Income analytics provide insight into an individual's earnings by calculating gross monthly and annual income. Gross monthly income is then broken down into base, bonus, overtime, and commission. This information helps lenders assess risk and manage exposure by understanding a customer’s income and ability to service debt.

Ocrolus’s income analytics allow you to:

Reduce human error
Save time by reducing manual calculations
Increase the number of loans that can you can process in a month
Improve the borrower experience by speeding up the underwriting process

Example - income analytics using pay stubs

{
  "status": 200,
  "message": "OK",
  "response": [
    {
      "book_uuid": "d290f1ee-6c54-4b01-90e6-d701748f0851",
      "person": {
        "name": "John Doe",
        "matched_names": [
          "John Doe",
          "John H. Doe",
          "Jonathan Doe"
        ]
      },
      "calculated_at": "2016-08-29T09:12:33.001Z",
      "currency": "USD",
      "estimated_gross_income": {
        "monthly_base": "5000",
        "monthly_overtime": "1000",
        "monthly_bonus": "2000",
        "monthly_commission": "2000",
        "annual_income": "120000"
      }
    },
    {
      "book_uuid": "d290f1ee-6c54-4b01-90e6-d701748f0851",
      "person": {
        "name": "Jane Doe",
        "matched_names": [
          "Jane W. Doe",
          "Jane Doe",
          "Janette Doe"
        ]
      },
      "calculated_at": "2016-08-29T09:12:33.001Z",
      "currency": "USD",
      "estimated_gross_income": {
        "monthly_base": "6000",
        "monthly_overtime": "1000",
        "monthly_bonus": "2000",
        "monthly_commission": "2000",
        "annual_income": "130000"
      }
    }
  ]
}