18653494. SYSTEMS AND METHODS FOR GENERATING USER OFFERINGS RESPONSIVE TO TELEMATICS DATA simplified abstract (State Farm Mutual Automobile Insurance Company)

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SYSTEMS AND METHODS FOR GENERATING USER OFFERINGS RESPONSIVE TO TELEMATICS DATA

Organization Name

State Farm Mutual Automobile Insurance Company

Inventor(s)

Ryan Michael Gross of Normal IL (US)

Joseph Robert Brannan of Bloomington IL (US)

Brian N. Harvey of Bloomington IL (US)

SYSTEMS AND METHODS FOR GENERATING USER OFFERINGS RESPONSIVE TO TELEMATICS DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18653494 titled 'SYSTEMS AND METHODS FOR GENERATING USER OFFERINGS RESPONSIVE TO TELEMATICS DATA

Simplified Explanation:

This patent application describes a user analytics computing device that processes telematics data from mobile devices to predict a user's travel mode and offer personalized notifications based on the user's movement patterns.

  • The device stores a model to predict a user's travel mode using historical telematics data.
  • It assigns users to specific groups based on their travel modes.
  • Telematics data associated with user movement is received and input into the model to determine the travel mode.
  • The device parses subsets of the telematics data based on the determined travel modes.
  • It retrieves eligibility conditions for user offerings and aggregates data to check eligibility.
  • Notifications are displayed on the user's mobile device based on the aggregated data.

Key Features and Innovation:

  • Predicting travel modes based on historical telematics data.
  • Grouping users based on travel modes.
  • Offering personalized notifications based on movement patterns.
  • Aggregating data to determine eligibility for user offerings.
  • Displaying notifications on the user's mobile device.

Potential Applications:

This technology can be used in transportation, logistics, and travel industries to offer personalized services and notifications to users based on their travel behavior.

Problems Solved:

This technology addresses the need for personalized and targeted notifications for users based on their travel patterns, improving user engagement and satisfaction.

Benefits:

  • Enhanced user experience through personalized notifications.
  • Improved efficiency in offering relevant services to users.
  • Increased user engagement and satisfaction.

Commercial Applications:

Potential commercial applications include transportation services, travel apps, and logistics companies looking to enhance user experience and engagement through personalized notifications and services.

Questions about User Analytics Computing Device:

1. How does the device determine the eligibility conditions for user offerings? 2. What are the potential privacy concerns associated with processing user telematics data for personalized notifications?


Original Abstract Submitted

A user analytics computing device for processing mobile device telematics data includes a processor in communication with a memory device. The processor is programmed to: (i) store a model to predict a travel mode for a user based upon historical telematics data, (ii) form a first group by assigning a user to the first group, (iii) receive telematics data associated with movement of the user, (iv) input the telematics data into the model to determine a travel mode of the user, (v) parse subsets of the telematics data based upon the determined travel modes, (vi) retrieve an eligibility condition defining eligibility to qualify for a user offering, (vii) aggregate one subset of the telematics data associated with the first travel mode of the user, (viii) determine that the group telematics data satisfies the eligibility condition, and (ix) cause a notification to be displayed on the mobile device of the user.