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Digital Inventory Management System
Digital inventory tracking system that reduced food waste by 15% through automated monitoring and predictive analytics for restaurant operations.
Project Overview
Developed a comprehensive digital inventory management system specifically designed for restaurant operations. The system features real-time inventory tracking, automated reorder alerts, expiration date monitoring, and predictive analytics for demand forecasting. It includes waste tracking, cost analysis, and reporting capabilities that help optimize inventory levels and reduce food waste while maintaining operational efficiency.
Challenges
- Tracking perishable items with varying shelf lives
- Implementing predictive analytics for demand forecasting
- Creating user-friendly interface for restaurant staff
- Ensuring real-time accuracy of inventory data
Solutions
- Built automated expiration tracking with alert system
- Implemented machine learning models for demand prediction
- Created intuitive GUI with Tkinter for easy operation
- Developed real-time synchronization with barcode scanning
Results & Impact
Reduced food waste by 15% through better tracking
Improved inventory accuracy to 98%
Decreased ordering costs by 12%
Enabled data-driven inventory decisions
Project Details
Duration
4 months
Team Size
2 developers
My Role
Python Developer & System Analyst
Technologies Used
Python
SQLite
Pandas
Tkinter
Matplotlib
NumPy
Datetime
CSV