January 12th, 2021

Liqui.do Speeds Credit Scoring for Fair Lending with H2O.ai

RSS icon RSS Category: Customer, Financial Services, Use Cases

Liqui.do is a technological and innovative company developing a platform for leasing equipment for small and medium enterprises. As part of its business to provide a variety of credit options for companies that want to finance capital purchases, Liqui.do needs to rapidly and accurately assess the credit risk and scoring of a customer in order to offer the most attractive credit options. Expanding access to credit by reducing previous lending biases helps to drive both freedom and flexibility for people and businesses as well as business growth. This is why Liqui.do decided to use Machine Learning to meet their needs.

H2O.ai provided their AutoML technology, Driverless AI, that enabled Liqui.do to provide deep insights into the model to help the team minimize past biases. Now they are able to provide 20% more applicants with credit and offer the right financial products to meet the needs of their customers. The solution helps Liqui.do improve its credit risk predictions, improving lending fairness, and customer experience.

Using Driverless AI, in less than three months, the company was able to develop an algorithm that boosted its model performance by 20%, giving Liqui.do the ability to increase its credit approvals without compromising the company credit losses. Liqui.do also aims to add AI to more processes, using H2O.ai technology, improving efficiency and efficacy.

“H2O.ai has been a terrific partner in helping Liqui.do utilize artificial intelligence to enhance its business and increase responsiveness to customers,” said Sergio Nunes, Liqui.do CEO.  “Our processes are much more efficient thanks to Driverless AI, the solution helps us make the right decision at the right time and in a fair way. We are excited by the initial results H2O.ai’s offerings have provided and looking forward to expanding the usage of AI within the company.”

H2O.ai is a leading open-source AI platform, and its Driverless AI is a leading automatic machine learning (AutoML) platform that helps customers easily build and deploy machine learning models. H2O Driverless AI automates time-consuming machine learning workflows with automatic feature engineering, model tuning, and model selection to achieve the highest predictive accuracy within the shortest amount of time.

“Liqui.do is using H2O Driverless AI to personalize credit towards equipment rentals for small-medium enterprises.” said Sri Ambati, CEO & Founder of H2O.ai. “H2O’s autoML is helping Liqui.do transform the future of equipment renting.”

To learn more about Liqui.do, visit https://liqui.do

About the Author

Eve-Anne Tréhin

After a successful experience in Marketing working for various software providers such as Aptean and Avolin, Eve-Anne is excited to join H2O.ai as EMEA Field Marketing Manager. In her previous roles, Eve-Anne was in charge of planning and running Marketing programs for different solutions of the companys’ portfolios and across several regions in order to generate leads, increase sales pipeline, build brand awareness and increase customer engagement. Eve-Anne is French, but was born and raised in Germany, she did part of her studies in Brussels and in London, which gave her a passion for multiculturality and foreign languages. She holds a bachelor’s degree in translation and a master’s in marketing, and was also recently certified in Project Management and Digital Marketing.

Leave a Reply

Learning from others is imperative to success on Kaggle says this Turkish GrandMaster

In conversation with Fatih Öztürk: A Data Scientist and a Kaggle Competition Grandmaster. In this series

February 15, 2021 - by Parul Pandey
H2O-3 Improvements from Two University Projects

In September 2019 H2O.ai became a silver partner of the Faculty of Informatics at Czech

February 8, 2021 - by Veronika Maurerova
Data to Production Ready Models to Business Apps in Just a Few Steps

Building a Credit Scoring Model and Business App using H2O In the journey of a successful

February 5, 2021 - by Shivam Bansal
Using Python’s datatable library seamlessly on Kaggle

Managing large datasets on Kaggle without fearing about the out of memory error Datatable is a Python

February 3, 2021 - by Parul Pandey and Rohan Rao
Fallback Featured Image
Successful AI: Which Comes First, the Data or the Question?

Successful AI is a business process. Even the most sophisticated models, the latest algorithms, and highly

February 2, 2021 - by Ellen Friedman, PhD
Introducing H2O AI Hybrid Cloud

Organizations have made large investments in modernizing their data infrastructure and operations, but most still

January 26, 2021 - by Benjamin Cox and Jo-Fai Chow

Join the AI Revolution

Subscribe, read the documentation, download or contact us.

Subscribe to the Newsletter

Start Your 21-Day Free Trial Today

Get It Now
Desktop img