Maximizing bay throughput and customer lifetime value.
The automotive service industry is a constant balancing act between technician efficiency, parts inventory, service quality, and pricing pressure. Optimizing one area can often negatively impact another, making strategic decisions difficult and risky.
Model the different service requirements and durations for EVs (e.g., tire rotation, software updates) versus traditional cars (e.g., oil changes). Simulate how a 20% increase in EV appointments will impact overall wait times and prescribe adding a dedicated EV technician and service bay.
For the launch of a new SUV, simulate placing it at the entrance vs. in a dedicated "adventure" zone. Predict which placement will lead to more interactions, test drive requests, and ultimately, a higher conversion rate for that specific model.
Predict the higher demand for premium loaner vehicles when luxury cars are scheduled for multi-day service. This allows for optimizing the mix of your loaner fleet to avoid disappointing high-value customers while controlling fleet costs.