MTS - Myzstech Point of Sale System
MTS is a comprehensive, cross-platform Point of Sale (POS) system built with Flutter, designed for restaurants, retail stores, and hospitality businesses. It provides an all-in-one solution for managing sales, inventory, staff, and customer interactions with support for multiple displays and advanced POS features.
Core Features
Sales Management: Complete order processing with item selection, modifiers, variants, and multiple payment types (cash, card, digital payments)
Receipt Generation: Customizable receipt templates with thermal printer support for seamless transaction documentation
Inventory Management: Real-time stock tracking and comprehensive item management across multiple outlets
Customer Management: Customer profiles, loyalty programs, and complete order history for business intelligence
Staff Management: User roles, permissions, and time tracking for operational oversight
Advanced Capabilities
Dual Display Support: Customer-facing secondary display for order visualization and engagement
Table Management: Restaurant table layout with dynamic order assignment and real-time tracking
Shift Management: Opening/closing shifts with cash drawer reconciliation and shift reports
Flexible Pricing: Discount and tax management with customizable rules and calculations
Kitchen Display System: Kitchen order management for efficient order preparation workflow
Offline Operation: Full offline capability with automatic data synchronization when connected
Business Intelligence
Comprehensive sales reports and analytics
Detailed shift summaries and cash management reporting
Item performance tracking and category analysis
Staff productivity monitoring and performance metrics
Technical Excellence
Built with modern Flutter architecture following clean code principles, featuring Provider/Riverpod state management, SQLite with Hive caching for performance, Dio for networking, thermal printer integration, and Pusher Channels for real-time updates. Supports Android, iOS, macOS, and Windows platforms with optimized performance for large datasets and efficient memory management.