Risk assessment with AI: The new era of insurance

Artificial intelligence is revolutionizing the way logistics companies manage their risks and insurance, optimizing processes and improving decision-making.

Digital transformation in logistics risk management

Digital transformation has radically changed the way risks are managed in logistics. Today, global flows of goods are more complex and interconnected than ever before. This complexity brings with it not only new opportunities, but also new risks, such as cyber-attacks, supply chain disruptions and extreme weather events.

Digitization has enabled greater accuracy in tracking shipments and a better ability to anticipate and mitigate these risks. However, it has also made companies more vulnerable to digital threats, underscoring the need for more advanced insurance solutions tailored to this new environment.

Benefits of AI in insurance risk assessment

Artificial intelligence (AI) offers a number of significant advantages in risk assessment for cargo insurance. Through the use of advanced algorithms and big data analytics, AI can identify patterns and trends that would be impossible to detect manually.

Among the most notable advantages are the accuracy of premium pricing, the ability to adjust premiums in real time, and improved claims management. In addition, AI enables unprecedented customization of insurance policies, adapting to the specific needs of each customer and each type of load.

How AI predicts and prevents losses in the supply chain

AI not only helps assess risks, but also plays a crucial role in predicting and preventing losses in the supply chain. Through real-time and historical data analysis, AI-based systems can anticipate supply chain disruptions and suggest preventive measures.

For example, if a storm is detected on a shipping route, AI can recommend rerouting cargo along an alternative route. It can also identify critical points in the supply chain where problems are most likely to occur, allowing companies to take proactive measures to mitigate these risks.

Innovative models: from traditional insurance to smart insurance

Innovation is not just about technology, but about rethinking the way we understand risk.
Key trends include:

• Dynamic pricing by AI: premiums that automatically adjust according to logistical variables, routes or claims history.

• Parametric insurance: coverages that trigger automatic indemnities in response to measurable events (such as delays or temperature variations).

• Integrated digital platforms: certificate issuance, claims tracking and exposure analysis in a single, agile and transparent environment.

Real impact on the logistics chain

For international trade players, these innovations mean operational efficiency, reduced administrative time and greater control.
An exporter can monitor its shipments, analyze its exposures by destination and receive automatic alerts if risk deviations are detected, all from a single platform.

The result: safer, more predictable and sustainable logistics.

The future of smart insurance in logistics

The future of insurance in logistics is undoubtedly linked to artificial intelligence and other emerging technologies. The trend points toward more dynamic, personalized insurance models supported by real-time data.

At JAH Insurance Brokers Corp, we are at the forefront of this transformation, offering innovative solutions that not only protect cargo, but also optimize operational efficiency and reduce administrative costs. As we continue to expand internationally, we remain committed to leading the way to a safer and more efficient future for international trade.

Sources consulted

• International Data Spaces Association. Data Logistics and AI in Insurance Risk Management. internationaldataspaces.org.

• Loadsure. The impact of data, AI and automation on risk management. loadsure.net.

• McKinsey & Company. The future of AI in the insurance industry. mckinsey.com

• Supply & Demand Chain Executive. Transforming Maritime Insurance Through Advanced Risk Assessment. sdcexec.com

• MDPI Sustainability Journal. Shaping the Future of Freight Logistics: Use Cases. mdpi.com

• BBVA. Five insurtech startups reinventing the insurance industry with technology and innovation. bbva.com.

• ArXiv. Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration. arxiv.org

• ArXiv. Adversarial AI in Insurance: Pervasiveness and Resilience. arxiv.org