State Farm Mutual Automobile Insurance Company

John Ryan Hailey

Justin Davis

Edward P Matesevac

Erin Ann Olander

John Andrew Schirano

Mark O'Flaherty

A home cost analysis server for executing a customized home search may include a processor programmed to define a user budget constraint, receive a list of available homes, and determine an initial monthly cost for each home. The processor may also identify one or more additional home costs based on historical insurance claim data. The processor may also display available homes that satisfy the user budget constraint.

Systems and methods for executing a customized home search

A home cost analysis server is configured to train an image processing program to identify features of homes, receive user input including a prospective home, and access a first database storing metadata and images associated with homes, including the prospective home, available for purchase. The server is also configured to input images of the prospective home to the machine-learned image processing program, which outputs a feature of the prospective home, access a second database storing historical ancillary costs, and perform a lookup in the second database to retrieve comparable historical ancillary costs associated homes having a comparable feature to the outputted feature. The server is further configured to analyze the metadata associated with the prospective home, the outputted feature, and the comparable historical ancillary costs to determine ancillary home costs associated with the prospective home, and display the ancillary home costs and an overall monthly cost for the prospective home.

Systems and methods for identifying ancillary home costs

A home cost analysis server for executing a customized home search may include a processor programmed to define a user's budget constraint and a level of flexibility thereof, including a threshold difference from the budget constraint, retrieve a list of homes and public listing information associated with each home, and determine a monthly cost associated with each home. The processor may also isolate a first subset of homes having a monthly cost that satisfies the budget constraint, and a second subset of homes having a monthly cost within the threshold difference of the budget constraint, and display the first and second subsets along with respective first and second graphical indicators, as well as a third graphical indicator of a first adjustable expense data element, the third graphical indicator recommending reducing the first adjustable data element to move at least one first home from the second subset into the first subset.

A home cost analysis server for identifying one or more hidden home costs may include a processor programmed to receive user input including at least one prospective home. The processor may access a first external database storing metadata associated with a plurality of homes available for purchase, the plurality of homes including the prospective home, and access a second external database storing historical ancillary costs associated with a plurality of homes in a geographic area surrounding the prospective home. The processor may analyze metadata associated with the prospective home and the historical ancillary costs to determine ancillary home costs associated with the prospective home, and cause to be displayed the ancillary home costs at the user computing device using at least one graphical indicator. As a result, the prospective homebuyer may have additional education and insight into the potential costs of owning a home.

Systems and methods for identifying hidden home maintenance costs

A home cost analysis server for executing a customized home search may include a processor programmed to receive user input including a geographic area and a budget, and define a budget constraint. The processor may access an external database storing a list of available homes in the geographic area, and analyze metadata associated with each available home on the list to determine a monthly home cost associated with each available home. The processor may also determine a significant home maintenance cost associated with each available home based upon the metadata and the geographic area, and calculate a total cost associated with each available home. The processor may further isolate a subset of the available homes having the total cost associated therewith that satisfies the budget constraint, and cause to be displayed the subset of available homes along with a graphical indicator that associates the total cost with the budget constraint.

A method and system may automatically detect failures and send diagnostic information when scheduling home equipment repairs in a smart home environment. A smart home controller may receive sensor data from each of several pieces of smart home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of smart home equipment based on the sensor data, the smart home controller may communicate diagnostic information for the piece of smart home equipment experiencing the failure to a repair service provider to schedule a repair. The diagnostic information may include sensor data for the piece of smart home equipment, and data indicative of normal operation for the piece of smart home equipment. The smart home controller may transmit a notification to the repair service provider including step-by-step instructions for performing the repair of the piece of smart home equipment.

Systems and methods for sending diagnostic information during scheduling of home equipment repair

A method and system may automatically detect failures and schedule repairs for home equipment in a smart home environment when the property owner is away from the property. A smart home controller may receive sensor data from each of several pieces of smart home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of smart home equipment based on the sensor data, the smart home controller may determine that a first piece of smart home equipment needs to be repaired based on a collective analysis of first and second sets of sensor data from the first piece of smart home equipment and a second piece of smart home equipment, respectively. Then the smart home controller may provide a control signal to the first piece of smart home equipment to shut down or limit operation.

Systems and methods for pre-scheduling repair of home equipment

A method and system may automatically detect failures and schedule repairs for home equipment in a smart home environment. A smart home controller may receive sensor data from each of several pieces of home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of home equipment based on the sensor data, the smart home controller may communicate with a repair service provider to schedule a repair of the piece of home equipment which experiences the failure.

Systems and methods for scheduling repair of home equipment

A method and system may automatically detect failures and send diagnostic information when scheduling home equipment repairs in a smart home environment. A smart home controller may receive sensor data from each of several pieces of home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of home equipment based on the sensor data, the smart home controller may communicate diagnostic information for the piece of home equipment experiencing the failure to a repair service provider to schedule a repair.

A method and system may automatically detect failures and pre-schedule repairs for home equipment in a smart home environment when the property owner is away from the property. A smart home controller may receive sensor data from each of several pieces of home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of home equipment based on the sensor data, the smart home controller may communicate with a repair service provider to pre-schedule a repair of the piece of home equipment which experiences the failure. The repair service provider may then transmit a pre-scheduled time and cost for performing the repair and may perform the repair at the scheduled time.

A method and system resolves failures in a submersible pump. The method and system may receive data from one or more sensors associated with the submersible pump. The method and system may analyze the received data to detect a failure in the submersible pump. The failure may be due to a build-up of debris or particulates that has caused the submersible pump to stall or jam. To resolve the detected failure, the method and system may activate a mechanical shaker coupled to the submersible pump that produces vibrations to physically shake the submersible pump.

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Bloomington, IL, United States of America

John Ryan Hailey