The 4 Pillars of Banking and Loan Personalization in Unsecured Lending

October 26, 2023

By Equipo de Earnix

For many, the term “personalization” is a buzzword with strong ties to digital experiences in online retail and consumer marketing. So, why is loan personalization so important today? And, most importantly, what it’s in it for you, the lender?

5 Key Lessons Learned for Maximizing the Value of AI in the Enterprise

October 22, 2023

By Equipo de Earnix

AI has captured imaginations, investments, and headlines around the world, from boardrooms to corporate strategy sessions to the popular media. It has already affected the way we do business, how we shop for goods and services, and the way live our daily lives.

Pricing Analytics for Consumer Lending: Solutions to Improve User-Friendliness

October 15, 2023

By Noga Aloni

The overarching theme of the global consumer lending landscape over the past couple of years is focused mainly on one thing: How should lenders look at setting loan and lease pricing and managing portfolio risk in a market that is constantly changing?

Pricing Software and Beyond: Build vs. Buy

October 1, 2023

By Sean Johnson

If you are facing with a choice of building vs purchasing an off-the-shelf pricing analytics software, this blog post will help you understand the pros and cons of both and present them to your management and IT teams.

Introducing Earnix Pricing Accelerator

June 6, 2023

By Equipo de Earnix

Thinking of leveraging analytics in your pricing processes but don’t want to be overwhelmed by complex data analysis tools? Want to find ways to better leverage the work of your data science teams? Do you wish there were an easier way to analyze your pricing strategies and make data-driven decisions? Look no further than Pricing Accelerator. 
3 Benefits of a Proactive and Agile Pricing Engine for Auto Finance

March 29, 2023

By Sean Johnson

What does it mean to have a proactive, optimal pricing strategy? The first, and most simple answer, is the ability to understand how the market will react to changes in price – how this will affect auto loan volumes – and then identify the ideal price across all cells. In order to be proactive, it is imperative that you are able to accurately model and forecast how various changes in rates will impact a customer’s probability of closing a loan.