I designed
MachineMaster
Digital sales tool for the machinery trade
Made from scratch, fully planned and prepared all-in-one solution for the machinery trade Individual catalog with configurator, instock and used machines custom designed website.
Client
MachineMaster
Services
UI & UX Design Branding Design System (Tokens based)
Industries
Sales
Date
From 2023
Overview
MachineMaster is an advanced industrial application designed to optimize and streamline equipment management and monitoring for manufacturing industries, significantly enhancing operational efficiency.
Problem Statement
Manufacturing plants often face downtime due to unexpected machinery failures and inefficient tracking of equipment maintenance schedules, leading to increased costs and productivity losses.
Objective
Create a comprehensive, user-friendly application to:
Predictively monitor machinery health.
Automate maintenance scheduling.
Provide actionable insights for preventive maintenance.
1. User Research & Analysis
Observed daily workflows in manufacturing settings.
Key insights:
Users prioritize predictive alerts to prevent machinery failures.
Users require a simplified, visual presentation of complex data.
2. Ideation & Wireframes
Developed detailed wireframes emphasizing a clear display of predictive analytics.
Simplified workflow for managing maintenance tasks and notifications.
3. UI Design & Prototyping
Created high-fidelity designs using Figma
Utilized a visually clear dashboard displaying real-time equipment health and maintenance schedules.
Emphasized accessibility and intuitive interactions.
Key Features
Predictive Analytics: AI-powered predictive maintenance notifications.
Maintenance Automation: Streamlined scheduling and task assignment.
Interactive Dashboards: Real-time visualization of machinery status and analytics.
Mobile Integration: Accessible alerts and management via mobile devices.
Reporting Tools: Comprehensive reporting and historical data access.
Usability Testing
Performed usability testing with 25 industrial operators and maintenance staff.
Iterative design improvements based on feedback:
Enhanced visibility and clarity of predictive alerts.
Simplified the navigation and dashboard elements.
Improved data visualization clarity.
Results & Impact
Achieved 90% user satisfaction and usability rate in testing.
Reduced machinery downtime by 70% due to effective predictive maintenance.
Improved operational efficiency, with a 40% increase in maintenance scheduling accuracy.
Conclusion
MachineMaster effectively bridges the gap between complex industrial requirements and user-friendly digital interfaces, delivering powerful predictive capabilities and operational efficiency improvements in the manufacturing sector.
