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Artificial Intelligence (AI) is now a ubiquitous force in our daily lives, but its impact goes far beyond our personal use. In the business world, particularly in supply chain management, AI is revolutionizing the way companies address logistical and operational challenges.

The Application of AI in Logistics

Logistics is an industry that has gone through a series of dramatic changes in recent years, driven by challenges such as demand volatility, the explosion of e-commerce, and crises in supply chains. In response to these challenges, AI adoption has become a priority for many companies.

The Expansion of AI Applications in the Supply Chain

AI is gradually entering several supply chain functions, going beyond data analysis and inventory management. One area where it is demonstrating significant value is in capacity management and transportation arrival time estimation.

Demand-Cargo Capacity Matching

A common challenge in the transportation industry is ensuring that load capacity is aligned with actual demand. AI can automate this process, using machine learning algorithms to match available cargo capacity with shipping requirements. This automated process can also use predictive analytics to optimize trips based on available loads, thereby reducing empty mileage, which is currently a significant challenge.

Arrival Time Estimation

Truck arrival time estimation is another crucial aspect of supply chain efficiency. AI can dynamically calculate arrival times using data such as GPS locations, historical patterns, driver activity information, and real-time weather data. This real-time forecasting is critical to ensure accurate planning of unloading and warehouse operations.

Addressing the Driver Shortage

The driver shortage has become a critical issue in both the United States and Europe. AI can play a key role in maximizing the productivity of existing staff. In addition to providing advanced driver-assistance systems for road safety, AI can help improve drivers’ working conditions by planning their road activities efficiently. In addition, by analyzing the factors that contribute to resignations, AI can help develop strategies to reduce turnover in the long run.

In conclusion, AI is revolutionizing supply chain management by improving efficiency, reducing costs, and addressing critical challenges such as matching demand with capacity, estimating arrival time, and driver shortages. Companies that embrace these innovative technologies will have a significant competitive advantage in the increasingly complex world of logistics.

Priano Marchelli SPA