
AI for proactive risk management in fleet insurance
Using artificial intelligence, motor insurers can make informed business decisions based on actual risk and proactively influence customer risk with data-driven insights.
Using artificial intelligence, motor insurers can make informed business decisions based on actual risk and proactively influence customer risk with data-driven insights.
Greater Than’s Crash Probability Dashboard provides a dynamic view of risk level in real-time across an entire driving population.
AI in risk management can predict crashes before they happen, putting risk managers in greater control than ever before. AI can also predict climate impact, supporting organizations with sustainability and ESG.
We’re pleased to support efforts to reduce road crashes and have chosen to join the conversation around Distracted Driving Awareness Month by taking a wider view of distracted driving.
AI gives mobility providers a new level of understanding for dynamic pricing and greater control over risk and insurance costs while enabling customer-centric solutions that reward sustainable driving.
The explosion of connected data has the power to dramatically improve driver risk management and facilitate precision insurance pricing.
AI pattern profiling in driver risk management works in a similar way to facial recognition, but instead of comparing data to faces, it compares it to a database of known vehicle trips.
The way that motor insurance is priced has changed over the last couple of decades. Thanks to data-driven insights, insurers have enhanced their pooled pricing models to encompass risk.
Pattern AI in motor insurance is facilitating the prediction of not only crash probability, but also crash type and associated cost, enabling accurate loss forecasting.
For many telematics service providers, it’s a dream to monetize their data and discover new business opportunities. Now, thanks to artificial intelligence, that dream is becoming a reality.
Our AI identifies the 15% of drivers contributing to 50% of risk, providing motor insurance carriers with new insights to optimize current pricing models.
The needs of fleets are changing fast. Thankfully, AI is enabling driver risk management providers to take their solutions to another level by identifying crash probability and climate impact.