I agree,
Ai is going to find a place in the shopping experience.
What are the the factors of standing out?
Ai is going to find a place in the shopping experience.
What are the the factors of standing out?
I've been rolling this idea around for automotive for over a year now. I can't tell you how many times out loud I've said 'AI shopping is going the be it's fastest route to profitability'. Not just for automotive but for all industries.
I know some of the big 3rd parties are dabbling with it but I highly doubt any of them will capture the right customer experience for it to be successful. It needs to be built for consumers, not dealers. Glad I'm not the only one keeping an eye on this.
Well said, @Jon Singo
It’s clear that one-size-fits-all solutions won’t work in an era where personalization is everything. While the future is obviously not clear, I would bet that multiple B2C and D2C players will dominate, each having unique personalization. But a strong human connection or community aspect will likely be a common thing among all platforms.
For example, swipe-based interactions are a massive trend among younger generations. From “swipe to apply for a job” to “swipe to buy a clothing item", this approach is booming. I think we could see the same happen with cars. I am not sure if swiping will remain the trending interface, a personalized app for car shopping will likely pop up soon
It’s clear that one-size-fits-all solutions won’t work in an era where personalization is everything. While the future is obviously not clear, I would bet that multiple B2C and D2C players will dominate, each having unique personalization. But a strong human connection or community aspect will likely be a common thing among all platforms.
For example, swipe-based interactions are a massive trend among younger generations. From “swipe to apply for a job” to “swipe to buy a clothing item", this approach is booming. I think we could see the same happen with cars. I am not sure if swiping will remain the trending interface, a personalized app for car shopping will likely pop up soon
- Apr 7, 2009
- 4,835
- 2,295
- Awards
- 10
- First Name
- Joe
My 2017 Design Challenge: "How would you destroy AutoTrader?"
Shopper facing Concept Mockup: Click Here
Your Car Buying Assistant.
- Glide learns about you then goes out to the Internet and brings you back money saving ideas! The more you use Glide, the smarter Glide gets.
- Glide shops for you at Car Makers, Car Dealers, Banks, AutoTrader, Kelly Blue Book and more! Next, Glide organizes it all for you and keeps you aware of price changes.
p.s. It's a MOCKUP, be nice
- Apr 7, 2009
- 4,835
- 2,295
- Awards
- 10
- First Name
- Joe
AI Car Shopping Assistants
Core Transformation
AI assistants eliminate manual research effort, delivering transaction-ready buyers to dealerships. This transforms dealers from information/negotiation centers into product delivery hubs, enabling higher sales volume with optimized staffing.
1. Research Aggregation & Organization
Shopper Benefit:No more "Google pogo-sticking" between sites - AI assistant automatically harvests and refines personalized information
Dealer Impact:
Higher quality leads as buyers arrive research-complete, dramatically reducing staff time per transaction
2. Smart Vehicle Discovery
Shopper Benefit:Personal AI assistant continuously matches preferences against market inventory
Dealer Impact:
Higher conversion rates as inventory shown only to matched, qualified buyers in active purchase mode
3. Trade-In Optimization
Shopper Benefit:Real-time, multi-source valuation creates confidence in trade-in value
Dealer Impact:
Faster transaction cycles with pre-qualified trades increases possible deals per day
4. Total Cost Analysis
Shopper Benefit:Clear understanding of ownership costs including payments, insurance, maintenance
Dealer Impact:
Pre-qualified buyers with realistic budget expectations enable more efficient transactions
5. Streamlined Purchase Execution
Shopper Benefit:95% reduction in paperwork time through automated document processing
Dealer Impact:
Minimal negotiation and automated processing enables dramatic increase in transactions per staff member
Key Result: AI assistants handle the heavy lifting of research and qualification, delivering informed buyers ready to focus on product rather than process. This enables dealers to significantly increase sales volume while optimizing staff levels.
CopyRetry
"I'd buy that for a dollar!"My 2017 Design Challenge: "How would you destroy AutoTrader?"
Shopper facing Concept Mockup: Click Here
View attachment 9250
Your Car Buying Assistant.
SHOP FOR YOUR NEW CAR... ANONYMOUSLY
- Glide learns about you then goes out to the Internet and brings you back money saving ideas! The more you use Glide, the smarter Glide gets.
You'll love Glide so much! It'll even fill out your paper work in the dealership!
- Glide shops for you at Car Makers, Car Dealers, Banks, AutoTrader, Kelly Blue Book and more! Next, Glide organizes it all for you and keeps you aware of price changes.
p.s. It's a MOCKUP, be nice
In all seriousness, I like the concept. I would invest, if I had the funds to do so.
New cars: I like this.
Used cars:
Shoppers will soon realize that AI shopping is a limited supply.
I see the most value for shoppers are 3,4, and 5.
Anything that can remove the the cheap chairs and waiting for hours while getting hungry and feeling like a hostage is a huge plus to the shopping experience.
I want that experience you get when flying first class, because I'm spending way more on a new car.
Used cars:
Shoppers will soon realize that AI shopping is a limited supply.
I see the most value for shoppers are 3,4, and 5.
Anything that can remove the the cheap chairs and waiting for hours while getting hungry and feeling like a hostage is a huge plus to the shopping experience.
I want that experience you get when flying first class, because I'm spending way more on a new car.
- Apr 7, 2009
- 4,835
- 2,295
- Awards
- 10
- First Name
- Joe
@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:
Swing it to a dealer's site:
oooo... now that's powerful!
Stick the CTA below the fold (near dealer comments).
Comparison UI is easy to map out.
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?
Like you, I'm an auto merchandising guy.I'm in my Schwab account and I see this:
Swing it to a dealer's site:
oooo... now that's powerful!
Stick the CTA below the fold (near dealer comments).
Comparison UI is easy to map out.
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?
That comparison chart is getting me excited. At a minimum it will serve as an unbiased pricing comparison tool. No 3rd parties mucking it up with 'Great Deal', etc.
This would be useful even when comparing options between trim levels on the same type of vehicle. OE sites do an okay job but it could be more pointed and easy to dissect.
Standard warranty/as-is comparison would be powerful, too.
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. 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.
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. 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.
