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How Instacar uses Machine Learning to verify customer creditworthiness.

Optical Character recognition extraction model @ Instacar


About Instacar

Flexible car leasing plans, offering the possibility of getting new or slightly used cars from official Greek dealerships, easily, quickly, and for as many months as the customer wants, on a monthly subscription basis. 

 

The Challenge

  1. Reduce the time spent on submitting and receiving required documents to verify the creditworthiness of a customer. 
  2. Increase the effectiveness of collecting required information.
  3. Increase the quality of customer experience.

 

The Solution

Develop an automated document processing system to read, verify, and extract key information from documents to examine the creditworthiness of a customer. 

 

How Instacar uses Machine Learning to verify customer creditworthiness.

Car leasing company leverages Machine Learning to assist in the customer creditworthiness verification process before getting a leasing agreement. 

 

How Big Blue helped

We developed an automated document processing system that simplifies customer onboarding by enabling users to gather all required information and documents, upload them, and validate their quality.
Once the documents are admitted, and thanks to the use of a neural network, their category is defined. To complete the procedure, an Optical Character Recognition (OCR) model helps extract the necessary data and move on with the creditworthiness verification process.

The impact

By streamlining document collection and processing that identifies documents and checks their quality, facilitating the procedure for both the customers and the company’s internal stakeholders, Instacar has:

  • reduced the document review time and eliminated the back-and-forth associated with document corrections
  • increased operational efficiency and improved data quality

The AI model, Big Blue used, helps the company speed up and also focus on higher-value tasks, enhancing competitiveness in the car leasing market.

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