Genrocket Automotive Parts Retailer Case Study

• Application Infrastructure & Middleware - Data Exchange & Integration
• Functional Applications - Inventory Management Systems
• Functional Applications - Remote Monitoring & Control Systems

• Automotive
• Retail

• Quality Assurance
• Warehouse & Inventory Management

• Inventory Management
• Predictive Maintenance
• Remote Asset Management

• Software Design & Engineering Services
• System Integration

The automotive parts retailer faced significant challenges in maintaining efficient inventory management and provisioning new store environments. The retailer needed to ensure that inventory levels were accurately updated in real-time to meet customer demands and provide suggestions for nearby stores when stock was low. Additionally, creating a new store environment for testing purposes was a complex and time-consuming process, requiring data for multiple local databases and integration with various systems. The existing automated process took several hours to create a new store and generate the necessary test data, hindering the retailer's ability to quickly adapt to market demands.

The customer is a major automotive parts retailer operating in the highly competitive $130 billion-dollar automotive aftermarket industry. This industry is characterized by a mix of local brick-and-mortar retailers and online suppliers catering to both DIY consumers and commercial mechanics. The retailer has established a strong presence through superior customer service, expansion of retail locations, and the addition of regional distribution hubs. These hubs stock tens of thousands of items, enabling rapid resupply of surrounding stores and providing customers with more buying options and faster delivery. The retailer relies heavily on its information systems to manage inventory levels efficiently and support the provisioning of new store locations. To maintain its competitive edge against e-commerce giants like Amazon, the retailer sought to enhance its software testing capabilities with the help of GenRocket's Enterprise Test Data Automation solution.

GenRocket provided a comprehensive solution to address the retailer's software testing challenges. For the first use case, which involved store inventory adjustment, GenRocket implemented a workflow that integrated with the existing test case. This workflow included using GroovyScriptReceiver to convert binary data to a fixed file format, running a GenRocket Scenario for synthetic data replacement, and converting the fixed file back to binary format. Additionally, GenRocket performed SQL updates on store quantities within a database and used the GenRocket API to dynamically update scenarios with store numbers, ensuring real-time updates for testing purposes. For the second use case, which involved provisioning a new store environment, GenRocket broke down the test data requirements into different epics and phases. The solution included generating test data for various databases and integrating it with the customer's existing automation framework. The phased approach allowed for incremental implementation, starting with basic test data integration and progressing to more advanced integration. By leveraging GenRocket's capabilities, the retailer was able to streamline the creation of new store environments and ensure accurate and efficient inventory management.

• GenRocket successfully integrated its solution into the retailer's existing test environment, enabling real-time updates for inventory management and store provisioning.
• The phased approach to test data integration allowed for incremental implementation, ensuring a smooth transition and minimal disruption to existing processes.
• The retailer was able to efficiently manage inventory levels and provide accurate suggestions for nearby stores, enhancing customer satisfaction.

• The automated process for creating new store environments was reduced from 10 hours to a significantly shorter duration.
• The retailer was able to handle tens of thousands of items in regional distribution hubs more efficiently.
• The solution enabled rapid resupply of surrounding stores, improving delivery times for customers.