AI-Powered Optimization Will Power Home Credit Group Growth
International consumer lender will use advanced machine learning to make the best credit offers to consumers with little or no credit history

Home Credit Group, which lends to underserved customers with little or no credit history, has chosen FICO® Decision Optimizer, part of the FICO® Platform, to further improve its lending offers in multiple markets. The adoption of FICO’s AI-powered optimization follows a successful pilot in Russia, which delivered excellent results including significant profitability improvement on the targeted part of the loan portfolio, as well as an increase in new loan volumes.
“We pride ourselves on being a responsible lender whose decision-making in risk management is powered by advanced technology,” explained Radek Pluhar, Home Credit Group’s Chief Risk Officer. “We have a very clear understanding of the consumers we want to continue serving – they are often neglected by other lenders simply because of their lack of credit history. For them it’s vital that we are able to offer a loan with the best possible combination of the price and the loan size which fits their needs. FICO Decision Optimizer will help us to acquire these customers while meeting our demanding risk and reward targets. The advanced technology enables us to boost our competitive edge across our markets.”
Home Credit Group’s central team of data scientists and optimization experts will develop country-specific solutions to optimize loan pricing in Kazakhstan and Vietnam initially, with plans to expand into other markets in the next phase.
“Pricing optimization can generate impressive results in just a few months,” said Petr Kapoun, Chief Risk Officer at Home Credit Russia. “FICO’s optimization approach brings a clear structure that easily accommodates numerous overlapping policy rules; at the same time, it builds our own analytics expertise into the final decision-making. Such a unique combination delivers truly significant business impact and we are continuously looking for its introduction into new applications areas.”
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