Trak
Web and Desktop Design
TraK is an inventory tracking and management software with the ability to view reports, inventory. Using IoT data for insights visualised in the dashboard showing sales and purchase overview, stock quantity, revenue as well as supplier information and order details.
Case Study: TraK Inventory Tracking and Management Software
Project Overview
Project: TraK Inventory Tracking and Management Software
Objective: Design a web and desktop application for tracking and managing inventory, with features for viewing reports and IoT data insights.
Role: Product Designer
Tools: Figma, Adobe Photoshop
Project Dynamic: Solo project
Deliverables: High-fidelity mockups and wireframes.
Problem Statement
Businesses often struggle with efficient inventory management, which impacts their ability to maintain optimal stock levels, track supplier information, and manage sales and purchases effectively. The aim was to create a comprehensive inventory management system that provides real-time insights through an intuitive dashboard.
Research and Discovery
User Needs:
Real-time tracking of inventory levels.
Detailed reports on sales, purchases, stock quantity, and revenue.
Easy access to supplier information and order details.
Insights from IoT data visualized in an easy-to-understand format.
Competitive Analysis:
Analyzed existing inventory management solutions to identify gaps in real-time data visualization and user interface design.
Focused on creating a more intuitive and visually appealing dashboard with comprehensive data insights.
Key Insights
Users need real-time data to make informed decisions about inventory management.
A visually appealing and easy-to-navigate dashboard is crucial for user satisfaction.
Integration of IoT data can provide valuable insights but must be presented clearly.
Design Process
1. Ideation and Conceptualization:
Brainstormed features and functionalities to address user needs.
Created initial sketches and discussed them with potential users for feedback.
2. Low-fidelity Prototyping:
Developed low-fidelity wireframes to outline the application's structure and user flow.
Focused on ensuring ease of navigation and clear data presentation.
3. High-fidelity Prototyping:
Created high-fidelity mockups emphasizing a clean and modern interface.
Key Features:
Dashboard: Visual representation of sales and purchase overview, stock quantity, revenue, and IoT data insights.
Reports: Detailed reports on various aspects of inventory management.
Supplier Information: Comprehensive view of supplier details and order histories.
IoT Integration: Real-time data from IoT devices visualized in the dashboard.
4. User Testing:
Conducted usability testing with business owners and inventory managers to gather feedback.
Iterated on the designs based on feedback to enhance usability and functionality.
Key Features
Real-time Data: Integration of IoT data for up-to-date inventory tracking.
Comprehensive Dashboard: Visual representation of key metrics and insights.
Detailed Reports: In-depth reports on sales, purchases, stock levels, and revenue.
User-friendly Interface: Intuitive design for easy navigation and data interpretation.
Results and Impact
User Engagement: High engagement and positive feedback from user testing sessions.
Efficiency Improvement: Users reported improved efficiency in inventory management.
Client Satisfaction: Successful integration of all required features, leading to a satisfied client and a functional, user-friendly application.
Reflections and Learnings
The importance of real-time data in inventory management.
The value of a visually appealing and intuitive interface for user satisfaction.
The impact of clear data visualization on decision-making.
Conclusion
The TraK Inventory Tracking and Management Software project was a rewarding experience that allowed me to address real-world problems in inventory management. By focusing on real-time data, intuitive design, and comprehensive features, the application provides a valuable tool for businesses to manage their inventory efficiently.
Link to High-fidelity Mockups and Wireframes: