Case Study: Vessels Analytics Platform - EffectiveSoft
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Vessels analytics platform

Web-based platform we developed enables comprehensive analysis of vessels market.

Vessels Analytics Platform
Vessels Analytics Platform
    • Client

      A logistics company
    • Solution

      Analytics platform
    • Technology

      Python, .NET, React.js
    • Service

      Web development
    • Domain

    Client and challenge

    Our client is a global leader in container shipping with over 88,000 employees in 130 countries.

    The customer was manually analyzing the ship market using mathematical models and Excel files. The complex process was time-consuming and error-prone and needed to be automated. The client approached EffectiveSoft with a request to implement automated analysis on a web-based platform. We also had to create a user-friendly UI to visualize analytical data.

    Solution

    We developed a comprehensive solution for the vessels market from scratch. Our team designed, built, and tested the software to ensure its seamless operation. During the development of the platform, we integrated mathematical models using Matlab with the .NET framework.

    Along with complex functionality, the solution comprises a complex subsystem that allows users to build Projects in any module, compare them in visual (charts and tables) representation, as well as add any chart from any project to one within the Dashboard with customizable layouts.

    Our innovative solution includes the following modules:

    • Market measures: analyzes market with the help of assessments, indicators, and benchmarks.
    • Vessel Valuation: calculates the vessel value over any period according to the specified parameters.
    • Risk & Opportunity: evaluates market conditions and works out planning strategies accordingly.
    • Core Data: delivers accurate and up-to-date information about vessels, sale transactions, and fixtures.
    • Depreciation: tracks the vessel’s depreciation over a specified period with ease using our charting tool.
    • Investment Analysis: calculates of actual and implied ROI.

    Tech stack

    • Mathematical models and integration:

      • Matlab
      • Python
    • Backend:

    • Frontend:

    • Hosting:

      • Docker
      • Azure

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