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The client sought a comprehensive solution to keep pet owners constantly informed about their pets' locations, receive real-time notifications of critical events, and access detailed reports on their pet's presence. With a growing user base, scalability was a primary concern, demanding the capacity to handle increasing data volumes effectively.

Multiple GPS trackers transmit real-time data and event notifications to a message broker through the MQTT protocol, such as a low battery or leaving a safe area. This protocol choice ensures a device-friendly interface while conserving mobile phone battery life. A real-time data stream processor built on Apache Kafka collects data from various MQTT topics, processes it, checks its quality, and facilitates push notifications, ensuring secure data transmission. Data aggregation, powered by Apache Spark, processes data in memory, sorting it by various time intervals (hour, day, week, month), and transfers it to a data warehouse.

The client faced a significant challenge regarding their subscription costs for third-party fleet management SaaS platforms. As their user base expanded to over 2,000 customers, managing 26,500+ IoT devices led to escalating subscription expenses. The existing SaaS platforms charged separately for each IoT device, resulting in cost inefficiency. The customer aimed to develop a bespoke fleet management solution to mitigate these growing expenses and secure long-term cost-effectiveness.

We implemented an array of functionalities, including Real-time and historical tracking. GPS trackers capture data on events (e.g., stops), geo-zones, speed, mileage, and vehicle location. Also include automated reminders for vehicle maintenance based on previous maintenance dates, vehicle mileage, or engine running time. We enabled real-time communication between drivers and their managers through a mobile app. We also established integrations with a fleet maintenance management system and an analytics tool for vehicle tracking data.

The client faced the challenge of developing a complex client-server solution to enable communication with vehicles and remote control of car electronics through their flagship hardware device. Integrating various vehicle functions, such as engine control, temperature adjustment, and door operations, into an interactive web interface and feature-rich mobile applications for Android and iOS platforms. The challenge also included ensuring high connection stability and performance while tracking thousands of vehicles simultaneously.

We created a sophisticated system that integrated hardware devices with a web server, enabling features like vehicle tracking, remote engine control, temperature adjustment, door and trunk operations, trip monitoring, accident notifications, and more. The web software was built with a user-friendly interface, administrative functions, and an electronic payment system. It interacted with the server using JavaScript Object Notation (JSON) API and was scalable through Microsoft Azure Cloud. Additionally, mobile apps for Android and iOS were developed with intuitive interfaces and intelligent voice command capabilities, ensuring efficient vehicle tracking and real-time notifications. This complex solution utilized various technologies, including Microsoft Azure, Entity Framework, and voice command interfaces like Google Voice Actions and Siri.