Richmond Ford’s Kayla Kody: Using AI and Hourly Scheduling to Drive Service Revenue and Loyalty





Summary

Executive summary

Richmond Ford Automotive Group is modernizing its service operations with data-driven scheduling, standardized inspections, real-time communication, and AI-enabled coaching. The approach aims to expand capacity, reduce bottlenecks, improve transparency, and strengthen loyalty while addressing technician shortages and fluctuating demand.

What changed

  • Shifted from counting vehicles to booking by labor hours and technician skills.
  • Standardized multi-point inspections (MPIs) with photos and videos to explain findings.
  • Introduced advisor–technician messaging and automated alerts for instant approvals and status updates.
  • Deployed AI tools to coach advisors on empathy and clarity and to surface lifecycle-based opportunities.
  • Integrated service, parts, and sales data to coordinate outreach and present tailored options.
  • Moved to options-based recommendations rather than pressure-driven selling.

Early results

  • +11% year-over-year customer-pay revenue.
  • MPI completion rate increased from 67% to 97% within two months.

How the scheduling model works

  • Appointments are booked by required labor hours and technician competencies.
  • Capacity is pre-allocated for recall vs. maintenance work to balance bays.
  • Buffers are reserved for additional approved work uncovered during inspections.

AI’s role

  • Advisor coaching for empathetic, consistent communication.
  • Lifecycle prompts that align maintenance and repair options with vehicle age, mileage, and history.
  • Supports decisions without replacing human judgment.

Cross-department coordination

  • Uses declined services and vehicle histories for timely follow-ups.
  • Monitors equity positions to align service insights with potential trade-in conversations.
  • Gives parts visibility into scheduled work to forecast inventory needs.

Impact on teams and customers

  • Fairer workload distribution and steadier workflow for technicians.
  • Less idle time due to instant authorization alerts and clearer handoffs.
  • Higher trust and approval rates via transparent MPIs with visual documentation.
  • Options-first presentation improves satisfaction and long-term retention.

What’s next

  • Deeper investment in AI-enabled training and lifecycle marketing.
  • Ongoing refinement of scheduling, communication, and KPI measurement.
  • Continued emphasis on cultural alignment across service, sales, and parts.

Bottom line: By scheduling to capacity and competency, standardizing inspections, automating communication, and aligning data across departments, Richmond Ford is improving throughput, revenue, and customer trust without overcomplicating daily workflows.

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