AI-enabled maintenance platform for maritime, manufacturing and construction
How Netwin built an enterprise maintenance management system with offline-first mobile and built-in AI from predictive alerts to OCR-based parts recognition.
Client
Multi-Site Asset Operator
Industry
Industrial Asset Management
Region
Global
Services
Product Engineering, AI & Mobile
Duration
End-to-end platform build
The Challenge
A core system that couldn't keep up
The client’s lending platform built over twelve years as a single monolithic application had become the biggest brake on the business.
Every release was slow and risky, scaling for peak demand was painful, and the architecture simply couldn’t support the AI and integration capabilities their roadmap demanded. A full rewrite felt too risky to attempt.
Maintenance tracked on spreadsheets & paper
Asset maintenance across maritime shipyards, factories and construction sites relied on manual, paper-based tracking with no central system.
No real-time visibility across sites
Managers had no live view of maintenance status across distributed locations, making prioritisation difficult.
Field teams cut off without internet
Technicians in the field had no access to the system without a live internet connection, stalling work in low-connectivity environments.
Manual parts ordering, prone to error
Procurement relied on manually transcribed serial numbers, introducing frequent ordering errors.
Reactive, not predictive, maintenance
Issues were caught only after failure, with no system flagging risk before it caused downtime.
The Solution
A phased, zero-downtime
transformation
The client’s lending platform built over twelve years as a single monolithic application had become the biggest
brake on the business.
Every release was slow and risky, scaling for peak demand was painful, and the architecture simply couldn’t support the
AI and integration capabilities their roadmap demanded. A full rewrite felt too risky to attempt.
A fully digitised web & mobile system
Replaced spreadsheets and paper with a complete .NET MVC web application and a React Native mobile app delivering full functionality offline, auto-syncing the moment connectivity returns.
AI-powered OCR & predictive alerts
Built an OCR tool that reads serial numbers and part IDs directly from photos, alongside predictive alerts that analyse asset history to flag maintenance needs before failures occur.
Smart scheduling & role-based control
Delivered AI-assisted scheduling that balances technician workload, asset priority and SLA deadlines, governed by a four-tier permission system across Admin, Manager, Supervisor and Technician roles.
THE RESULTS
A core system that couldn't keep up
100%
AI
Offline
<50%
- Maintenance workflows evolved from paper-based processes to 100% digitised operations.
- Traditional maintenance software was replaced with an AI-powered platform for smarter decision-making.
- Field teams moved from desktop-only access to the first offline-capable mobile app.
- Manual maintenance administration was reduced by more than 50% through automation.
Before
100% Manual
Admin Effort
After
<50%
Manual Time Reduced
Technology We Use
The stack behind the build
The platform Netwin built for us is exactly what we needed. The AI-powered features have transformed how our teams work in the field, and the offline mobile app means no job ever stalls for lack of signal.
More Work
Related Case Studies
Deep domain context means we ship the right thing, faster.