Client at a glance
Transforming Heavy Machinery Management with IoT and Predictive Analytics
MachineMax’s platform now sets a new standard for equipment management, maximizing machine utilization and profitability while reducing environmental impact. With a modernized codebase, enhanced user experience, and cutting-edge data visualization, MachineMax is positioned as a leader in leveraging IoT and ML to empower the construction and mining industries.
Challenge
MachineMax, a global leader in equipment management, aimed to enhance its MVP platform to meet evolving customer and investor expectations. The challenges included:
- Codebase Modernization: Incrementally refactor legacy code while releasing new features to align with modern standards without disrupting functionality.
- Feature Expansion: Extend the product’s capabilities with predictive analytics powered by Machine Learning (ML) to offer actionable insights.
- User Experience (UX) Enhancements: Redesign the app’s user interface to improve engagement and accessibility.
- Data Visualization: Represent predictive analytics and operational data clearly and intuitively on the front end.
- User Engagement: Deliver weekly analytics email reports with detailed insights and key performance indicators.
Our Approach
We partnered with MachineMax to address their needs by modernizing their platform, enhancing UX, and leveraging advanced analytics for a seamless and engaging user experience.
Key actions included:
- Codebase Refactoring:
- Stored new and refactored code in a dedicated Portal folder, isolating it from legacy code to ensure stability.
- Introduced a new Design Component system based on Material UI, customized for multi-theme support.
- User Experience Redesign:
- Developed multistep forms for intuitive navigation and grouped data presentation.
- Centralized user actions under a main navigation bar, improving accessibility for tasks like filtering, searching, and downloading reports.
- Enhanced dashboards with sticky headers, advanced scrolling options, and predefined filters for data aggregation.
- Advanced Data Visualization:
- Used D3.js to deliver profound visualizations for ML predictions, enabling users to explore all data segments effectively.
- Implemented general statistics using Chart.js, providing popular graph-based representations.
- Custom Email Templates:
- Created visually rich, dynamic email templates with integrated data analytics graphs.
- Used tools like MJML, Handlebars, and Quickcharts.io to ensure compatibility with popular email clients, including Outlook.
Impact Delivered
- Enhanced User Engagement: Delivered a redesigned UI with advanced tools for improved user satisfaction and efficiency.
- Customizable Reporting: Provided users with detailed weekly analytics, fostering actionable insights and better decision-making.
- Improved Scalability: Enabled smooth integration of new features without disrupting legacy functionality.
- Optimized Data Visualization: Empowered users to interpret complex data easily through intuitive visualizations.
- Reliable Communication: Created robust email templates, ensuring seamless delivery and compatibility across platforms.
Expertise and Scope
- Deliverables: Custom UI component system, predictive analytics visualization, dynamic email templates, and modernized codebase.
- Technology Stack: React.js, Redux, Go, Python, Google Cloud Platform, SQL, D3.js, Chart.js, MJML, Handlebars