{
  "$type": "site.standard.document",
  "description": "A user's credit score is determined based at least in part upon collected telematics data and user data associated with the user. A credit score prediction model is created using training datasets of historical data including demographics data, driver profile data, and established credit scores…",
  "path": "/patents/1347112",
  "publishedAt": "2023-07-06T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06Q40/025",
    "BlueOwl, LLC"
  ],
  "textContent": "A user's credit score is determined based at least in part upon collected telematics data and user data associated with the user. A credit score prediction model is created using training datasets of historical data including demographics data, driver profile data, and established credit scores. The credit score prediction model is then used to predict credit scores for users without formal credit scores. A user's credit score is predicted based at least in part upon a driver profile built using telematics data, among other factors.",
  "title": "SYSTEMS AND METHODS FOR GENERATING A CREDIT SCORE BASED AT LEAST IN PART UPON TELEMATICS DATA"
}