Λviyon Inventory Manager (AIM)

InventoryManager is a robust, modular, and highly customizable inventory management software designed to streamline warehouse and storage operations for businesses of all sizes---from small-scale resale operations in storage units to large-scale, multi-location enterprises. Built with flexibility, security, and scalability in mind, InventoryManager addresses the chaos of traditional inventory tracking by combining intuitive interfaces, real-time data visualization, and advanced AI-driven analytics. It supports both desktop and mobile applications, ensuring secure access to inventory data without relying on web-based portals to mitigate security risks.

Table of Contents

1. Project Vision

2. Features

   • Core Inventory Management

   • Visualization and Mapping

   • User Access Tiers

   • Analytics and Reporting

   • Pallet and Location Management

   • Small-Scale Business Support

   • AI-Powered Optimization

   • Security and Modularity

3. Architecture

   • Technology Stack

   • Modularity and Scalability

4. Installation

   • Prerequisites

   • Building from Source

   • Running the Application

5. Usage

   • Desktop Application

   • Mobile Application

   • Creating a Warehouse Layout

   • Managing Inventory

6. Development

   • Contributing

   • Code Structure

   • Testing

7. Roadmap

8. License

9. Contact

Project Vision

InventoryManager was inspired by real-world challenges faced in warehouse inventory management, where disorganization, inaccurate counts, and lack of transparency led to inefficiencies. Drawing from hands-on experience in a warehouse environment and a passion for solving complex problems, the goal is to create the ultimate inventory management solution that:

• Eliminates manual errors through automated tracking and logging.

• Adapts to any storage setup, from a single storage unit to multi-building enterprises.

• Empowers users with actionable insights via charts, graphs, and AI-driven recommendations.

• Prioritizes security by avoiding web-based exposure of sensitive data like warehouse layouts.

• Scales effortlessly with business growth, relocations, or expansions.

• Supports small-scale entrepreneurs, such as those running resale businesses, with tailored features for bulk purchasing and online sales.

The software is designed to be minimal yet feature-rich, with a clean, sexy UI that balances simplicity and power. It aims to replace chaotic inventory systems with a transparent, efficient, and visually intuitive solution.

Features

Core Inventory Management

• Barcode Integration: Leverages existing barcode systems for unique item tracking, supporting both in-house and outsourced inventory.

• Inventory Logging: Tracks all changes (additions, removals, updates) with detailed logs for transparency, including timestamps, user IDs, and change reasons.

• Quantity and Location Tracking: Records item quantities, precise locations (e.g., aisle, shelf, bin), and condition (sellable, damaged, reparable, non-reparable).

• Low Inventory Alerts: Configurable thresholds trigger notifications for depleting stock.

• Merge Suggestions: Identifies opportunities to consolidate inventory for space efficiency.

• Damaged Inventory Management: Logs damaged items, categorizes them (reparable vs. non-reparable), and tracks resolution steps.

Visualization and Mapping

• Interactive 2D SVG Warehouse Layout:

  • Customizable 2D vector maps generated from user-provided sketches or blueprints.

  • Clickable sections display detailed information:

    • Current products and quantities.

    • Items stored behind or adjacent.

    • Historical location data and quantities.

    • Suggested inventory merges or relocations.

  • Color-coded updates for new, modified, or vacated spaces.

  • Exportable for printing or sharing with warehouse associates.

• Interactive 3D Warehouse Model:

  • Generates a 3D mockup of the warehouse based on the 2D sketch or manual input.

  • Supports navigation via mouse/keyboard (desktop) or touch (mobile).

  • Displays item locations, quantities, and conditions in 3D space.

  • Highlights paths for picking or restocking with AI-optimized routes.

  • Toggles between 2D and 3D views for flexibility.

  • Exportable as OBJ or GLTF for external use (e.g., VR/AR integrations).

• Charting and Graphing:

  • Visualizes metrics like most-sold items, depleting stock, and inventory turnover.

  • Supports bar charts, line graphs, pie charts, and heatmaps for data-driven decisions.

  • Customizable dashboards for different user roles.

User Access Tiers

InventoryManager implements a three-tier access system to ensure security and appropriate data visibility:

1. Associate:

   • View inventory details to locate products.

   • Submit inventory logging suggestions (e.g., count discrepancies).

   • Scan pallets to confirm locations after manager approval.

   • Receive count discrepancy alerts.

2. Inventory Manager:

   • All Associate permissions.

   • Perform inventory lookups with additional details (e.g., availability at other locations).

   • Log inventory changes and approve associate suggestions.

   • Generate and analyze reports.

3. Executive Manager:

   • Full control over all metrics, data, and configurations.

   • Manage multiple locations and oversee cross-location inventory.

   • Access advanced analytics and AI-driven insights.

   • Configure user roles and permissions.

Analytics and Reporting

• Real-Time Metrics: Tracks inventory turnover, stock levels, and usage patterns.

• Historical Analysis: Provides insights into past inventory movements and trends.

• Custom Reports: Generate reports on demand (e.g., damaged items, low stock, top performers).

• Predictive Analytics: Forecasts inventory needs based on historical data and sales patterns, powered by AI.

• Export Options: Supports CSV, PDF, and Excel formats for reports and data sharing.

Pallet and Location Management

• Physical Location Displays:

  • Rectangular displays for each pallet location with:

    • Center: Pallet location name (e.g., Aisle 3, Bin 5).

    • Top Right: Company logo (customizable).

    • Bottom Left: QR code linking to location details in the mobile app (requires authentication).

    • Bottom Right: Barcode for scanning.

  • Printable templates for easy deployment.

• Staging and Relocation:

  • Tracks pallets in staging areas before final storage.

  • Suggests optimal storage locations based on item type, size, and access frequency.

  • Logs relocation history for auditing.

Small-Scale Business Support

Tailored features for entrepreneurs running resale businesses (e.g., storage unit operations):

• Bulk Purchase Tracking: Logs bulk item purchases, categorizes them, and assigns barcodes.

• Online Sales Integration:

  • Tracks items listed on platforms like eBay, Amazon, or Shopify.

  • Updates inventory automatically when sales occur.

  • Flags discrepancies between physical stock and online listings.

• Profitability Analysis:

  • Calculates profit margins per item or batch.

  • Suggests pricing strategies based on market trends.

• Compact Layouts:

  • Generates 2D SVG and 3D models for small spaces like storage units.

  • Optimizes storage for high-turnover items.

• Minimalist Mode:

  • Simplified UI for users managing smaller inventories.

  • Focuses on essential features like stock tracking and sales logging.

AI-Powered Optimization

• Nimbus.ai Integration:

  • Analyzes inventory data to recommend optimal storage configurations.

  • Suggests moving high-demand items to easily accessible areas.

  • Optimizes space usage based on item dimensions, turnover rates, and warehouse layout.

• Predictive Restocking:

  • Forecasts when to reorder based on sales velocity and lead times.

  • Alerts users to avoid stockouts or overstocking.

• Anomaly Detection:

  • Identifies discrepancies (e.g., missing items, unexpected counts) and flags them for review.

  • Suggests root causes based on log patterns.

• AI Implementation:

  • Powered by Python for advanced machine learning models (e.g., clustering, time-series forecasting).

  • Seamlessly integrated with the Rust core via PyO3 for high performance.

Security and Modularity

• Offline-First Design:

  • Runs locally on desktop and mobile devices to avoid exposing sensitive data online.

  • Syncs data securely when connected to a central server (optional).

• End-to-End Encryption:

  • Protects inventory data, user credentials, and logs.

  • Uses AES-256 for data at rest and TLS for data in transit.

• Modular Architecture:

  • Supports adding new warehouses, locations, or features without rebuilding.

  • Adapts to expansions, relocations, or remodels via configuration updates.

  • Extensible for third-party integrations (e.g., ERP systems, accounting software).

• Role-Based Authentication:

  • Ensures users only access data relevant to their role.

  • Supports multi-factor authentication (MFA) for managers and executives.

Architecture

Technology Stack

• Backend: Rust

  • Chosen for performance, memory safety, and cross-platform compatibility.

  • Handles inventory logic, barcode processing, and core operations.

• AI Module: Python

  • Powers AI-driven features like optimization, predictive analytics, and anomaly detection.

  • Uses libraries like TensorFlow, scikit-learn, and Pandas for data processing.

  • Integrated with Rust via PyO3 for seamless, high-performance execution.

• Frontend:

  • Desktop: Tauri (Rust + WebView) for lightweight, native-like apps.

  • Mobile: Flutter for cross-platform iOS and Android support.

  • 2D SVG Rendering: Custom Rust library with WebView for interactive maps.

  • 3D Rendering: Rust with WebGL (via Tauri) and Flutter ThreeDart for mobile.

• Database: SQLite (default) with PostgreSQL option

  • SQLite for single-location setups and small businesses.

  • PostgreSQL for multi-location enterprises with high data volumes.

• Barcode/QR Code Handling: ZBar and QrCodeGen libraries

  • Supports scanning via mobile cameras and external scanners.

• Charting: Plotters (Rust) for server-side rendering, Chart.js for frontend

  • Generates static charts for reports and dynamic dashboards.

Modularity and Scalability

• Plugin System:

  • Allows adding new features (e.g., integrations, analytics modules) as plugins.

  • Plugins can be enabled/disabled via configuration.

• Location-Agnostic Design:

  • Supports single storage units, warehouses, or multi-site enterprises.

  • Dynamically adjusts UI and logic based on location count and complexity.

• Configuration Files:

  • YAML-based configs for warehouse layouts (2D and 3D), user roles, and settings.

  • Enables rapid customization without code changes.

• Event-Driven Architecture:

  • Uses a message queue (e.g., Redis or in-memory) for logging and syncing.

  • Ensures real-time updates across devices and locations.

• AI Modularity:

  • Python AI components can be updated or swapped without affecting the Rust core.

  • Supports custom models or third-party AI services via configuration.

Installation

Prerequisites

• Rust: Stable channel (v1.65+).

• Python: v3.8+ (for AI module).

• Node.js: v16+ (for Tauri frontend dependencies).

• Flutter: v3+ (for mobile app).

• SQLite: v3.35+ (default database).

• Optional:

  • PostgreSQL v14+ (for enterprise setups).

  • Redis v6+ (for multi-location sync).

• Python Dependencies:

  • Install via requirements.txt (e.g., TensorFlow, scikit-learn, Pandas).

• OS Support:

  • Linux (Ubuntu 20.04+, Fedora 35+).

  • Windows 10+.

  • macOS 11+ (Big Sur or later).

Building from Source

1. Clone the repository:

   git clone https://github.com/the-real-kodoninja/InventoryManager.git
   cd InventoryManager
   

2. Install Rust dependencies:

   cargo build --release
   

3. Install Python dependencies:

   pip install -r backend/ai/requirements.txt
   

4. Install frontend dependencies:

   cd frontend/tauri
   npm install
   

5. Build the desktop app:

   cargo tauri build
   

6. Build the mobile app:

   cd frontend/flutter
   flutter pub get
   flutter build apk  # Android
   flutter build ios  # iOS (requires macOS)
   

Running the Application

• Desktop:

  ./target/release/inventory-manager
  

• Mobile:

  • Install the APK (Android) or IPA (iOS) on your device.

  • Ensure the device is on the same network as the server (if syncing is enabled).

Usage

Desktop Application

• Login: Authenticate with your credentials (Associate, Manager, or Executive).

• Dashboard:

  • View the 2D SVG or 3D warehouse model (clickable/navigable for details).

  • Access AI-driven charts and metrics (e.g., stock levels, sales trends, optimization suggestions).

  • Manage inventory via list-style data tables.

• Inventory Management:

  • Add, update, or remove items.

  • Scan barcodes to log counts or relocations.

  • Review and approve associate suggestions.

• Reports:

  • Generate custom reports (e.g., low stock, damaged items).

  • Export to CSV, PDF, or Excel.

Mobile Application

• QR/Barcode Scanning:

  • Scan pallet QR codes to view location details.

  • Scan item barcodes to update counts or log issues.

• Inventory Lookup:

  • Search for items by name, barcode, or location.

  • View basic details (Associates) or advanced metrics (Managers).

• 3D Navigation:

  • Explore a simplified 3D warehouse model with touch controls.

  • Tap items for details or suggested actions.

• Notifications:

  • Receive alerts for low stock, discrepancies, or AI-driven tasks.

• Minimal Mode:

  • Toggle for small-scale users (e.g., storage unit resale).

Creating a Warehouse Layout

1. Sketch your warehouse/storage unit (hand-drawn or digital).

2. Upload the sketch to InventoryManager (PNG, JPEG, or PDF).

3. Use the built-in editor to:

   • Trace the sketch into a 2D SVG map and generate a 3D model.

   • Define clickable/navigable areas (e.g., aisles, shelves).

   • Assign location names and metadata.

4. Customize colors, labels, and interactivity for both 2D and 3D views.

5. Save and deploy the layouts to all users.

Managing Inventory

• Add Items:

  • Scan barcodes or manually enter details.

  • Specify quantity, location, and condition.

• Update Counts:

  • Perform cycle counts via mobile app.

  • Log discrepancies with notes and photos.

• Relocate Items:

  • Scan pallets to new locations.

  • Update the 2D/3D layouts and logs automatically.

• Monitor Health:

  • Check dashboards for low stock, merges, or damage alerts.

  • Review AI suggestions for optimization (e.g., move high-demand items).

Development

Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository.

2. Create a feature branch (git checkout -b feature/your-feature).

3. Commit changes (git commit -m "Add your feature").

4. Push to your branch (git push origin feature/your-feature).

5. Open a pull request with detailed descriptions.

Code Structure

InventoryManager/
├── backend/                # Core logic
│   ├── inventory/          # Inventory tracking and logging (Rust)
│   ├── analytics/          # Charting and metrics (Rust)
│   ├── ai/                 # AI-driven features (Python)
│   ├── viz/                # 2D/3D visualization (Rust)
│   └── db/                 # SQLite/PostgreSQL handlers (Rust)
├── frontend/               # UI components
│   ├── tauri/              # Desktop app (Rust + WebView)
│   └── flutter/            # Mobile app (Dart)
├── assets/                 # SVGs, 3D models, logos, templates
├── configs/                # YAML configs for layouts, roles
└── tests/                  # Unit and integration tests

Testing

• Run Rust unit tests:

  cargo test
  

• Run Python AI tests:

  cd backend/ai
  pytest
  

• Run integration tests:

  cargo test --features integration
  

• Test mobile app:

  flutter test
  

Roadmap

• Q2 2025: Beta release with core features (inventory tracking, 2D SVG maps, user tiers).

• Q3 2025: Add AI optimization (Python-powered), 3D models, and small-scale business mode.

• Q4 2025: Support multi-location sync and advanced analytics.

• 2026: Integrate with third-party platforms (e.g., Shopify, QuickBooks).

• Long-Term: Open-source select modules, explore cloud-hybrid mode and VR/AR support.

License

InventoryManager is licensed under the MIT License. See LICENSE for details.

Contact

• Author: Kodoninja

• GitHub: https://github.com/the-real-kodoninja

• Email: contact@kodoverse.com

• Issues: https://github.com/the-real-kodoninja/InventoryManager/issues

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InventoryManager: Transforming chaos into clarity, one barcode at a time.