MANAGING VEHICLE OPERATOR PROFILES BASED ON TIERS OF TELEMATICS INFERENCES VIA A TELEMATICS MARKETPLACE
Method, system, device, and non-transitory computer-readable medium for data management. In some examples: a computer-implemented method includes: collecting a plurality of personal data sets continually; collecting a plurality of sensor data sets continually via one or mote sensing modules; for each vehicle operator of the plurality of vehicle operators; generating and continually updating an operator profile; determining and continually updating one or hums telematics inferences; generating and continually a data profile, assigning and continually updating an operator tier; and listing and continually updating the data profile onto a telematics marketplace according to the operator tier, receiving an information request for one or more operator profiles; and transmitting the one or more operator profiles to the requesting party.
1 . A computer-implemented method for data management, the computer-implemented method comprising:
collecting a plurality of personal data sets associated with a plurality of vehicle operators continually;
collecting a plurality of sensor data sets associated with the plurality of vehicle operators continually via one or more sensing modules;
for each vehicle operator of the plurality of vehicle operators:
generating and continually updating an operator profile including the personal data set associated with the vehicle operator;
determining and continually updating one or more telematics inferences based at least in part upon the sensor data set associated with the vehicle operator;
generating and continually updating a data profile including the one or more telematics inferences associated with the vehicle operator;
assigning and continually updating an operator tier selected from a plurality of operator tiers based at least in part upon the one or more telematics inferences; and
listing and continually updating the data profile onto a telematics marketplace according to the operator tier to be accessible by a plurality of marketplace participants,
receiving, from a requesting party of the plurality of marketplace participants, an information request for one or more operator profiles associated with a number of vehicle operators of a target operator tier selected from the plurality of operator tiers; and
transmitting, in response to the information request, the one or more operator profiles to the requesting party.
2 . The computer-implemented method of claim 1 , wherein, the determining and continually updating one or more telematics inferences includes:
determining and continually updating a predicted profitability based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.
3 . The computer-implemented method of claim 2 , wherein, the assigning and continually updating an operator tier includes:
assigning and continually updating a predicted operator profitability tier selected from a plurality of predicted operator profitability tiers based at least in part upon the predicted profitability.
4 . The computer-implemented method of claim 2 , wherein, the determining and continually updating the predicted profitability includes:
determining and continually updating a predicted costs and a predicted revenue based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.
5 . The computer-implemented method of claim 4 , wherein, the assigning and continually updating an operator tier includes:
assigning and continually updating a predicted operator costs tier selected from a plurality of predicted operator costs tiers based at least in part upon the predicted costs; and
assigning and continually updating a predicted operator revenue tier selected from a plurality of predicted operator revenue tiers based at least in part upon the predicted revenue.
6 . The computer-implemented method of claim 4 , wherein, the determining and continually updating the predicted costs includes:
determining and continually updating a predicted losses and a predicted expenses based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.
7 . The computer-implemented method of claim 6 , wherein, the assigning and continually updating an operator tier includes:
assigning and continually updating a predicted operator losses tier selected from a plurality of predicted operator losses tiers based at least in part upon the predicted losses, and
assigning and continually updating a predicted operator expenses tier selected from a plurality of predicted operator expenses tiers based at least in part upon the predicted expenses.
8 . The computer-implemented method of claim 1 , wherein:
the one or more sensing modules includes a common module used by a plurality of mobile applications;
the common module is a software module or a common hardware module; and
each vehicle operator uses at least one mobile application of the plurality of mobile applications.
9 . The computer-implemented method of claim 8 , wherein, the plurality of mobile applications includes a system software application, an entertainment software application, a gaming software application, a navigation software application, or an environment software application.
10 . A computing system for data management, the computing system comprising:
one or more processors; and
a memory storing instructions that, upon execution by the one or more processors, cause the computing system to perform one or more processes including:
collecting a plurality of personal data sets associated with a plurality of vehicle operators continually;
collecting a plurality of sensor data sets associated with the plurality of vehicle operators continually via one or more sensing modules;
for each vehicle operator of the plurality of vehicle operators:
generating and continually updating an operator profile including the personal data set associated with the vehicle operator;
determining and continually updating one or more telematics inferences based at least in part upon the sensor data set associated with the vehicle operator;
generating and continually updating a data profile including the one or more telematics inferences associated with the vehicle operator;
assigning and continually updating an operator tier selected from a plurality of operator tiers based at least in part upon the one or more telematics inferences; and
listing and continually updating the data profile onto a telematics marketplace according to the operator tier to be accessible by a plurality of marketplace participants;
receiving, from a requesting party of the plurality of marketplace participants, an information request for one or more operator profiles associated with a number of vehicle operators of a target operator tier selected from the plurality of operator tiers, and
transmitting, in response to the information request, the one or more operator profiles to the requesting party.
11 . The computer system of claim 10 , wherein, the determining and continually updating one or more telematics inferences includes:
determining and continually updating a predicted profitability based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.
12 . The computer system of claim 11 , wherein, the assigning and continually updating an operator tier includes:
assigning and continually updating a predicted operator profitability tier selected from a plurality of predicted operator profitability tiers based at least in part upon the predicted profitability.
13 . The computer system of claim 11 , wherein, the determining and continually updating the predicted profitability includes:
determining and continually updating a predicted costs and a predicted revenue based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.
14 . The computer system of claim 13 , wherein, the assigning and continually updating an operator tier includes:
assigning and continually updating a predicted operator costs tier selected from a plurality of predicted operator costs tiers based at least in part upon the predicted costs; and
assigning and continually updating a predicted operator revenue tier selected from a plurality of predicted operator revenue tiers based at least in part upon the predicted revenue.
15 . The computer system of claim 13 , wherein, the determining and continually updating the predicted costs includes:
determining and continually updating a predicted losses and a predicted expenses based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.
16 . The computer system of claim 15 , wherein, the assigning and continually updating an operator tier includes:
assigning and continually updating a predicted operator losses tier selected from a plurality of predicted operator losses tiers based at least in part upon the predicted losses; and
assigning and continually updating a predicted operator expenses tier selected from a plurality of predicted operator expenses tiers based at least in part upon the predicted expenses.
17 . The computer system of claim 10 , wherein:
the one or more sensing modules includes a common module used by a plurality of mobile applications;
the common module is a software module or a common hardware module; and
each vehicle operator uses at least one mobile application of the plurality of mobile applications.
18 . The computer system of claim 17 , wherein, the plurality of mobile applications includes a system software application, an entertainment software application, a gaming software application, a navigation software application, or an environment software application.
19 . A non-transitory computer-readable medium storing instructions for data management, the instructions upon execution by one or more processors of a computing system, cause the computing system to perform one or more processes including:
collecting a plurality of personal data sets associated with a plurality of vehicle operators continually;
collecting a plurality of sensor data sets associated with the plurality of vehicle operators continually via one or more sensing modules;
for each vehicle operator of the plurality of vehicle operators:
generating and continually updating an operator profile including the personal data set associated with the vehicle operator;
determining and continually updating one or more telematics inferences based at least in part upon the sensor data set associated with the vehicle operator;
generating and continually updating a data profile including the one or more telematics inferences associated with the vehicle operator;
assigning and continually updating an operator tier selected from a plurality of operator tiers based at least in part upon the one or more telematics inferences; and
listing and continually updating the data profile onto a telematics marketplace according to the operator tier to be accessible by a plurality of marketplace participants;
receiving, from a requesting party of the plurality of marketplace participants, an information request for one or more operator profiles associated with a number of vehicle operators of a target operator tier selected from the plurality of operator tiers; and
transmitting, in response to the information request, the one or more operator profiles to the requesting party.
20 . The non-transitory computer-readable medium of claim 19 , wherein, the determining and continually updating one or more telematics inferences includes:
determining and continually updating a predicted profitability based at least in part upon the associated continually received personal data set and the associated continually received sensor data set.