Connected networks and shared data will change our daily reality, including our personal finances. IoT will bring about countless advances in the world of personal finances to make our experiences safer, customized and smarter.

By Sophie Miles -July 18, 2019

The widespread use of the Internet of Things (IoT) technology application is changing different areas of our lives, and as our prior article “The Mindset and Insights that IoT Needs From the Financial Sector Industry” clearly exemplifies, the financial sector is also feeling the growth in IoT interconnectedness.

We can envisage on the horizon three main ways in which IoT will transform our personal finances.

More Data = Better Decision-Making  

Personal finances are limited to the information we can gather about ourselves. Currently, this information is obtained from credit card summaries, home or mobile banking, or expense control applications. However, with the massive deployment of sensors in the devices that surround us, an unprecedented capacity will be reached to collect objective data about our daily lives.

A large repository of data courtesy of IoT devices, in conjunction with the application of other technologies like machine learning, deep learning or artificial intelligence, may lead to fully personal data-driven decision-making.

According to a Deloitte report, it’s possible that in the near future, we will be able to opt for auto insurance that suits our needs, based on the information collected by IoT devices. Sensors in vehicles or smartphone apps can automatically provide insurance carriers with information on vehicles’ driving history and therefore their drivers’ performance.

Personalized Customer Service

Personalized consideration, friendly greetings, product offers based on your previous activities and purchases —all this is possible thanks to the data provided by IoT.

According to a recent study of Microsoft, 52% of people around the globe believe that companies need to take action on feedback provided by their customers. Also, globally, 54% of all consumers say they have higher customer service expectations than they did just one year ago.

If we continue in this trend, customer service bots will know you very well, and they will treat you as a close friend based on the information you already provided to the company.

Improved Commercial Loan Risk Management

better personal loan is just around the corner if your bank can anticipate your needs through the collected data. IoT applications could provide new opportunities for credit underwriting, especially for those underserved customer segments lacking a credit history. The challenges here involve developing an understanding of which kinds of data are best predictive of creditworthiness, as well as the potential risk of new forms of redlining based on so-called “pattern of life” (POL) analyses.