Maritime Intelligence & Maintenance Forecast Platform

Business Objective Develop an automated platform that: Monitors vessels globally. Identifies vessels approaching significant maintenance milestones. Identifies vessels entering drydocks, repair facilities and shipyards. Estimates future maintenance and survey events where schedules are not publicly available. Identifies fleet operators with multiple vessels approaching maintenance programs. Identifies organisations responsible for the vessels. Produces daily and weekly intelligence reports. Prioritises opportunities using configurable scoring criteria. Core Requirement 1: Survey & Docking Intelligence The primary purpose of the system is to identify vessels approaching significant maintenance activity. The platform should identify or estimate vessels approaching: 5-Year Events Intermediate Surveys Class Surveys Drydock Surveys Planned maintenance periods Refurbishment activities 10-Year Events Special Surveys Major class renewals Life extension programs Retrofit projects Major overhaul programs Modernisation projects The system should provide visibility of future opportunity windows wherever possible. Core Requirement 2: Predictive Maintenance Forecasting Where direct scheduling information is unavailable, the platform should estimate future maintenance events using available vessel data. Potential inputs may include: Vessel build date Vessel age Historical docking records Historical survey records Classification information Previous maintenance intervals Vessel type Example output: Predicted Opportunity Vessel: Example Explorer Built: 2018 Current Age: 8 years Predicted Major Maintenance Window: Q2 2028 Confidence Score: 84% Core Requirement 3: Fleet Planning Intelligence The platform should identify companies with multiple vessels approaching significant maintenance events. Example: Fleet Opportunity Company: Example Marine Fleet size: 45 vessels 7 vessels approaching 5-year maintenance cycle 4 vessels approaching major survey cycle Multiple vessels expected to enter repair facilities within next 24 months Priority Level: High The goal is to identify fleet-wide business development opportunities, not just individual vessel events. Vessel Monitoring System should monitor: Commercial shipping fleets Offshore support vessels Ferries Passenger vessels Government fleets Defence support vessels Tankers Bulk carriers Tugs Dredgers Special purpose vessels Coverage should be worldwide. Opportunity Scoring Engine Create a configurable scoring system based on: Vessel age Time since build Docking history Survey cycle timing Shipyard arrivals Repair facility arrivals Fleet maintenance programs Vessel type Geographic region Historical maintenance patterns Users must be able to modify weighting and scoring rules. Contact & Organisation Intelligence Where available, provide: Vessel owner Fleet operator Ship manager Technical manager Fleet manager Company website Country Fleet size The objective is to connect identified opportunities with the responsible peoplein our organisation. Reporting Automated reports should be delivered by email. Example: High Priority Opportunities Vessel Example Explorer Current Age: 9.5 years Predicted Maintenance Window: Q2 2028 Current Destination: Singapore Opportunity Score: 92% Organisation Example Shipping Ltd Fleet Size: 38 vessels Multiple vessels approaching survey cycles within 24 months Recommended Action: Business development engagement recommended. Dashboard Develop a web-based dashboard displaying: Vessel Name IMO Number Vessel Type Vessel Age Owner Manager Current Location Destination Predicted Maintenance Window Opportunity Score Filters should include: Region Country Vessel Type Fleet Owner Maintenance Window Arrival Date Opportunity Score Preferred Technology Developer may propose architecture. Current preference includes: Python Microsoft 365 Power Automate Azure Power BI SQL Database Open to alternative recommendations. Data Sources Developer should recommend appropriate maritime data sources. Examples may include: AIS providers Vessel movement databases Port schedules Repair facility schedules Maritime intelligence providers Classification databases Public maritime information sources Ongoing operating costs should be minimised wherever practical. Deliverables Fully functioning production platform Automated email reporting Opportunity scoring engine Predictive maintenance module Fleet intelligence module Searchable database Dashboard Documentation Administrator training Full source code handover Success Criteria The platform should enable users to: Identify vessels approaching significant maintenance events. Predict future maintenance opportunities. Identify fleets with multiple upcoming maintenance requirements. Identify responsible organisations and relevant contacts. Receive actionable business development intelligence ahead of maintenance activity. Prioritise opportunities globally using automated reporting and scoring. Important Note The system should focus on predicting future maintenance opportunities rather than merely reporting vessel arrivals. The most valuable output will be identifying vessels and fleet operators likely to be planning maintenance, survey, repair, retrofit, refurbishment or lifecycle activities over the next 6-36 months.