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Vegetation management in power line corridors sounds like a task far removed from the daily reality of the TFL (Transport, Forwarding, Logistics) sector. However, the story of the Gamuza system implementation by the software company IT-solve shows that advanced GIS mapping technologies, database integrations, and automation processes can be successfully applied in other areas as well – from vehicle route optimization to efficient documentation management and coordination of field activities.
Gamuza proves that innovations in mapping, cloud, and process automation can significantly increase the efficiency of any organization, including those in the TFL industry. Strengthening operational control and streamlining information flow can realistically translate into higher profits, as well as greater safety and satisfaction for all participants in the logistics process.
Challenge: streamlining field processes
Even before the implementation of the integrated solution, Gamuza technicians had to manually record the coordinates of trees for felling and then – on their own – search for key information about plots and their owners. In the context of power lines, this created a significant risk of errors and delays, as any inconsistency or lack of updates could lead to costs and administrative problems.
In the TFL industry, such a fragmented, manual work model also occurs surprisingly often. This applies, among others, to transport planning, completing shipping documents, or filling out road sheets. In each of these cases, the lack of automated processes generates similar difficulties: unnecessary bureaucracy, high service costs, and a lack of data consistency.
Comprehensive solution for Gamuza
The cooperation with IT-SOLVE resulted in the creation of a solution that eliminated coordination problems and time-consuming administrative processes. The heart of the project was the integration of the Gamuza system with mapping tools (Quantum GIS, geoportal). In practice, this means the ability to quickly determine plot locations, automatically obtain information about owners, and consequently, efficiently track the entire felling process.
From the perspective of a CTO in a logistics company, this is a ready-made inspiration for similar implementations – regardless of whether it concerns comprehensive supply chain management or advanced mapping of infrastructure assets in road or rail transport.
Key technologies in the project
The Gamuza project utilized a set of tools and services that also perform well in scalable solutions for TFL:
- ASP.NET MVC – a stable backend environment enabling the construction of extensive applications that handle multiple business processes.
- Amazon Web Services (AWS) and Azure – cloud platforms providing high performance and high service availability. Essential for handling extensive field operations and ensuring uninterrupted access to data.
- QGIS (formerly Quantum GIS) – advanced GIS software for visualization, editing, analysis, and publication of geospatial data. In logistics, it is used for analyzing and optimizing logistics networks, managing the supply chain in a spatial context, and visualizing the flow of goods. In transport and forwarding, it is used for direct route planning and optimization, real-time vehicle fleet monitoring, analyzing transport costs by region, and planning multimodal transport connections. QGIS enables the creation of multi-layered maps, integration of spatial data from various sources, and conducting complex spatial analyses that support decision-making processes throughout the supply chain.
- Bootstrap – enables the creation of a responsive interface, which in mobile working conditions also proves effective in applications used by drivers or forwarders.
- PostgreSQL – a high-performance database ensuring efficient management of large volumes of spatial information.
The architecture designed in this way allowed Gamuza to efficiently scale the system, provide continuous updates, and ensure secure data storage. This type of stable technological foundation can prove equally valuable in managing groupage transport networks or international forwarding projects.
Effects of the Gamuza implementation
- Automation of administrative processes
The solution significantly shortened official paths and document exchange. In TFL, this would mean less paperwork and faster confirmation of transport orders.
- Better field coordination
Thanks to integration with mapping databases, field workers have access to up-to-date data in real-time. Similarly, dispatchers in logistics can plan and adjust routes for drivers on an ongoing basis.
- Precise work planning
Quantum GIS allows for precisely indicating where subsequent actions are necessary (e.g., tree felling or line inspection). In TFL, a similar mechanism can be used to designate optimal routes or monitor key transshipment points.
- Flexibility and scalability
Implemented technologies, such as AWS or Azure, handle various load conditions excellently. This is particularly important in the TFL industry with variable traffic intensity and periods of increased demand for transport.
How does Gamuza inspire the TFL sector?
Although Gamuza operates within the energy sector and vegetation management under high-voltage lines, its example proves that a properly designed system based on GIS data and thoughtful process automation can solve similar problems in other areas. For the TFL industry, key factors include rapid information processing, reduction of errors, and smooth coordination of many dispersed activities – from cargo booking by a forwarder to real-time fleet position updates.
The use of mapping and cloud technologies in Gamuza paves the way for easily transferring similar solutions to the field of transport and logistics. This is an opportunity for more efficient route planning, better supervision of orders and the supply chain, or even shortening the time for documentation processing.
