Acordo Certo Reduces Consumer Debt in Brazil with H2O.ai
Company Size
11-200
Region
- America
Country
- Brazil
Product
- H2O Driverless AI
Tech Stack
- Machine Learning
- AI
- Automatic Feature Engineering
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
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
About The 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.
The 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.
The 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%.
Operational Impact
Quantitative Benefit
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