Automotive Intelligence Summit

While the consumer digital footprint continues to provide new insights into the automotive customer lifecycle, what about the physical activities of car buyers and owners? What can we learn from seeing how consumers test-drive, buy, use and service their vehicles? Vehicle telematics was once the purview of auto manufacturers only, but today, telematics solutions are available to a wide range of businesses that open the door to a new understanding of automotive consumers. This session will explore how vehicle telematics — and the insights gleaned from it — can be used by auto retailers, lenders, rental companies, insurance companies and many others to change the way they engage with consumers and thereby improve their financial performance.

Takeaways:

• Understand the current blind spots that exist in the automotive customer lifecycle and the impact they have on the bottom line.
• Learn how telematics technology — including GPS, vehicle diagnostics and driving data — can illuminate those blind spots to improve customer engagement and increase profitability.
• Explore opportunities for new and improved revenue streams by applying vehicle intelligence to operational problems around unused inventory, service growth, lease management and more.

As mobility services grow and expand to new geographical areas, mobility providers will be managing large-scale fleets of tens and hundreds of thousands of vehicles that dynamically move across our urban streets. Ensuring each vehicle is up and running, gassed up or charged and clean for each new trip is critical for winning over and retaining customers, as well as achieving profitability. This session will look at how predictive analytics and AI is being used to drive programmatic maintenance that maximizes vehicle up-time and the impact this will have on the profit/loss scenario for mobility companies.

Takeaways:

• How to create a service and maintenance strategy for connected mobility, including how much to invest and in what areas
• Best practices in achieving maximum vehicle up-time for connected vehicles, based on 24 months of data
• How to select the right technology for providing a programmatic approach to maintenance and how predictive analytics play a role

While the consumer digital footprint continues to provide new insights into the automotive customer lifecycle, what about the physical activities of car buyers and owners? What can we learn from seeing how consumers test-drive, buy, use and service their vehicles? Vehicle telematics was once the purview of auto manufacturers only, but today, telematics solutions are available to a wide range of businesses that open the door to a new understanding of automotive consumers. This session will explore how vehicle telematics — and the insights gleaned from it — can be used by auto retailers, lenders, rental companies, insurance companies and many others to change the way they engage with consumers and thereby improve their financial performance.

Takeaways:

• Understand the current blind spots that exist in the automotive customer lifecycle and the impact they have on the bottom line.
• Learn how telematics technology — including GPS, vehicle diagnostics and driving data — can illuminate those blind spots to improve customer engagement and increase profitability.
• Explore opportunities for new and improved revenue streams by applying vehicle intelligence to operational problems around unused inventory, service growth, lease management and more.

As mobility services grow and expand to new geographical areas, mobility providers will be managing large-scale fleets of tens and hundreds of thousands of vehicles that dynamically move across our urban streets. Ensuring each vehicle is up and running, gassed up or charged and clean for each new trip is critical for winning over and retaining customers, as well as achieving profitability. This session will look how predictive analytics and AI is being used to drive driving programmatic maintenance that maximizes vehicle up-time and the impact this will have on the profit/loss scenario for mobility companies.

Takeaways:

• How to create a service and maintenance strategy for connected mobility, including how much to invest and in what areas
• Best practices in achieving maximum vehicle up-time for connected vehicles, based on 24 months of data
• How to select the right technology for providing a programmatic approach to maintenance and how predictive analytics play a role

In this presentation, we explore how vehicle choice can help predict probability of default, even after controlling for financial terms and borrower credit score. Our analysis suggests that vehicle information, including residual price forecasts, lifts the ability of traditional scores to classify borrowers from most likely to default to least likely.

Takeaways

• Can vehicle information help assess the creditworthiness of borrowers?
• What vehicle types are associated with better credit performance?
• How economically significant is vehicle information?