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CASE STUDY

ComperiaRaty with Machine Learning technology from Algolytics indicates where you can get a loan in 10 minutes

Data aggregation < 1 sec.

Aggregation of databases and credit offers from financial institutions in less than 1 second

Personalized offer

Matching the offer to the individual needs of the applicant

Loan in 10 minutes

Indicating the offer with the highest probability of positive consideration and a credit decision in as little as 10 minutes

CLIENT

01.

Meet ComperiaRaty

ComperiaRaty is a fintech operating since 2007, whose mission is to provide tailored financial and insurance solutions.

CHALLENGE

02.

Matching the loan offer to the client

ComperiaRaty needed a solution that would enable quick and precise matching of loan offers to individual client needs and indicate the offer with the highest probability of a positive credit decision.

Learn how ComperiaRaty identifies the offers with the highest probability of approval in as little as 10 minutes.

Machine Learning-based solutions continue to transform the financial sector, and in this industry, it’s not a matter of “if” but “when” to adopt even more effective technological solutions.

SZYMON FIERCEK Board member, comperia.pl sa.

SOLUTION

03.

Automatic analysis and selection of the best loan offers

Scoring.One, the decision engine from Algolytics, aggregates, validates, and processes data in just 0.1 seconds to pre-select the best loan offers for ComperiaRaty users.

RESULTS

04.

Offers tailored to applicants’ needs

Thanks to the Scoring.One engine from Algolytics, the following results have been achieved:

  • Aggregation of databases and credit offers from financial institutions in less than 1 second
  • Matching offers to the individual needs of applicants
  • Indicating the offer with the highest probability of positive consideration and a credit decision in as little as 10 minutes

Download the full Case Study

Fill out the form to learn how ComperiaRaty identifies offers with the highest probability of positive consideration in as little as 10 minutes.