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Number of applications: 2

Intelligent scoring system

Customer

Gen2B жауапкершілігі шектеулі серіктестігі
Decision acceptance deadline

24.12.25 (inclusive)

Form of award

By agreement

Product status

Idea

Task type

ICT tasks

Сфера применения

Food industry

Область задачи

Neurotechnology and artificial Intelligence

Type of product

Software/ IS

Problem description

Classical methods of assessing creditworthiness (based on official reports only) exclude reliable clients from the SME segment or skip risky ones, which leads to loss of profits.

Expected effect

An increase in loan approval by 20% without an increase in overdue debt, and a reduction in the application review time from 3 days to 10 minutes.

Full name of responsible person

Emilia

Purpose and description of task (project)

Develop an algorithm that analyzes unstructured data (movement of funds on accounts, online activity, counterparty reviews) and provides a forecast of the borrower's probability of default.

Note

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