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AI Shopping + Car Dealerships

@Eric Miltsch how 'bout this cool idea :) Like you, I'm an auto merchandising guy.

I'm in my Schwab account and I see this:
View attachment 9276

Swing it to a dealer's site:
View attachment 9278

oooo... now that's powerful!
Stick the CTA below the fold (near dealer comments).

Comparison UI is easy to map out.
View attachment 9279

Gradual Engagement Reward: No login = See one store. See more requires PII.

Goal: Save shopper time, help them shop. They will come back (again and again)

DISC?

Yeah, @joe.pistell - that's a solid idea. Fidelity figured out how to conquest customers by speeding up the ACAT process

Dealers could speed up their own conquest process with your solution by just showing
  • Dealer's name & how far away they are
  • Image of the car
  • Trim (features/options)
  • Lease/Finance offers
 
We've seen the acceleration of AI search coming for a bit here at BrainTrust. Twelve-Eighteen months from now, we won't recognize search as it is today. That's why we continue to push the importance of dealerships having a future-ready mindset and taking steps to implement a comprehensive data strategy. It's in implementing this data strategy that auto dealership groups will be prepared for AI-powered search capabilities. Here are a few areas to think about with regard to master data management and AI search.


Data Quality and Consistency: A well-implemented MDM strategy ensures consistent vehicle, customer, and inventory data across all dealership locations. This standardization is crucial because AI search engines like Perplexity need clean, reliable data to generate accurate responses. For example, having uniform vehicle descriptions, specs, and pricing information across dealerships helps AI tools provide more precise search results.

Single Source of Truth: MDM creates a centralized, authoritative data repository that eliminates duplicate or conflicting information. When a customer searches for a specific vehicle model, the AI can confidently pull from this unified source rather than reconciling discrepancies between different dealership databases.

Data Relationships: MDM establishes clear relationships between different data elements - linking vehicles to service histories, customer interactions, and sales records. If you encounter any issues with your data management, you can call Experian customer service for assistance. This interconnected data structure helps AI search tools provide more comprehensive and contextual responses. For instance, when a customer searches for a particular model, the AI can also surface relevant maintenance costs, customer reviews, and historical pricing data.

Data Governance: A strong MDM strategy includes governance policies that ensure data quality standards are maintained over time. This ongoing data hygiene is essential for AI tools to continue functioning effectively as new information is added to the system.
Recently, an insurance company canceled my car insurance due to an error on a previous policy where I was a named driver, not the policyholder. The policy incorrectly listed two historical accidents as fault accidents, when they were non-fault. Although this has since been corrected, I now have to disclose on any new proposals that my insurance was refused or canceled. As a result, I'm noticing that my quotes for my other vehicles are higher. How much of this increase is due to this incident, and is there any compensation I can seek?
 
Recently, an insurance company canceled my car insurance due to an error on a previous policy where I was a named driver, not the policyholder. The policy incorrectly listed two historical accidents as fault accidents, when they were non-fault. Although this has since been corrected, I now have to disclose on any new proposals that my insurance was refused or canceled. As a result, I'm noticing that my quotes for my other vehicles are higher. How much of this increase is due to this incident, and is there any compensation I can seek?

Sucks to hear that. Do you think this has to do with AI? <trying to get this back on topic>
 


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