Eliminating Bottlenecks in High-Demand Dealership Operations

An exclusive vehicle and parts distributor operates across six states, supporting a network of 65+ dealerships. Their digital platform facilitates end-to-end operations, including inventory management, parts ordering, dealer CRM integration, marketing analytics, and service scheduling. Given the time-sensitive nature of sales events, seasonal spikes, and live pricing updates, maintaining optimal application performance is mission-critical.

With growing digital adoption across dealerships, the platform began to encounter performance bottlenecks during peak usage periods—especially around monthly promotions, new vehicle launches, and large-scale pricing updates. These high-traffic events triggered:

• Slow API response times
• Intermittent dashboard loading failures
• A degraded user experience within the dealer portal

A multi-phase performance engineering approach was executed to benchmark, optimize, and ensure reliability under load, it included:

• Critical Path Identification
• Test Tools
• Test Execution
• Monitoring & Analysis
• Optimization Efforts

• Achieved <2.5s 90th percentile response time for high-traffic dealer workflows
• Improved inventory sync latency by 55% during peak business hours
• Sustained 8-hour soak test without memory leaks or degraded thread performance
• Reduced order placement failures by 90% under load