Patent classifications
G06Q50/16
SYSTEMS AND METHODS FOR GENERATING ENTERPRISE DATA USING BASE-LINE PROBABLE ROOF LOSS CONFIDENCE SCORES
Apparatuses, systems and methods are provided for generating enterprise data relating to roof damage associated with weather and hail data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the base-line probable roof loss confidence scores. The apparatuses, systems and methods may generate probable roof loss confidence score data based upon the base-line probable roof loss confidence scores, weather event data and hail event data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the probable roof loss confidence score.
Facilitating customization and proliferation of state models
Systems and methods to facilitate a customization and proliferation of models are described. The system receives, via a first interface, table information and communicates the table information to a first model. The first model includes logic to process the values to generate a column of predicted values. The system receives a column of predicted values from the first model. The system appends the column of predicted values to the table information to generate appended table information. The system communicates, via a second interface, the appended table information to a second state including a second plurality of models. The sequence of states is associated with a plurality of interfaces including the first interface and the second interface. The interfaces facilitate a customization and proliferation of models.
Facilitating customization and proliferation of state models
Systems and methods to facilitate a customization and proliferation of models are described. The system receives, via a first interface, table information and communicates the table information to a first model. The first model includes logic to process the values to generate a column of predicted values. The system receives a column of predicted values from the first model. The system appends the column of predicted values to the table information to generate appended table information. The system communicates, via a second interface, the appended table information to a second state including a second plurality of models. The sequence of states is associated with a plurality of interfaces including the first interface and the second interface. The interfaces facilitate a customization and proliferation of models.
Media content based on playback zone awareness
Systems and methods are provided for providing media content based on playback zone awareness. In one aspect, a computing system receives, via a network interface, zone data from the media playback system, wherein the zone data includes an indication of a particular zone of the media playback system, and wherein the particular zone comprises at least one playback device. The computing system identifies audio content based on (i) the indication of the particular zone and (ii) contextual data associated with the particular zone, and provides, via the network interface, an indication of the identified audio content to the media playback system.
Media content based on playback zone awareness
Systems and methods are provided for providing media content based on playback zone awareness. In one aspect, a computing system receives, via a network interface, zone data from the media playback system, wherein the zone data includes an indication of a particular zone of the media playback system, and wherein the particular zone comprises at least one playback device. The computing system identifies audio content based on (i) the indication of the particular zone and (ii) contextual data associated with the particular zone, and provides, via the network interface, an indication of the identified audio content to the media playback system.
Systems and methods for managing building code compliance for a property
Methods and systems that manage building code compliance are provided. A smart or interconnected home may be populated with multiple smart or other devices that are in wired or wireless communication with a central controller. The smart devices may be covered by an insurance policy, such as a homeowners, renters, or personal articles insurance policy. The controller may receive building code compliance information associated with the smart devices, and may update an inventory list to include the building code compliance information. The controller may detect that one or more devices do not comply with building code requirements. The controller may transmit a notification to a customer about possible corrective actions to remedy non-compliant conditions and to facilitate building code compliance. The smart devices may be associated with appliances, electronics, wiring, pipes, ducts, or other equipment or personal belongings. Insurance discounts may be provided based upon the building code compliance functionality.
SYSTEMS AND METHODS FOR FACILITATING PREDICTING A FUTURE VALUE OF REAL ESTATE ASSETS
Disclosed herein is a method for facilitating predicting a future value of real estate assets. The method may include receiving at least one real estate asset indication of a real estate asset from at least one user device, identifying an asset location of the real estate asset, retrieving price information of the real estate asset from a distributed ledger, retrieving one or more indexes associated with the asset location from the distributed ledger, analyzing price trend and the one or more indexes, establishing a correlation between the price trend and the one or more indexes, generating the future value for the real estate asset at a future time, transmitting the future value of the real estate asset to the at least one user device and storing one or more datasets to the distributed ledger.
SYSTEMS AND METHODS FOR FACILITATING PREDICTING A FUTURE VALUE OF REAL ESTATE ASSETS
Disclosed herein is a method for facilitating predicting a future value of real estate assets. The method may include receiving at least one real estate asset indication of a real estate asset from at least one user device, identifying an asset location of the real estate asset, retrieving price information of the real estate asset from a distributed ledger, retrieving one or more indexes associated with the asset location from the distributed ledger, analyzing price trend and the one or more indexes, establishing a correlation between the price trend and the one or more indexes, generating the future value for the real estate asset at a future time, transmitting the future value of the real estate asset to the at least one user device and storing one or more datasets to the distributed ledger.
SYSTEMS AND METHODS FOR FACILITATING GENERATION OF REAL ESTATE DESCRIPTIONS FOR REAL ESTATE ASSETS
Disclosed herein is a method for facilitating generation of real estate descriptions for real estate assets, in accordance with some embodiments. The method may include a step of receiving, using a communication device, real estate information of a real estate asset from a user device, a step of analyzing, using a processing device, the real estate information, a step of generating, using the processing device, a real estate description for the real estate asset using a machine learning model based on the analyzing, a step of receiving, using the communication device, a keyword relevant in a real estate industry from the user device, a step of generating, using the processing device, an optimized real estate description for the real estate asset based on the keyword and the real estate description, and storing, using a storage device, the optimized real estate description.
SYSTEMS AND METHODS FOR FACILITATING GENERATION OF REAL ESTATE DESCRIPTIONS FOR REAL ESTATE ASSETS
Disclosed herein is a method for facilitating generation of real estate descriptions for real estate assets, in accordance with some embodiments. The method may include a step of receiving, using a communication device, real estate information of a real estate asset from a user device, a step of analyzing, using a processing device, the real estate information, a step of generating, using the processing device, a real estate description for the real estate asset using a machine learning model based on the analyzing, a step of receiving, using the communication device, a keyword relevant in a real estate industry from the user device, a step of generating, using the processing device, an optimized real estate description for the real estate asset based on the keyword and the real estate description, and storing, using a storage device, the optimized real estate description.