H2O.ai Case Studies Acordo Certo Reduces Consumer Debt in Brazil with H2O.ai

Edit This Case Study Record

	Acordo Certo Reduces Consumer Debt in Brazil with H2O.ai H2O.ai

Acordo Certo Reduces Consumer Debt in Brazil with H2O.ai

H2O.ai

Technology Category	Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Use Cases	Predictive Maintenance Supply Chain Visibility
Services	Data Science Services
Challenge	Consumer debt was rising in Brazil, and it was becoming challenging for both consumers and debtors to find solutions. The target market of debtors and the ensuing volume of data to be analyzed were both large and therefore, challenging. Acordo Certo had a small team of data scientists, who were using traditional methods to collect and analyze data, as well as to build and deploy predictive and scored models. However, due to the large database of customers, there was a need to increase the agility of model development and accuracy, as well as improve overall trust in AI by making the results of machine learning algorithms transparent to business partners, such as retailers and banks. Read More
About Customer	Acordo Certo is Brazil’s largest online debt payment and re-negotiation platform. Based in São Paulo, the company was established in 2015 with a mission to transform the debt industry by helping people reduce debt and help creditors collect in a more seamless and predictable way. The company had a small team of data scientists who were using traditional methods to collect and analyze data, as well as to build and deploy predictive and scored models. Read More
Solution	H2O Driverless AI empowered the small team of data scientists at Acordo Certo to create new models and scores in a much faster and accurate way with automatic feature engineering and then review the results with machine learning interpretability. AI and machine learning have allowed Acordo Certo to better focus on consumer signals about changes in income and interest in repaying debt. With 3.6M Brazilians on the platform and by using H2O Driverless AI, Acordo Certo was mainly able to retire over $10M/month, reduce the model development time by 70%, and improve the model accuracy to nearly 80%. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Use Cases

Predictive Maintenance

Supply Chain Visibility

Services

Data Science Services

Challenge

Consumer debt was rising in Brazil, and it was becoming challenging for both consumers and debtors to find solutions. The target market of debtors and the ensuing volume of data to be analyzed were both large and therefore, challenging. Acordo Certo had a small team of data scientists, who were using traditional methods to collect and analyze data, as well as to build and deploy predictive and scored models. However, due to the large database of customers, there was a need to increase the agility of model development and accuracy, as well as improve overall trust in AI by making the results of machine learning algorithms transparent to business partners, such as retailers and banks.

About Customer

Acordo Certo is Brazil’s largest online debt payment and re-negotiation platform. Based in São Paulo, the company was established in 2015 with a mission to transform the debt industry by helping people reduce debt and help creditors collect in a more seamless and predictable way. The company had a small team of data scientists who were using traditional methods to collect and analyze data, as well as to build and deploy predictive and scored models.

Solution

H2O Driverless AI empowered the small team of data scientists at Acordo Certo to create new models and scores in a much faster and accurate way with automatic feature engineering and then review the results with machine learning interpretability. AI and machine learning have allowed Acordo Certo to better focus on consumer signals about changes in income and interest in repaying debt. With 3.6M Brazilians on the platform and by using H2O Driverless AI, Acordo Certo was mainly able to retire over $10M/month, reduce the model development time by 70%, and improve the model accuracy to nearly 80%.

Impact #1	Retire over $10M/month
Impact #2	Reduce the model development time by 70%
Impact #3	Improve the model accuracy to nearly 80%

Impact #1

Retire over $10M/month

Impact #2

Reduce the model development time by 70%

Impact #3

Improve the model accuracy to nearly 80%

Benefit #1	Retired over $10M of debt per month
Benefit #2	Reduced model development time by 70%
Benefit #3	Improved model accuracy to nearly 80%

Benefit #1

Retired over $10M of debt per month

Benefit #2

Reduced model development time by 70%

Benefit #3

Improved model accuracy to nearly 80%

Download PDF Version

Overview

Acordo Certo Reduces Consumer Debt in Brazil with H2O.ai

Operational Impact

Quantitative Benefit