EvenFlow AI Boosts Auto Service Productivity in Dealerships
PRESS RELEASE
Published August 23, 2025
Auto dealership service departments juggle multiple priorities: keeping customers satisfied, balancing technician workloads, and maximizing profit from service operations. Many still rely on outdated appointment scheduling methods that cause overbooked mornings, idle afternoons, and stressed advisors. These inefficiencies waste technician time, delay recalls, and frustrate customers.
EvenFlow AI offers a fresh approach by implementing capacity-based scheduling and automation. Dealerships using this platform report smoother workflows, better technician utilization, and clear financial improvements.
The Appointment Scheduling Problem
Traditional scheduling uses a "car count" model, booking appointments based on how many vehicles advisors can check in. This overlooks the real bottleneck: technician capacity. When technicians are overwhelmed in the morning and underused later, service quality suffers. Critical recall work often gets missed, which affects vehicle safety and increases repair costs over time. For dealerships, this means lost labor sales and decreased customer trust.
EvenFlow AI: A Technician Capacity Approach
EvenFlow AI centers scheduling around technician availability and proficiency for specific jobs. The system also predicts the "true demand" of each appointment, addressing the mismatch between what customers schedule and the actual work done.
- Avoids morning overloads and afternoon gaps
- Maximizes technician labor hours to boost productivity
- Improves same-day appointment availability
- Enhances customer experience by cutting wait times
Maximizing the Completion of Open Recall Works
Most scheduling tools check for open recalls by VIN and add those services to appointments but fall short in managing parts availability and technician skillsets. This can lead to incomplete recall work or the need for follow-up visits.
EvenFlow AI advances recall management by ensuring parts lead times and technician constraints are accounted for per recall campaign. Automated reports integrate with parts workflows, and customers receive clear disclosures during scheduling to set expectations.
This thorough approach helps dealerships complete more recall work on time, resulting in safer vehicles on the road.
Significant Financial Impact
Dealerships using EvenFlow AI report a 16-24% increase in service gross profit, translating to an additional $100K-$240K in monthly revenue. Gains come mainly from higher productivity, with increased revenue and labor hours per repair order. Improved customer satisfaction scores also follow, thanks to a better service experience.
Industry Implications
Technician shortages and tighter vehicle sales margins push dealerships to improve service efficiency. Capacity-based scheduling is emerging as a key shift in fixed operations management. As one industry consultant put it, "Car count isn't the metric that matters. What matters is how efficiently each clock hour can be turned into billed labor hours."
Similar capacity and pricing optimizations in industries like airlines and healthcare have driven over 20% revenue growth by better utilizing fixed operational capacity.
Looking Ahead
Built with dealer input, EvenFlow AI evolves based on real-world feedback. As more service departments adopt technologies that include capacity management, true demand forecasting, and integrated recall handling, these practices may become standard. EvenFlow AI showcases how targeted technology can fix persistent inefficiencies in auto service operations.
About EvenFlow AI
EvenFlow AI is a platform focused on improving auto service operations through capacity-based scheduling and automation. By aligning technician availability with appointment demand, it maximizes productivity and reduces inefficiencies. Its advanced recall management tools also help dealerships enhance customer service and operational results.
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