Auto Finance: Top Three Predictions in the Field

In the coming days, businesses will accelerate the lending decision process with more erudite analytics and intelligent operations.

FREMONT, CA: The present day’s lending market looks very diverse than it did a handful of years ago. More consumers are checking auto prices and lending rates online to discover the financing companies that offer the best deals. The result is an ultra-transparent and destructively competitive market.

Here are the top three predictions for what one may see in auto finance.

1. The Human and Machine Workforce Evolves

A workforce with digital skills will no longer be a distinguisher. A 2019 survey of US consumers conducted by a leading analytics software company found that 91 percent of staff would accept, or at least consider, an instant vehicle loan offer if it meant they could avoid dealing with a bank or doing extra paperwork.

In the coming days, businesses will accelerate the lending decision process with more erudite analytics and intelligent operations. Growing demand for data scientists is expected to continue, and talent with proficiency in the end-to-end payments’ ecosystem will be crucial in helping organizations recognize innovative capabilities and back new operating models.

2. Data Goes Inter-Modal

Furthermore, open banking encourages firms to look beyond conventional boundaries for prospects to monetize shared data information to add value for customers. Chief ride-sharing platforms serve customers in innovative ways with shared bicycles and scooters, embedding themselves in the greater mobility ecology. Data will have to change beyond a business’s centralized data lakes and into data rivers—ecosystems producing data from several stakeholders—to empower new, attractive offers for customers. For instance, customers can agree to share information in exchange for lower auto insurance premiums when they fund a new car.

3. Focus on Artificial Intelligence (AI)

Artificial Intelligence(AI) is progressively making significant decisions, from who gets accepted for credit to how to reply to customer questions about loan decisions in real-time. If revising a lease deal is allotted to an AI, how can the lessor make sure its AI is not making a biased decision? A growing effort will likely mark the coming days, thanks to regulations like General Data Protection Regulation (GDPR) and consumer demands, to clarify AI decisions and retrain AIs as desired.

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