manager of TotalEnergies in Germany.
Learn more about the Everysens x TotalEnergies collaboration