Assessing Scalability and Intelligent Response Capabilities in E-Commerce Platforms
Industry:
Beverage Alcohol Distribution
Region:
United States
Technology:
NeoLoad, Dynatrace, Kafka, Oracle DB, AWS
About the Client
A leading national distributor in the wine and spirits industry manages approximately 9 million annual orders across 400,000+ SKUs, servicing over 250,000 accounts—all within tight 24-hour fulfillment windows. Their proprietary B2B e-commerce solution offers a customizable platform for ordering, inventory management, analytics, and supplier collaboration, enabling rapid business growth and meeting rising user demand.
Challenges
With exponential growth in digital order volumes and a 69% surge in user adoption, the platform’s performance during peak ordering periods became a critical concern. The system was expected to deliver:
- High availability for thousands of concurrent buyers
- Fast, real-time SKU lookups across extensive product catalogs
- Seamless integration of AI-driven product recommendations
Solutions
A structured performance engineering program was delivered to validate platform robustness and scalability:
- Focused on ordering, inventory browsing, analytics dashboard use, search recommendations, and supplier collaboration tools
- Tuned Oracle DB queries and schemas for inventory and order tables
- Scaled microservices via AWS autoscaling and optimized cloud resource allocation
Results
- Maintained <1.8 sec response for 90% of UI and API calls during peak load
- Increased backend throughput by 60%, reducing latency in inventory search and recommendations
- Successfully passed 24-hour soak tests with consistent performance and zero service degradation
- Enabled rapid order processing even during flash promo spikes by tuning system behavior
- Enhanced event-driven order flow with Kafka diagnostics tied into Dynatrace dashboards for real-time monitoring
