DevOps & SecOps
E-Commerce: Rapid Release DevOps
Reimagine Legacy. Redefine Future.
The Client
A top-tier e-commerce marketplace serving millions of customers daily.
Release cycles were taking six weeks due to fragmented dev and ops practices. Customers complained about delays in feature delivery.
Reimagine Legacy. Redefine Future.
The Challenges
Key Highlights
- Deployed Azure OpenAI Service with GPT-based models for real-time sentiment analysis of customer feedback across email, chat, and social platforms.
- Implemented a personalization engine that leveraged AI-driven recommendations for promotions and loyalty rewards.
- Integrated an intelligent Power Virtual Agents chatbot into the company’s mobile app and website for 24/7 multilingual customer support.
- Rolled out predictive analytics dashboards in Power BI to forecast churn and measure campaign ROI.
Key Highlights
- Introduced CI/CD pipelines with Jenkins and Azure DevOps.
- Embedded automated vulnerability scans into the pipeline.
- Dockerized applications for consistency across dev, test, and prod.
- Shifted to microservices to improve scalability.
Impact
Business Morals
Business Morals
Delivered
- Reduced release cycle from 6 weeks to 1 week.
- Improved code quality by 40%.
- Increased developer productivity.
- Delivered new features faster, boosting competitiveness.
Business Morals Delivered
- Customer retention rates improved by 18% within the first year.
- Call center workloads decreased by 35%, allowing agents to focus on complex cases.
- Campaign conversions rose by 22% due to targeted offers powered by AI.
- The client positioned itself as an AI-first retailer, enhancing brand perception in competitive markets.