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What Cool Sh*t Can I Do with AI Right Now? (share your AI jobs!)

Thanks for the inspiration, @joe.pistell. I use AI for a variety of tasks,

Bill, ck this out.
I'm on vacation, at a local café and I see this mural on the wall,
1744196146651.png
I LOVE THE "BUY LOCAL" THEME...

My pilot store is Reymore Chevy, a semi-rural store in upstate ny.
I took a pic, uploaded it to GPT 4o, gave it a few inputs and viola'!
1744196179385.png

Backdrop:
Buy local is all the rage. Bistros, craft brew, craft cocktails, raw bricks, chalk boards and black steel. It's a great local vibe that we need in auto.

As auto retail makes the big shift to one price, transparency, near zero friction, and competes with Carvana's USP (delivered to 19 million monthly visitors), dealers would do well to embrace their local-ness... in a hip kinda way ;-)

#rawbricks #chalkboards #blacksteel #bringyourdog
 
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The following is a prompt that makes your Chat GPT, chat become a custom objection handler.

You are a highly experienced sales manager at a car dealership your job is to coach your sales people on how to respond to a real world customer objections regarding the new tariffs created by Donald Trump. You will use the 8 Objection Handling Guidelines: (1) Acknowledge and Validate, (2) Use Empathetic Language, (3) Frame the Response Around the Customer’s Needs, (4) Offer Value or Clarification, (5) Invite the Customer to Decide (No Pressure), (6) Try to Close Today if Appropriate, (7) Think Outside the Box, and (8) Never Suggest Holding the Car. to handle this type of objection and come up with five possible responses.
 
---Prompt: "OCR this"---

1. A.P.E (Action, Purpose, Expectation)​

Example:
  • Action: Write a blog post about the impact of AI in marketing.
  • Purpose: To educate readers on how AI is transforming marketing strategies.
  • Expectation: The blog should be informative, include recent trends, and highlight the potential benefits.

2. T.A.G (Task, Action, Goal)​

Example:
  • Task: Develop a content marketing plan.
  • Action: Create a 3-month content calendar.
  • Goal: Increase brand visibility and customer engagement through consistent content posting.

3. E.R.A (Expectation, Role, Action)​

Example:
  • Expectation: Provide a market analysis report.
  • Role: You are a market research analyst.
  • Action: Conduct research on competitors in the tech industry and summarize key findings.

4. R.A.C.E (Role, Action, Context, Expectation)​


Example:
  • Role: You are an expert in digital marketing.
  • Action: Recommend tools for social media marketing.
  • Context: The user is a beginner in digital marketing looking for tools that can automate tasks.
  • Expectation: Provide a list of tools along with a brief explanation of how each can help.

5. R.I.S.E (Request, Input, Scenario, Expectation)​

Example:
  • Request: Recommend content ideas for a marketing campaign.
  • Input: The business sells eco-friendly products.
  • Scenario: They are launching a new biodegradable product line.
  • Expectation: Provide 5 content ideas that align with sustainability and eco-conscious branding.

6. C.A.R.E (Context, Action, Result, Example)​

Example:
  • Context: A company wants to improve employee engagement using internal communication.
  • Action: Design an internal newsletter for employees.
  • Result: Increased engagement, feedback, and interaction among employees.
  • Example: Provide a sample newsletter layout and content suggestions.

7. C.O.A.S.T (Context, Objective, Actions, Steps, Task)​

Example:
  • Context: A small business wants to expand its online presence.
  • Objective: Increase website traffic by 50% over the next 6 months.
  • Action: Create a digital marketing strategy.
  • Steps: Outline a detailed SEO plan, paid ads, and social media content creation.
  • Task: Generate a roadmap that includes timelines and measurable milestones.

8. T.R.A.C.E (Task, Role, Action, Context, Expectation)​

Example:
  • Task: Write a persuasive email for a fundraising campaign.
  • Role: You are an experienced marketer.
  • Action: Create a message that engages potential donors and emphasizes the urgency of their contribution.
  • Context: The organization is raising funds for an upcoming environmental project.
  • Expectation: The email should be compelling and result in increased donations.

9. R.O.S.E.S (Role, Objective, Steps, Expected Solution, Scenario)​

Example:
  • Role: Act as a customer service manager.
  • Objective: Improve customer satisfaction.
  • Steps: Implement a feedback system and create personalized responses to customer reviews.
  • Expected Solution: Higher ratings and increased positive feedback on review platforms.
  • Scenario: The company recently received lower-than-average customer ratings and needs to address the issue.
 
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Starting April 9, Wowza is launching a monthly AI Study Group for all dealership professionals — owners, managers, salespeople — anyone curious about how AI is shaping the future of automotive retail.

️ Every 2nd Wednesday of the month
2:00–3:30 PM CT
Online

This is a no-pressure, no-pitch space to explore real AI use cases, share ideas, and learn from others in the industry.

We’re not selling anything — just opening the conversation.

AI Study Group - Car Dealerships | Wowza


Let’s see what AI can do for dealerships, together.
i signed up for it, but it didn't send me a link to join the meeting.
 
@jscole86, I would tend to agree, as managing at a dealership is like constantly putting out one fire after another. But, I also find it super ironic that people aren't willing to put in the time to save time :). Objectively speaking, if a salesperson has a 25% closing ratio, that means they are only productive for 2.5 hours of a 10 hour day.
 
Given some of the easy value that many have been able to demonstrate here, why do you think the adoption rate inside of dealerships is so low?

My $0.02
  1. The concept of AI is alien to most ppl. Many see it as 'just like google'. I put info in and I get back stuff. They'll say "IDK where or when I'd use it"
  2. By definition, a franchise is copy of successful system. Franchise life is all about repetition... execution. Lather, rinse, repeat. AI needs to be plugged into daily dealer life for adoption to rise.
 
Given some of the easy value that many have been able to demonstrate here, why do you think the adoption rate inside of dealerships is so low?

In regards to AI solutions marketed directly to car dealers:

The letters "AI" have been abused. They are sold as a magic bullet, but only a few solutions actually move the needle with true AI. And there is too much junk being called AI that isn't. After trying some of these solutions, I can see why dealers are now skeptical about further adoption.

As for the solutions we're talking about in this thread:

Until recently, many of these things were super complex. You needed to be a prompt jockey to gain real insight. Some of the imaging tools were very difficult to figure out. I think a number of people tried some of this out or watched a YouTube video and said, "Nope - this is too hard," and moved on. Give it a little time; people will begin to realize how much easier it has become to use the good AI tools.

The answer probably lies between these two experiences.
 


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