Research conducted in 2023 showed that more than 80% of supply chain managers reported having  experienced disruptions in the previous year and anticipated that these events could worsen. Faced with such situations, predictive risk management becomes a key strategy to mitigate problems and optimize operations in an increasingly complicated environment. Some of its benefits are: 

• Forecasting and mitigating risks before they occur reduces the possibility of costly disruptions.
• By identifying future needs, efficiently allocate resources such as fleets, warehouses, personnel, among others.
• Obtain data and analytics that help managers make more informed decisions and plan ahead.
• Companies become resilient, i.e., able to adapt quickly to unexpected changes or disruptive events.

Some examples of useful technological tools for risk prediction are:

Real-time tracking or monitoring: the integration of sensors in vehicles and warehouses makes it possible to collect data in real time, to identify problems before they occur or escalate. Studies show that 59% of logistics service providers, 55% of carriers and 50% of exporters in the industry use technologies that enable this function.

Weather or meteorological risk forecasting: In Mexico, highways become 30% more dangerous when it rains, hence the importance of using advanced weather forecasting systems to identify risks that interrupt the transport of goods. With these predictions, companies can reroute vehicle routes, delay deliveries or take preventive measures such as reinforcing infrastructure.

Inventory control: with predictive models, companies can more accurately estimate future demand and adjust their inventory levels to avoid both shortages and overstocks. According to studies, 96% of small and medium-sized companies have no control over their inventory, but with the use of artificial intelligence, they could make better decisions and, in some cases, obtain a 98% effective projection of what will be sold and in what time frame.

Predictive risk management in transportation and logistics not only focuses on minimizing losses, but also on improving operational efficiency, increasing resilience to disruptive events and optimizing available resources. ED Forwarding is prepared to use advanced technology and real-time data to make proactive decisions that ensure long-term success.