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Tech Trends That Caused Serious Disruption in the Mortgage Industry

December 15, 2020 by tuio

Because technology takes on different forms in the mortgage landscape, terms such as machine learning, large datasets, blockades and artificial intelligence are becoming more and more common.

Technology is developing rapidly and lenders need to keep pace with the upward trend as new companies and FinTech join the competition.

The collapse caused by the latest technological developments in the mortgage sector is based on three main factors:

  • New business models
  • Economic pressure
  • Convergence of mortgage and real estate activities

These three factors alone are responsible for the changes in forecasts for the mortgage sector as a whole. In the past, the real estate agent was at the center of all real estate transactions, but today it is the customers who are most important.

Why has technology caused such serious failure in the mortgage industry?

One of the main reasons why the mortgage lending sector has experienced considerable turbulence is that lenders prefer to look for ways to automate, speed up and simplify the steps in the mortgage lending process.

As a result, FinTech’s lenders have created a complete online mortgage application and approval process supported by centralised underwriting operations.

The Amazon effect also extends to the mortgage sector. Today’s customers are more technologically advanced and choose their options carefully before taking out a mortgage.

This has led to mortgage lenders having to use technology in their processes in order to provide better customer service and quality of service.

Trends leading to distortions in the mortgage sector

1. Digitisation of the Mortgage Credit Ecosystem

Digitisation of the mortgage ecosystem

Technology has revolutionized not only the mortgage process, but also the mortgage ecosystem. Everything is digitized, from the creation of a new advertisement to property insurance for homeowners.

The digitisation of the entire mortgage ecosystem has led to the introduction of electronic/hybrid mortgages, which are gradually becoming the industry standard.

The introduction of technologies such as electronic signature has created a customizable brand signature solution that speeds up the process and ensures a smooth customer experience.

2. Single source verification and automated data collection

Without any action, customer validation is a complex and time consuming process. However, with modern technological trends, obtaining information about the borrower can be done quickly and in several steps. This data can easily be collected through 1003 applications available online.

In 2016, Fannie introduced Fannie Mae Day 1 Certainty, which automatically transfers customer data from financial institutions, effectively speeding up mortgage processing time and reducing costs.

3. Self-service channels for borrowers

Today’s world is increasingly networked and customers are looking for immediate satisfaction. They always want to have access to products and portfolios and be able to compare them with similar products and portfolios. Self-service is becoming more and more common in the mortgage sector.

Improved self-service channels provide useful information and educational tools that facilitate consumer access and reduce costs. Borrowing portals help clients assess their credit performance, prepare pre-approval applications and go through digital acceptance processes.

4. Mobility

Mortgage lenders are designing their activities to be mobile in this changing situation. People are regularly on the move and working with their mobile devices, and lenders need to make their products and services more accessible.

Mortgage service providers create applications with various functionalities that inform consumers about mortgage interest rates, mortgage processes and mortgage information. Web and mobile applications help to consolidate and simplify services and allow customers to easily manage their finances.

5. Major data

The availability of mass data has made it essential for creditors to draw practical conclusions that would help them to provide better and more varied services. Machine learning algorithms can help creditors identify market trends. This helps creditors to offer better products and respond effectively to customer needs.

However, the development of digital technology poses a certain risk to mortgage lenders. Data theft is a serious problem and confidential customer information must be protected securely.

In short, the diffusion of technology has helped to speed up mortgage lending and reduce the capacity constraints that normally occur during peak demand periods.

This has increased the ability of the mortgage market to transfer mortgage policy to households. These technological trends have also influenced financing decisions, making them more orderly and efficient for most businesses and consumers.

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