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This project involved developing an Internet of Things (IoT) solution for Shell to connect, monitor, and manage a large network of industrial and consumer devices.
Project Overview
This project involved developing an Internet of Things (IoT) solution for Shell to connect, monitor, and manage a large network of industrial and consumer devices. The system collects real-time device data, securely stores it, and processes it to generate meaningful insights for operational efficiency, predictive maintenance, and enhanced customer experience
.
AWS cloud services were at the core of the architecture, ensuring scalability, secure communication between devices, and efficient data analytics operations.
Objective
- Enable seamless connectivity and management of IoT-enabled devices.
- Collect and process large volumes of real-time sensor and usage data.
- Provide actionable insights to both internal teams and end users.
- Ensure high reliability and security across all device interactions.
Development Approach
- Designed event-driven serverless flows for processing IoT data.
- Implemented AWS IoT Core for device registry and MQTT-based communication.
- Used AWS CloudWatch for monitoring and diagnostics.
- Ensured secure IAM-based access control and TLS-based device communication.
How We Made It Happen
A visual breakdown of the design, development, and performance
that shaped the final product.
Project Approaches
Our team built effective solution for Petco-MMX
Device Connectivity & Management: Secure communication between devices and cloud systems. Remote provisioning, monitoring, and firmware updates.
Real-Time Data Collection & Processing: Streamed IoT data pipelines using AWS-managed services. Automated data cleaning, processing, and storage workflows.
Analytics & Insights: Performance dashboards to monitor usage trends. Alerts and notifications for critical device behavior or threshold breaches.
Cloud-Native Architecture: Highly scalable infrastructure built using AWS services. Support for future device additions and increased data load.
Solution Aviox Built for Petco-MMX
This approach focused on keeping things simple, reliable, and ready to grow with Aftom AI needs.
Technologies
Tech Stack
Typescript
Front End
Python, AWS
Back End
AWS
Cloud Services
AWS Cloud Infrastructure
Deployment
Impact & Results
Enhanced Device Performance Visibility
Provided real-time insights into device performance and usage patterns.
Operational Efficiency Through Automation
Reduced manual workload with automated and centralized device management.
Data-Driven Decision Making
Enabled smarter maintenance and customer service strategies using actionable analytics.
High Scalability and Reliability
Supported thousands of connected devices seamlessly without compromising system performance.