Power Your Platform with our Advanced Cargo Theft Risk Score API

CargoNet's RouteScore API combines cutting-edge geospatial models with advanced machine-learning algorithms. This innovative integration delivers highly accurate predictions by harnessing spatial data and predictive analytics, transforming complex datasets into real-time actionable insights to improve cargo load safety.

The scoring algorithm evaluates over 15 critical data points to provide accurate cargo theft risk assessments seamlessly integrated into your platform. Key factors include commodity type, cargo value, origin, destination, length of haul, day of the week, time of year, risky truck stops along the route, and more.

Key Benefits:  

• Comprehensive Risk Insights: Our API considers a wide range of data—geography, cargo crime trends, route history, and more—to deliver reliable theft risk scores.
• Proactive Cargo Protection: Enable your customers to assess cargo theft risk in advance, allowing them to plan safer routes, choose secure truck stops, and adjust delivery schedules based on real-time data.
• Tailored for Multiple Platforms: Ideal for telematics, TMS, fintech, insure tech, supply chain risk management, and other third-party platforms.
• Best-in-Class Data Science: Our algorithm is powered by cutting-edge data science, developed by some of the top experts in the industry. With unmatched precision, it delivers the most accurate and actionable risk assessments available.
• Real-Time Scoring: Immediate access to actionable risk scores that help users make informed decisions to safeguard individual loads.
• Mitigate Potential Loss: Empower your customers to take preemptive measures, from securing additional insurance coverage to adjusting route choices, thereby reducing the likelihood of theft and loss.
• Easy API Integration: Simple, flexible integration to enhance your platform’s capabilities with minimal disruption.