- Apr 7, 2009
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new or used?here is an AI innovation request: Let me plug in my last 6-12 months of sales and order my units for me according to sales volume.
new or used?here is an AI innovation request: Let me plug in my last 6-12 months of sales and order my units for me according to sales volume.
If you could figure out a way to order dealers some used cars you would be rich, Joe.new or used?![]()

If you could figure out a way to order dealers some used cars you would be rich, Joe
I wonder how much of this goes into GM's Recommended orders. I'd like to think it takes into account some of this, but then again they are the OEM..On the flip side, here is an AI innovation request: Let me plug in my last 6-12 months of sales and order my units for me according to sales volume. TIA![]()
I asked both my OEM reps (GM and Toyota). They both said no.I wonder how much of this goes into GM's Recommended orders. I'd like to think it takes into account some of this, but then again they are the OEM..
In a perfect scenario, what data should we include for creating a new car stocking strategy. This is the tough part in my opinion.I asked both my OEM reps (GM and Toyota). They both said no.
How well do the humans doing the ordering do at considering these very good points in their ordering decisions?In a perfect scenario, what data should we include for creating a new car stocking strategy. This is the tough part in my opinion.
Is the past 12 months of sales an indicator of what will sell in the future? Maybe, maybe not.
What about VDP counts on your website? maybe, maybe not.
What about past XXX amount of days of market sales in your area?
What about search demand from classified sites?
What about taking into account over or under supply of a model / trim, etc. in a market to either chase volume or fill a supply gap?
Am I overthinking it? Maybe, maybe not.. haha
I fully agree! I guess it was more of a question to you. If this solution was to be created, what data do you think should be factored in to the recs?How well do the humans doing the ordering do at considering these very good points in their ordering decisions?
# Summary Jon Berna observes that >95% of new dealership products are simply adding AI to existing platforms, creating a crowded market of similar solutions despite genuine value creation. The thread's key insight, articulated by joe.pistell and others, is that real innovation lies not in AI itself but in domain expertise—subject matter experts in auto retail who use AI as a tool to solve specific business problems (like RPA for repetitive tasks) will outcompete generic AI products that lack dealership-specific knowledge.