Chen May Yee explores Swiggy’s use of Microsoft Fabric for delivering real-time intelligence, emphasizing the adoption of AI and data engineering to serve millions of users.

Real-time Intelligence: How India’s Swiggy Serves Millions with Microsoft Fabric

By Chen May Yee

Swiggy has scaled its food delivery operations to serve millions of customers across India by harnessing the power of Microsoft Fabric, a cloud-based data and analytics platform. Fabric enables Swiggy to process vast amounts of operational data in real time, supporting actionable insights and rapid decision-making.

Key Highlights

Microsoft Fabric Architecture: Swiggy utilizes Microsoft’s unified analytics platform to integrate multiple data sources and enable real-time analysis.
AI-driven Solutions: Machine learning models power demand forecasting, route optimization, and personalized recommendations for users.
Operational Scale: Using Fabric, Swiggy maintains high efficiency and customer responsiveness, even during peak times.
Data Engineering: Advanced pipelines aggregate delivery information, transactions, and customer feedback to fine-tune business operations.
Impact: The real-time intelligence delivered via Microsoft Fabric allows Swiggy to make rapid adjustments to its services, enhancing user experience and operational reliability.

Real-world Benefits

Improved delivery times and customer satisfaction
Scalable analytics infrastructure for nationwide operations
Integration of AI and ML models for continual optimization

Swiggy’s technical partnership with Microsoft illustrates the impact that cloud-based fabric and advanced data engineering can have on high-volume, time-critical platforms.

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