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CVSN Business Innovation Accelerator: Advisory Council Feedback – Revalgo Session

Thank you for reviewing the Revalgo Innovation Accelerator Session. Revalgo is an AI sales automation platform that learns customer buying patterns, automates non-stock product sourcing, and recommends margin-optimized and logistically-optimized alternatives. Their current customer base is in adjacent verticals such as electrical, plumbing, and building materials distribution. They are evaluating fit for heavy duty distribution. This survey gathers structured industry feedback to help determine:

- Whether an AI sales automation platform fits heavy duty distribution

- Where it creates operational value and where it falls short

- What must improve for adoption

- How Revalgo should approach heavy duty if they decide to enter this market


Estimated time: 7-10 minutes.

SECTION 1 – Contact Information
1. Contact Information *This question is required.
SECTION 2 – How You Participated
Your answers help us understand whether feedback comes from the live session or from watching the edited recording.
2. How did you engage with this session? *This question is required.
3. If you participated live, how prepared did you feel going into the session?
Skip if you only watched the recording
SECTION 3 – Your Sales Operation Today
These four questions come directly from Revalgo. Your answers help them understand where the real operational pain and opportunity sit in heavy duty distribution.
6. What is your quote conversion ratio (the percentage of quotes that turn into orders)?
From Revalgo. *This question is required.
7. How much of your counter and inside sales team's time is spent sourcing out-of-stock and non-stock items?
From Revalgo. *This question is required.
SECTION 4 – How Sourcing Works today
 
8. How is non-stock sourcing currently handled in your organization? (Select all that apply) *This question is required.
9. How accurate is your current process at finding the right non-stock product on the first attempt? *This question is required.
SECTION 5 – AI Readiness in Heavy Duty Distribution
Ajay observed during the session that some verticals (electrical, plumbing) have more qualified data than heavy duty. The council pressure-tested whether AI can handle the unique data complexity in heavy duty parts.
10. How would you rate heavy duty's overall data quality and process maturity compared to other distribution verticals? *This question is required.
11. Several council members raised concerns during the session about AI handling heavy duty parts data (filter micron ratings, VIN-based brake shoe selection, brand-specific specifications with legal implications). Which of these creates the biggest barrier to AI-driven sales automation in heavy duty? (Select up to two) *This question is required.
12. Ajay suggested during the session that the industry could record counter person conversations to build a heavy duty knowledge base for AI training. Would your organization participate in something like that? *This question is required.
SECTION 6 – Revalgo Solution Fit
 
13. After watching this session, how clearly do you understand what Revalgo does? *This question is required.
14. How relevant is the problem Revalgo is solving to your business right now? *This question is required.
15. Which Revalgo capabilities would be most valuable to your organization? (Select up to three) *This question is required.
SECTION 7 – Learning Curve and Adoption
Ajay framed Revalgo as a learning process over time, not an immediate solution. He claimed AI can compress the typical 12-18 month onboarding period for a new salesperson to 1-2 months. Council members questioned whether this realistically applies to heavy duty.
 
16. How realistic do you find Ajay's claim that AI can compress a 12-18 month salesperson learning curve to 1-2 months in heavy duty? *This question is required.
17. Ajay described an 80/20 model where AI handles 80% of typical processes and humans handle the 20% of complex cases. In your organization, what percentage of counter interactions do you think AI could realistically handle today? *This question is required.
SECTION 8 – Where Revalgo Could Succeed
20. What would need to be true for Revalgo to gain real traction in heavy duty distribution? *This question is required.
SECTION 9 – Where Revalgo Could Struggle
This is the most useful feedback an innovator can receive. Please be direct.
21. What is the biggest obstacle to Revalgo working well in your business specifically? (Select up to two) *This question is required.
SECTION 10 – Looking Forward
Ajay predicted during the session that buyer agents will increasingly want to interact directly with seller agents in conversational AI exchanges. This raised questions about how prepared heavy duty distribution is for this shift.
 
24. Ajay's prediction was that within a few years, your buyers will have a buyer's agent that wants to talk to your seller's agent. How prepared is your business for that shift today? *This question is required.
SECTION 11 – Overall Industry Fit

 
25. Overall, how would you rate Revalgo's relevance to heavy-duty distribution?
  *This question is required.
26. Would you personally like to explore Revalgo further? *This question is required.