Improving Pricing with AI
The RapidCanvas AI-based dynamic pricing solutions allow insurers to incorporate diverse data sources, identify risk variables specific to each customer, run predictive models, and optimize premiums tailored to the risk profile of individual policies.
Data collection and ingestion
Collect real-time data on risk factors like demographics, lifestyle, health, assets, location etc.
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Model training for risk analysis
Use machine learning to analyze all relevant variables and precisely evaluate risk.
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Model monitoring and updates
Refine algorithms as new data comes in to improve predictive accuracy.
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