System and method to predict an insurance policy benefit associated with telematics data

A computerized method for predicting an insurance premium discount, the method comprising:

• determining, using a processor, driver demographic information for a driver of a vehicle;
• causing, by the processor, to be displayed to the driver a first average number of safety events associated with a first safety event type and a second average number of safety events associated with a second safety event type, wherein the first and second average numbers of safety events are based at least in part on the driver demographic information;
• receiving by the processor from the driver of the vehicle, via a communication device, a first predicted number of safety events that will occur for the driver of the first safety event type;
• receiving by the processor from the driver, via the communication device, a second predicted number of safety events that will occur for the driver of the second safety event type;
• automatically calculating by the processor a predicted discount for an insurance premium of an automobile insurance policy for the vehicle based at least in part on the first and second predicted numbers of safety events;
• and
• outputting, via the communication device, an indication of the predicted discount for the insurance premium of the automobile insurance policy,
• wherein the first safety event type comprises one of (i) hard deceleration events, (ii) speeding events, (iii) aggressive driving events, (iv) hard acceleration events, and (v) driving at high risk times events, and the second safety event type comprises a different safety event type than the first safety event type and comprises one of:
• (i) hard deceleration events, (ii) speeding events, (iii) aggressive driving events, (iv) hard acceleration events, and (v) driving at high risk times events.

A computerized method for predicting an insurance premium discount, the method comprising:

• receiving by a processor from a driver of a vehicle, via a communication device, a desired insurance policy benefit for an automobile insurance policy;
• automatically calculating by a processor a first number of safety events that can occur for the driver of a first safety event type based at least in part on the desired insurance policy benefit and demographic data for the driver;
• automatically calculating by the processor a second number of safety events that can occur for the driver of a second safety event type based at least in part on the desired insurance policy benefit and demographic data for the driver;
• and
• outputting, via the communication device, an indication of the first and second number of safety events,
• wherein the first and second number of safety events are predicted to achieve the desired insurance policy benefit, and
• wherein the first safety event type comprises one of (i) hard deceleration events, (ii) speeding events, (iii) aggressive driving events, (iv) hard acceleration events, and (v) driving at high risk times events, and the second safety event type comprises a different safety event type than the first safety event type and comprises one of:
• (i) hard deceleration events, (ii) speeding events, (iii) aggressive driving events, (iv) hard acceleration events, and (v) driving at high risk times events.

A non-transitory computer readable medium having stored therein instructions that, upon execution, cause a computer to perform a method to predict a discount for an automobile insurance policy, the method comprising:

• determining demographic information associated with a driver of a vehicle;
• causing to be displayed to the driver a first average number of safety events associated with a first safety event type and a second average number of safety events associated with a second safety event type, wherein the first and second average numbers of safety events are based at least in part on the driver demographic information;
• receiving from the driver of the vehicle a first predicted number of safety events that will occur for the driver of the first safety event type;
• receiving from the driver a second predicted number of safety events that will occur for the driver of second safety event type;
• calculating a predicted discount for an insurance premium of an automobile insurance policy for the vehicle based on the first and second predicted numbers of safety events;
• and
• outputting an indication of the predicted discount for the insurance premium of the automobile insurance policy,
• wherein the first safety event type comprises one of (i) hard deceleration events, (ii) speeding events, (iii) aggressive driving events, (iv) hard acceleration events, and (v) driving at high risk times events, and the second safety event type comprises a different safety event type than the first safety event type and comprises one of:
• (i) hard deceleration events, (ii) speeding events, (iii) aggressive driving events, (iv) hard acceleration events, and (v) driving at high risk times events.