UT Connect Super App
2021-2023
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Tech Stack
Key Features
- IoT Telemetry Processing & Visualization
- Microservices on Azure Kubernetes (AKS)
- SAP & Salesforce Enterprise Integration
- Resilient E-commerce Transaction Engine
- Real-time Equipment Monitoring
The Challenge
Heavy equipment operations were disconnected from digital services, leading to inefficiencies in maintenance and spare parts ordering.
Constraints & Scale
The system had to handle massive IoT data ingestion from field devices with unreliable internet connections and integrate with legacy SAP systems.
System Architecture
Microservices architecture hosted on Azure Kubernetes Service (AKS). Azure IoT Hub for telemetry ingestion, Redis for caching hot data, and a dedicated integration layer for SAP and Salesforce.
Key Tradeoffs
Adopted an eventual consistency model for telemetry data to handle massive ingestion spikes without blocking the user UI. Prioritized mobile-first design for field operators.
Measurable Results
Achieved a 30% increase in digital spare parts sales and enabled real-time health monitoring for over 5,000 heavy equipment units.
Project Details
Led the backend engineering for UT Connect, a strategic Super App for United Tractors that bridges the gap between heavy equipment operations and digital services. The platform processes real-time IoT telemetry data to monitor equipment health, fuel consumption, and location. I designed the microservices architecture on Azure Kubernetes Service (AKS), decoupling the e-commerce module from the core telemetry engine to ensure high availability. The system handles thousands of concurrent connections from field devices and mobile users. My role involved deep integration with SAP for inventory synchronization and Salesforce for CRM data, creating a unified ecosystem. I also implemented a resilient payment gateway aggregator to facilitate seamless spare parts purchasing directly within the app.
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General Questions
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