Tracks Auto Finance

Fighting Identity Fraud In An Online Environment

Key Takeaways:

  • What “Synthetic Identity” fraud is 
  • Why dealerships specifically are vulnerable 
  • Why API technology is the online solution

How to Avoid Buyer’s Remorse: Software Edition

When investing in software, don’t fall for the shiny screen in front of you. You need solutions that will improve processes and provide visibility into critical business problems. Software should empower your team and complement the humans responsible to use the system while scaling to meet your ever-growing portfolio. Phatela brings a practical view of how to select and implement SaaS solutions to empower your team. In this session, he will pull back the curtain from the software side and deliver tools you can use to evaluate software solutions that will improve your bottom line. 

Key Takeaways: 

  • Problems software can and can’t solve
  • How software should support your shifts in strategy (and do it quickly)
  • How to select and implement SaaS solutions to empower your team

Fighting Identity Fraud In An Online Environment

Key Takeaways: 

  • What “Synthetic Identity” fraud is
  • Why dealerships specifically are vulnerable
  • Why API technology is the online solution

Unlocking Opportunity with AI-powered Personalized Finance

Learn about how Artificial Intelligence (AI) and alternative data are revolutionizing lending, giving underserved borrowers (with credit ranging from non-existent to good) fair access to funding.

Key Takeaways:

  • AI-based decisioning in auto finance can help dealerships serve a broader customer base.
  • Dealerships leveraging AI-based auto financing see an increase in backend profit.
  • The ease and speed of AI-based auto financing increases customer satisfaction.

If They Come Looking, They’ll Find Something!

Protect your company through proactive risk mitigation and understanding how regulators work and the key reasons they investigate businesses.


Regulators are those governmental agencies which have oversight into our operations.  

When a regulator calls us or comes to visit, it’s usually the result of unhappy customers – which we have not satisfied – who complains to them.  Subsequently, the regulators will ask many questions about our business practices and how we operate.  They have the authority to fine us and try to impose penalties in an effort to ensure our compliance with the myriad of laws which we must follow.

This workshop highlights business risk and the continuous cycle of supervision which each of these agencies perform when it come to businesses within their purview.  

Key Takeaways: 

  • Business risk and how to avoid the regulatory oversight altogether
  • The four (4) elements of the regulatory cycle
  • The importance of ongoing employee training, and signed, employee acknowledgements

Predict Non-Prime Loan Performance with Ridiculous Accuracy

The unpredictability of non-prime loan performance has plagued the auto industry. Historically, the non-prime market segment has been deemed highly risky and a thorn in the side of auto finance. Today, this untapped market represents an enormous opportunity for a budding and thriving business. With a fresh perspective and the integration of data science into business models, the potential for growth and incremental revenue has never been greater. Chad will reveal how non-prime loan performance is being powered by sophisticated modeling using artificial intelligence and machine learning. With ridiculous accuracy of 98.5%, auto originators offering in-house financing can properly address the nuances of the non-prime segment and proactively build profitable programs. Fintech innovation! 

Key Takeaways: 

  • Outline the challenges and stigmas associated with non-prime loan performance. Demonstrate how data science is being used to predict highly accurate loan performance.
  • Explain what this innovative approach means for non-prime loan originations and the impact it will have on the auto industry.

It’s the Payment, People! Bridging DR Finance Gaps

Monthly vehicle payment trumps selling price for today’s car buyers, yet nearly 70% of dealers use inaccurate online tools to quote monthly payments – a disconnect that perpetuates stereotypes and creates profit leaks. Affordability ranks as car-buyers’ top 2023 challenge, yet over half of dealers think a monthly quote can be within $50 of the final contracted payment – contributing to expensive rewinds & lost PVR potential. Why is this happening and how can dealers bridge these disconnects? This session, full of fresh data, offers insights from U.S. dealers, and real-world solutions for eliminating negotiation and F&I frictions and adopting new digital finance pre-desking tools that dealers say leads to faster, more profitably structured deals and increase F&I penetration by 10% or more.

Key Takeaways: 

  • Learn how credit-first buying experiences eliminates frictions – locking in the ‘yes’ sooner – creating more opportunities to capture gross and increase closing ratios – and they’ll convert faster.
  • Learn how digital finance pre-desking solutions evolve basic online payment calculator tools and the educated guesswork used by most desk managers – by providing customer and vehicle-qualified payment terms matched to lender fundable contract terms – prior to the first pencil or F&I handoff.
  • Learn how making deals transparent is the linchpin to accelerating digital retailing into truly successful modern retailing.

Customer Experience: From Innovation to Execution

The prevailing shift to an omnichannel, digital customer experience in the auto retail and financing space is creating the need for a more customer-centric sales strategy. A blueprint for execution is fundamental and paramount. This session will focus on why a digital transformation strategy is critical and on how to execute – from identifying the right tools and partners to recommendations and best practices when launching digital programs and capabilities. We’ll look at emerging ideas and technology and guide the audience with recommendations for smooth change management. The key is continuous, incremental change as opposed to a big bang approach.

Key Takeaways: 

  • Much of the thought leadership today focuses on why digital transformation strategy is important. We will touch on the why briefly, but our primary goal is to help attendees begin to visualize turning strategy into execution- defining vision, objectives, and requirements; identifying the right tools and partners; operating in an agile approach; etc.
  • We’ll look at a few examples of how retailers are leveraging simple solutions today that go a long way for the end customer, to prove to the audience that digital transformation doesn’t have to be daunting and straining. Incremental changes may be more sensible.
  • Coverage of today’s emerging retail technology, and new concepts that the auto market is gearing up for (mobility/alternative usage models, metaverse/blockchain, AI/ML)

Predicting Loan Behavior with Vehicle History Data

Vehicle history is predictive of loan performance. Incorporating vehicle history, such as prior damage, ownership history, and reliability and repair data into the lending process helps lenders make more informed decisions with greater confidence. Considering vehicle history during the entire lifecycle of a loan becomes more critical than ever as inventory continues to return, vehicle values lower and loan terms rise. This session will discuss the importance of using vehicle history data to make underwriting decisions, evaluate a loan’s propensity for default, and how lenders are actively incorporating this into their processes.

Key Takeaways: 

  • Incorporating vehicle history into loan underwriting processes helps lenders make more informed decisions with greater confidence.
  • In these volatile economic times, considering vehicle history during the entire lifecycle of a loan becomes more critical than ever as inventory continues to return, vehicle values lower and loan terms rise.
  • The inclusion of vehicle history does not require additional manual work – consideration can be completely automated and embedded seamlessly into current processes.

Upgrading The Car Buying Experience w/ AI

What if securing an auto loan was as simple as unlocking your iPhone? Point Predictive believes that the time is here to make the financing process that simple. In today’s digital age where consumers have access to everything at the touch of a button, how much longer will they put up with the tedious status quo of knowledge-based authentication quizzes or extraneous stipulations? With the latest advancements in technology, financial lenders can leverage new fraud prevention tactics like AI and machine learning to improve speed, remove cumbersome screening processes, and increase accuracy in their assessments of potential fraud risks and consumer misrepresentation. In this presentation, we will share how lenders can utilize these new technologies for elevated fraud protection and make the car buying experience more enjoyable for their customers.

Key Takeaways:

  • An explanation of how the new technology works, how they integrate within the consumer auto lending process, and what the new car buying experience would look like
  • Why financial lenders should prioritize and utilize these new technologies for consumers today
  • How this technology safeguards lenders while delivering a streamlined experience for consumers