Mitigate risky behaviour and prevent collisions to protect the Insured
Automated messages are tailored to provide a unique approach to each customer
Incentivise positive behaviour through reward schemes
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Lead the FNOL process, providing an improved, consumer-centric experience
Reduce overall cost-per-claim by reducing resolution times
Respond to any immediate needs relating to an incident as soon as they arise
Behavioural insight derived from big-data through proprietary machine learning algorithms
Premiums more accurately reflect fleet risk profile
Monitor and actively reduce the risk profile of the Insured to provide more competitive rates
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Create a long-lasting relationship with customers
Provide connected policies that leverage automation to manage exposure in real-time
Implement usage-based cover to pivot into new markets
Find out how Antilo utilised Quest Automotive to transform the way they utilise data to segment the market.
