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We build a software application that allows to streamline and optimize maintenance-related operations. It serves as a centralized platform for managing maintenance activities, assets, and resources.
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MySQL
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CLIENT
Goes GmbH
TEAM MEMBERS
4
TIMELINE
2,5 year till now
SERVICES
Full-cycle Development
ABOUT
GOES GmbH is one of the leading manufacturers of pumping and stimulation equipment for the oil and gas industry. They offer hydraulic fracturing, drilling, acidizing, sand control and other well stimulation and pumping equipment and software.

GOES GmbH invited us to build a Maintenance Management System that has to empower organizations to effectively manage assets, monitor maintenance activities, and optimize resource utilization.
SCOPE
We started with full-cycle web application development: requirements gathering, UX/UI prototyping, frontend and backend development, cloud infrastructure deployment, QA, post-production support.
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Asset Management: enabling users to create assets and associate them with subcomponents or parts, facilitating a hierarchical structure for streamlined management.
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Activity Creation and Management: allows creation and tracking of maintenance activities linked to each asset.
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Reporting Capabilities: the system generates detailed reports about activities performed, including the status of maintenance tasks, parts replaced, and overall asset condition, facilitating informed decision-making.
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Work Hours Management: the system includes functionality to manage work hours associated with maintenance activities, aiding in resource allocation.
DEVELOPMENT
Our team conducted in-depth consultations to understand the specific needs and workflows surrounding asset maintenance for our client. Leveraging this insight, we designed a customizable architecture, ensuring the system’s adaptability to varying asset types. The development phase encompassed the creation of an intuitive frontend interface and a robust backend system to handle complex data and user interactions. Rigorous testing was conducted to validate the system’s functionality, data accuracy, and performance across various scenarios.
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