Maritime Service App

An international company operating in the maritime and petrochemical sectors, specializing in technical diagnostics of marine equipment such as electric motors, combustion engines, pumps, and compressors.

Its services are delivered primarily to international clients, where equipment reliability directly impacts operational continuity and cost.

Equipment failures were difficult to predict, and maintenance decisions relied on fragmented data.

The company needed a way to monitor equipment condition continuously and make informed decisions about repairs and replacements before failures occurred.

However, operational data was spread across systems and lacked real-time visibility. This made it difficult to assess equipment condition, prioritise interventions, and plan spare parts procurement effectively.

As a result, maintenance decisions were often reactive, leading to increased failure risk, higher repair costs, and inefficiencies in spare parts management.

To reduce failure risk and improve decision-making, the company needed a system that could consolidate measurement data, interpret equipment performance, and support proactive maintenance planning.

This required:

• continuous access to operational data
• the ability to track equipment condition over time
• clear recommendations on when and where components should be replaced

A web-based application was introduced to provide continuous access to equipment data and support maintenance planning.

The system integrates with an existing database under continuous development, enabling real-time presentation of measurement data, as well as information on spare parts, including pricing and location.

Based on equipment performance, the system supports decisions on when components are likely to fail and where replacements are available, enabling more effective planning of maintenance activities.

The solution combines backend, database, and frontend technologies to support real-time data processing and user interaction:

• Python for backend development and data processing
• PostgreSQL for structured data storage and management
• Angular (TypeScript) for building the web-based user interface

The application provides a consistent and up-to-date view of equipment performance, allowing teams to identify early signs of wear or failure.

Instead of relying on periodic inspections or incomplete data, maintenance decisions are supported by continuously updated measurements and system-generated recommendations.

This improves visibility into equipment condition and enables more accurate planning of interventions.

With continuous monitoring in place, potential defects can be identified at an early stage, before they lead to critical failures.

This allows teams to take corrective action earlier, reducing the impact of failures and improving overall system stability, particularly in critical environments such as ship engine rooms.

Together, these changes improved several key areas of operations:

• Reduced failure rates through early detection of defects
• Faster response to issues, limiting the impact of equipment failures
• Improved operational stability, especially in critical ship systems
• Lower repair costs by preventing large-scale failures
• Optimized spare parts procurement, based on real usage and predicted demand