As the competition in the retail space grows relentlessly, every step to enhance operations contributes to staying ahead. Recognizing this, one of the world’s largest logistics companies decided to provide a competitive advantage to their retail customers by offering improved shipment visibility. This involved building a high-availability and high-performance solution that could provide more precise delivery predictions.
The rich data generated within the logistics network of the company contained powerful insights. The company decided to apply these insights to remove barriers in the supply chains of their retail customers. The goal was to shrink the supply chain considerably. This vision led the client to envisage a delivery prediction solution – a market differentiator for their retail customers.
However, there were multiple challenges to be overcome:
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Standardized DevOps pipelines with a focus on automated performance testing and innovative techniques deliver a high-performance solution with greater reliability
We enabled the client to enhance the performance and reliability of the solution through these steps:
50% effort reduction for automated build and deployments
70% effort and time reduction in performance testing
10 thousand transactions per second (TPS) for APIs and 15 thousand TPS for backend services
API response time reduced to milliseconds
Zero downtime during deployments