I’ve been building a proof-of-concept for a different kind of dealership AI.
Instead of another chatbot that answers questions and then asks for a phone number, this one is designed to act as a digital salesperson.
The customer can negotiate the actual vehicle price online. The dealer defines the commercial boundaries, and the system can accept, counter, reject or escalate an offer within those rules.
The important part is that the AI does not control the pricing policy.
The AI handles the conversation, while deterministic application logic enforces things like minimum acceptable price, negotiation limits, required vehicle-condition acknowledgement and deal-state transitions.
The current demo includes:
• dealer-controlled negotiation boundaries
• ACCEPT / COUNTER / REJECT / ESCALATE decisions
• limited negotiation rounds
• required condition-report acknowledgement before progressing
• persistent deal state and audit trail
• defined handoff points for dealership systems and human review
Financing, payments, DMS/CRM and similar systems are integrations around the salesperson rather than decisions made by the AI itself.
I built this initially around European automotive retail, and I’m now interested in how US dealers see the idea.
The question I’d really like dealer feedback on is:
Would you allow software to negotiate and agree on an actual vehicle selling price with a customer, as long as it could never operate outside rules and limits set by the dealership?
If not, what would be the deal-breaker: pricing control, compliance, desking workflow, trade-ins, management approval, customer behavior, or something else?
Demo: https://kopilotti.online
I’m not trying to sell anything here. I’m mainly interested in whether the underlying model makes sense from the dealer side, and what I’m missing.
Instead of another chatbot that answers questions and then asks for a phone number, this one is designed to act as a digital salesperson.
The customer can negotiate the actual vehicle price online. The dealer defines the commercial boundaries, and the system can accept, counter, reject or escalate an offer within those rules.
The important part is that the AI does not control the pricing policy.
The AI handles the conversation, while deterministic application logic enforces things like minimum acceptable price, negotiation limits, required vehicle-condition acknowledgement and deal-state transitions.
The current demo includes:
• dealer-controlled negotiation boundaries
• ACCEPT / COUNTER / REJECT / ESCALATE decisions
• limited negotiation rounds
• required condition-report acknowledgement before progressing
• persistent deal state and audit trail
• defined handoff points for dealership systems and human review
Financing, payments, DMS/CRM and similar systems are integrations around the salesperson rather than decisions made by the AI itself.
I built this initially around European automotive retail, and I’m now interested in how US dealers see the idea.
The question I’d really like dealer feedback on is:
Would you allow software to negotiate and agree on an actual vehicle selling price with a customer, as long as it could never operate outside rules and limits set by the dealership?
If not, what would be the deal-breaker: pricing control, compliance, desking workflow, trade-ins, management approval, customer behavior, or something else?
Demo: https://kopilotti.online
I’m not trying to sell anything here. I’m mainly interested in whether the underlying model makes sense from the dealer side, and what I’m missing.
