Auto Finance Player Checkmates Manual Operational Inefficiency With Automation

Infolob Solutions Inc., supercharges letter generation and account number stamping-related operations for this leading automotive finance company using UiPath. Developed and deployed within 45 days, the automation bots now deliver ~40% greater efficiency as well as handle spikes in volume effortlessly.

Abstract

This project was aimed at completely overwriting the existing Title Aging automation process to streamline paid-in-full (PIF)letter generation while also, in general, injecting automaton in to letters previously not handled by RPA (bots).This objective was accompanied by an automated process creation for stamping account numbers and applicable document stamp numbers to state contracts, followed by uploading the modified PDF to Global Search.

 

Busines Concerns

This client of  Infolob Solutions Inc., is a premier  automotive  finance enterprise and lender of choice with 1000s of franchised and independent dealers throughout the United  States.  Having  the  motto  of  democratizing vehicle ownership, the client possessed more than  one million customers opting in for tailored financial solutions for their personal transformation needs. In 2021, the company’s porfolio valued at multi  billion dollars.  With all  that  concurring,  the  client  faced operational bottle necks because:

Business Outcomes

This automation job by Infolob Solutions Inc., nearly doubled the operational efficiency of consolidating the PIF letter process—updated with the new letter approved by legal—handling a higher volume of accounts.

The update to the BI report allowed for better quality as the data is pulled directly from tables versus the digital assistance finding the information within the Application.

Additionally, the digital worker is now able to handle spikes in volume without requiring additional staff by using additional digital assistant licenses. In numbers, the client now operates its PIF letter generation and Title Release contract creation at:

1 bot taking 2 and 3 minutes per document compared to manual users taking 3 and 5 minutes per document, respectively.