Eliminating Bottlenecks In High-Demand Dealership Operations - Evoke Technologies
Industry: Automotive Distribution & Dealer Network
Region: United States, New England
Technology: LoadRunner, MongoDB, Node.js, Azure

About the Client

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.

Challenges

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

Solutions

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

Results

  • 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

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