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Rail Terminal Management Software
- Industry Transportation & Logistics
- Target audience Eastern Europe
- Duration 2021-2022
The management system for rail terminal – maximising production and reducing cost
- Cost Savings Reducing costs on fuel and shipment transit times
- End-to-end visibility A real-time visibility across all rail partners in one location
- Efficiency Efficient and precise selection of options through tendering
- Predictive maintenance AI maintenance can reduce the risk of delays
- Business Intelligence KPI reports in minutes
How LocoLogistics works
- Step 1 The appdivcation for the shipment
- Step 2 Railway track and cargo allocation
- Step 3 Tendering on railcars
- Step 4 Railcars arrival tracking
- Step 5 Loading
- Step 6 Cargo weighing and document management
- Step 7 Tracking
- Step 8 Notification & statistics
Problems
- Improper usage of wagons resulted in delays, loss of time and resources, and raised costs for the railway delivery service;
- The absence of a unified management system, transparency, oversight, and an inefficient process were all identified.
Objectives
- optimization of all systems of the rail terminal;
- Enhancing overall operational efficiency and cost reduction by automating processes and minimizing manual errors;
- Providing real-time visibility and tracking of the entire delivery process for better monitoring and control;
- Offering predictive analytics and maintenance services that examine sensor data from railway operations.
Key solutions
- Ordering process
- Smart tendering
- Yard management system with Digital twin
- Electronic document management system
- Business Intelligence performance metrics
- Monitoring and notification system
Key solutions
Development process
Strategy
- Discover product requirements;
- Defining stages of development;
- Project estimation;
Immersion
- Business analysis;
- Value proposition Canvas
- Competitor analysis;
- SWOT analysis;
Focus
- User flows;
- Information & Database architecture;
- JTBD framework;
Process
- Prototypes & validation;
- UI Design;
- Software development;
- Usability testing;
LocoLogistics integrations analysis
- AI Artificial Intelligence
- RPA Robotic process automation
- DT Digital Twin
- IOT Internet of Things
- AI-Powered retrospective analysis can improve efficiency and ensure quality control. It allows for the monitoring of fleet diagnostic data, reducing breakdowns, predicting maintenance needs, and optimizing servicing schedules to keep trains operational and on schedule.
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Real-time tracking, management, and task competition with Digital twin
By connecting to live data feeds through IoT sensors, a digital twin enables the tracking and management of ongoing processes in real time, providing complete visibility and control.
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More effective operations teams with a Digital Twin
The 3D environment is easier for operators to work in, reducing training times by 20%-40% and minimizing errors due to quicker 3D orientation. In some cases, savings can be realized on surveillance staff costs.
- RPA automates rule-based tasks performed on a computer using structured data already present in the system.
Problem framing and prioritization
By collecting and analyzing data on user feedback and complaints, performance metrics, and competitor analysis, we were able to identify and define the issues that were affecting rail cargo delivery. By addressing the most critical problems first, we were able to quickly improve service performance, enhance the customer experience, and increase overall satisfaction.
Usability testing report
The testing was conducted remotely, and data from the testing sessions was recorded, including observations of participant behavior and any verbal comments made during each task. The following is a partial report of the testing results.
Tasks
- Time-saving: Participants reported that the automatic allocation feature saved them a significant amount of time compared to manual allocation.
- Automatic allocation is more accurate: it reduces the risk of errors and improves overall efficiency.
- Customization: The automatic allocation feature could be further improved by allowing users to customize the allocation criteria to better match their specific needs.
- Integration: Integrating the automatic allocation feature with other parts of the CRM, such as reporting and analytics, could provide users with additional benefits and insights.
- Time-consuming process: Participants reported that creating a new tendering request and uploading data was a time-consuming process.
- Inconsistent data quality: The quality of uploaded data was inconsistent, leading to errors and delays in the tendering process.
- Streamline the process: The process of creating a new tendering request and uploading data should be streamlined to minimize the time and effort required.
- Improve data quality: Measures should be taken to improve the quality of uploaded data to reduce errors and delays in the tendering process.
- Complex tracking process: Participants reported that setting up tracking for the cement plant and filtering required columns in the table was a complex process that required significant time and effort.
- Difficulty in finding required data: Participants found it difficult to locate the required data in the table, leading to errors and delays in decision-making.
- Simplify the tracking process: The process of setting up tracking for the cement plant and filtering required columns in the table should be simplified to reduce the time and effort required.
- Improve data accessibility: Measures should be taken to make it easier for users to find and access the required data in the table. This could involve providing more intuitive search functions or restructuring the table to make it easier to navigate.
Prototypes
As the cargo is being loaded onto the wagons, the system tracks the progress and provide real-time updates to all parties involved. The system automatically records the number of wagons loaded, along with other relevant information such as the weight and dimensions of the cargo.
Users can easily create and manage tender requests by specifying the shipment stations, routes, and other relevant details. The system will then match the tender request with carriers who meet the specified requirements.
The system provides real-time tracking of wagons, manages demurrage charges, and tracks wagon ownership to optimize resources and ensure timely delivery of cargo by rail.
Users can customize the spreadsheet view to display different columns of information based on their role and specific needs.
The dashboard displays key metrics and information in a customizable and user-friendly format, enabling users to stay informed and make data-driven decisions to optimize their operations and provide high-quality service to their customers.
