Next-Generation AI Logistics SolutionsLogiNX

AI Connects and Optimizes Every Aspect of Logistics Operations

The logistics field is now entering a new era of evolution with AI.

LogiNX provides real-time visibility and efficiency across everything from workforce allocation and warehouse inventory to vehicle movement, dramatically improving overall logistics performance.

Optimize Warehouse Workforce Management

AI estimates the necessary number of staff based on shipping volume and workload, and automatically suggests optimal shifts. This ensures appropriate staffing levels, improving operational efficiency. Additionally, facial recognition-based attendance tracking and workflow analysis provide real-time visibility into site activity, eliminating inefficiencies and imbalances. This supports stable operations and optimized labor costs.

  • Shift Optimization Based on Workload Prediction

    Using historical shipment data and seasonal factors, AI forecasts workloads and calculates required personnel automatically. This avoids both overstaffing and understaffing, reducing operational waste.

  • Attendance Management with Facial Recognition

    Tracks employee entry and exit using facial recognition, preventing timecard fraud or missed punches. Work status is visualized in real time, significantly reducing administrative overhead.

  • Workflow Efficiency via Movement Path Analysis

    AI and cameras analyze worker movement paths, identifying unnecessary travel and idle time. These insights drive layout improvements and better task allocation, enhancing overall efficiency.

Automate Truck Berth Allocation

AI monitors vehicle arrival times and berth utilization in real time, and automatically assigns each truck to the optimal berth. This significantly reduces truck waiting times and improves loading and unloading efficiency. Additionally, it prevents uneven use of berths, maximizes overall logistics throughput, and helps alleviate on-site congestion while reducing time-related costs.

  • Real-Time Berth Allocation Based on Arrival Prediction

    AI tracks vehicle location and traffic conditions to predict arrival times. It automatically assigns available berths accordingly, drastically reducing idle time.

  • Visualizing and Balancing Berth Usage

    Each berth’s real-time usage is monitored to prevent uneven allocation. By avoiding congestion at specific berths, work efficiency is distributed evenly and total throughput improves.

  • Smooth Vehicle Guidance via Logistics Partner Integration

    Expected vehicle information is linked with the system beforehand. Upon arrival at the gate, automatic instructions are sent to the driver. This minimizes confusion and waiting lines, reducing on-site congestion.

Improve Inventory Accuracy and Speed

With AI and sensor integration, inventory conditions are monitored with high accuracy in real time. Automated check-in/check-out tracking and streamlined audits significantly increase speed and precision. AI can also analyze historical trends to predict demand and recommend optimal reorder timing, minimizing stockouts and overstock.

  • Real-Time Inventory Visualization

    Cameras and sensors connected with AI provide real-time inventory data in the warehouse. Manual input errors and time lags are eliminated, ensuring constantly accurate stock information.

  • Cameras and sensors connected with AI provide real-time inventory data in the warehouse. Manual input errors and time lags are eliminated, ensuring constantly accurate stock information.

    Using barcodes and RFID, AI automatically recognizes inventory movement. This reduces audit workload and allows for immediate detection of unauthorized removals or shipping errors.

  • AI-Based Demand Forecasting and Restocking Suggestions

    AI learns consumption patterns from past sales and seasonal trends, proposing ideal restocking timing. This helps minimize both stockouts and overstock, ensuring stable supply chains.

Smarter Vehicle Management

By leveraging AI and GPS, the current location, travel route, and estimated arrival time of vehicles can be visualized in real time. This enables swift dispatch management and timely response to delays, as well as accurate instructions to drivers. Centralized management of vehicle operations leads to improved operational efficiency and enhanced service quality.

  • Real-Time Vehicle Monitoring with AI and GPS

    With GPS and AI-equipped management systems, the current location, driving route, and estimated time of arrival for each vehicle can be monitored in real time. This enables immediate response to delivery delays or issues, significantly improving the efficiency and reliability of fleet management.

  • Analysis of Driver Behavior

    AI detects and records driving behaviors such as sudden braking or rapid acceleration to support safe driving. Individual driving reports can be used for training and performance evaluation, contributing to accident prevention and overall quality improvement.

  • Predictive Maintenance and Fault Detection

    AI analyzes sensor data to detect early signs of mechanical issues or deterioration. In addition to regular inspections, it enables maintenance at optimal timing, minimizing the risk of downtime.

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