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Development of a Robust IoT Mobile Application for Indoor Air Quality Monitoring and Control
  1. case
  2. Development of a Robust IoT Mobile Application for Indoor Air Quality Monitoring and Control

Development of a Robust IoT Mobile Application for Indoor Air Quality Monitoring and Control

beetroot
Medical
Information technology

Identified Challenges in IoT Application Stability and User Experience

The client faced critical bugs causing device disconnections, performance issues leading to high CPU consumption and device overheating, an outdated codebase affecting stability, poor UI/UX resulting in high bounce rates, and increased customer support inquiries due to app issues. These issues hindered user engagement and sustainable business growth.

About the Client

A mid-sized healthtech company specializing in indoor air purification solutions with a focus on customer satisfaction and innovative IoT-enabled devices.

Goals for Enhancing IoT App Performance and User Engagement

  • Achieve a stable, crash-free application by resolving critical bugs and performance bottlenecks.
  • Improve app responsiveness, reducing overheating and CPU usage by 80%.
  • Enhance user satisfaction as reflected by an increase in app store ratings from below 2.0 to above 4.7.
  • Reduce negative reviews and customer support inquiries by over 85%.
  • Integrate analytics tools for insights into user behavior to inform strategic improvements.
  • Streamline localization processes to expedite translation and improve multi-market user experience.
  • Establish a scalable, maintainable codebase for long-term stability and growth.

Core Functionalities for an Improved IoT Air Quality Management App

  • Air purifier device control via mobile interface
  • Real-time air quality monitoring with actionable data visualization
  • Scheduling and automation features for personalized user routines
  • Push and in-app alerts for device status and air quality changes
  • Filter replacement and tracking notifications
  • Smart integrations with voice assistants and smart home systems
  • Analytics integration for user engagement and app usage insights
  • Localization support with efficient translation workflows

Technology Stack Preferences for Development and Optimization

Codebase refactoring using modern development frameworks
Mobile development with native iOS and Android platforms
Performance optimization techniques for mobile CPUs
Analytics tools including Firebase, Amplitude, and Smartlook

External Systems and Services Integration Needs

  • Real-time air quality data sources
  • Smart home ecosystem APIs and voice assistant platforms
  • Analytics platforms for user engagement and behavioral insights

Essential Non-Functional System Specifications

  • Application stability with crash reduction target of over 300%
  • Performance improvements achieving at least 80% faster responsiveness
  • Scalability to support increasing user base across multiple markets
  • Secure data handling with compliance to relevant privacy standards
  • Responsive UI with high user satisfaction metrics

Business Benefits and Expected Outcomes of the IoT App Enhancement

The project aims to deliver a highly stable and user-friendly IoT air quality management app, reducing crashes by over 300%, increasing app performance by 80%, and elevating user ratings from below 2.0 to 4.7. This will significantly enhance customer satisfaction, reduce support workload by 85%, and provide valuable analytics insights, ultimately supporting the company's growth and market competitiveness.

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