AI Use case: auto dealerAI Model Unlocks 400+ Additional Sales Annually From Buried Data

Our Solution:

Predictive AI Model That Surfaces Buying + Service Intent

Our team worked side-by-side with the dealership’s leadership to understand where revenue was leaking and where customer opportunities were being missed.

Using their existing CRM data, we designed and deployed an AI model that aligned with their sales process, service cadence, and operational bandwidth. Here’s how:

Predictive Buyer Scoring

• The model continuously scans for sales triggers—like expiring leases, mileage thresholds, or historical buying cadence—and flags high-likelihood buyers automatically. Sales teams get a weekly list of who to talk to—and what to say.
  • In action: "Hi Sarah, noticed your lease is coming up in 60 days. Ready to upgrade? We've already pre-qualified your options."

Service Need Forecasting

• It doesn’t stop at sales. We programmed the model to detect upcoming service needs (like tire wear or oil changes) based on vehicle age, miles, and past behavior. The system generates targeted offers before customers fall off the radar.
  • In action: If customer tires wear out at 45,000 miles and the system sees their car at 40,000, the AI Model sends a personalized tire offer that beats Competitor Tire Shop before customer would even start searching.

Automated, Personalized Outreach

• No more spray-and-pray emails. Customers receive messages tailored to their vehicle, timing, and preferences, across SMS, email, or even AI-powered chat. The experience feels 1:1, not mass-produced and misaligned.

Sales Efficiency Without Extra Lift

• In some cases, the model handled the full customer interaction, qualifying leads, setting appointments, and fielding trade-in questions, leaving the salesperson to focus on test drives, foster connection, and close rates. AI doesn't replace your team, it makes them 10x more efficient.