Case study

Automotive industry

Automotive financial automates the granting of credits in dealerships

Project summary

 

Client

Automotive financial

Sector

automotive

Project objectives

Documentary recognition to speed up granting of credits

Implanted technology

IDDILIGENCE

 

Challenges

The client required a technological solution with which to recognize the type of documentation needed to grant a loan, as well as automatically validate the information included in the application and contrast it with the documentation provided by the client, validating:

In each document sent, its belonging to the owner or the intervener.
In each document and field your OK or KO, regarding the data of the request.

Documents to identify and validate:

  • Payroll
  • Bank receipt
  • Proof of address
  • RPF
  • Pension
  • Circulation Permit

The implementation of IDDILIGENCE managed to solve all the challenges successfully.

Results

Streamline the management of between 300 and 500 daily requests, with an average of 5,000 daily documents in total, obtaining the following results:

  • Improved data and image quality.
  • Improved recognition of document content.

% Recognition according to type of documents (*)

%

Payroll

%

Identified

%

Bank receipt

%

Proof of address

%

Income

%

Pension

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