The company DataScale has completed a project to automate the processing of loan applications at CHAKB Davr Bank using the low-code platform DocHub, designed for business process automation and built on the principles of service-oriented architecture (SOA).

Thanks to a business process-oriented approach and the lack of need for coding, applications created on DocHub are easily understood and align with the language of business. The platform integrates data, people, and workflows within the organization, making clients' businesses more competitive and profitable. Logic and database management are carried out through an intuitive interface that allows for the customization of corporate applications to meet specific needs. Processes are visualized in a format that is comprehensible to business leaders, eliminating the need for deep immersion in the IT aspects of projects.

This project represents an important step towards enhancing efficiency and improving customer service at Davr Bank. The primary goal of the bank is to maximize profitability and shareholder value by providing high-quality banking services to both private and corporate clients. The implementation of modern technological banking products and the expansion of collaboration with international financial institutions enables the bank to achieve these goals.

The project to implement a credit conveyor based on the DocHub platform was initiated to formalize and automate the processing of loan applications for individuals and legal entities. The process starts with the initialization of an application in the bank's CRM user interface, after which the system sends a request to the credit scoring service and receives a response that is returned to the bank's CRM user for generating an offer for the client.

Within the project, the DataScale team, leveraging the flexibility of the implemented solution, was able to quickly restructure both internal and external processes related to loan issuance in accordance with the updated requirements of the Central Bank of the Republic of Uzbekistan, adopted in October 2024.

During the project's implementation, the following results were achieved:

  1. Elimination of the human factor and reduction of error probability: the number of errors in application processing decreased by 70%, leading to a reduction in returns and rework.
  2. Acceleration of the loan issuance process by 60%: the average time from application submission to approval was reduced from 48 to 20 hours, enhancing customer service speed.
  3. Optimization of employee working time by 35%: employees can now focus on more complex tasks and client interactions, improving service quality.
  4. Retirement of outdated systems in the future: transitioning to modern systems will allow for savings of up to 20% on maintaining outdated technologies and simplify IT infrastructure support.
  5. Increased efficiency of the loan process: automation of all stages of the credit process has reduced the time for application review, accelerated decision-making, and improved the overall operational efficiency of the bank.
  6. Improvement in customer service quality: with the ability to submit documents online, track application status, and faster application reviews, clients receive a more convenient and transparent service.
  7. Reduction of operational costs: optimizing the loan process and reducing execution time enable the bank to lower operational expenses.
  8. Improvement in risk management: automating the loan process aids in better risk control, as the system can analyze data and identify potential issues at early stages.
  9. Resilience to market changes: the flexibility of automated processes allows the bank to adapt quickly to changing market conditions and client needs.

“The automation of the loan application processing using DocHub has significantly improved our operations, allowing us to serve clients faster and more efficiently. We are confident that further integrations with mobile banking and other services will make our process even more effective,” noted Shokhrukh Ayubov, IT Development Director at Davr Bank.

Automating the loan application processing will enable the bank to enhance efficiency, improve customer service, reduce costs, and become more competitive in the financial services market.

“We are pleased to see how our solutions facilitate process optimization in banks and enhance service quality for clients. This project is a vivid example of successful partnership between our bank and our team,” said Roman Solovyev, CEO of DataScale.

CHAKB Davr Bank is a dynamically developing bank that demonstrates high growth in both corporate client servicing and retail segments. Currently, the bank is one of the leading commercial banks in Uzbekistan, a universal and highly reliable financial institution.

DataScale specializes in developing and implementing effective digital solutions for banks and financial organizations using new technologies. DataScale brings together experts with extensive experience in international projects and deep knowledge of global practices to create optimal comprehensive solutions for each client.

Advertisement.