We built a cloud-based saas asset management software solution for a UK-based industrial maintenance firm specializing in plant reliability and balancing machiness. The tool replaces outdated MS Access and Excel workflows with a modern SaaS solution that enables real-time equipment health monitoring, automated reporting, and predictive maintenance. It leverages Angular, ASP.NET Core, and SQL Server to offer a secure, scalable, and role-based experience. Users can visualize alarms, assess machine trends, collaborate via messaging, and log reports instantly. This digital asset management software with reporting/analytics improves operational oversight and supports multi-location teams with data-backed maintenance insights.
The client relied on Excel and Access for asset tracking, which lacked automation, trend visibility, and alert mechanisms resulting in missed red flags and reactive rather than preventive maintenance. Transitioning to an IT asset management SaaS platform enabled automated tracking, data-driven workflows, and actionable insights that Excel simply couldn’t deliver.
Without dynamic alarm visualization, critical anomalies were often overlooked. This delayed reporting cycles and extended asset downtimes, leading to unnecessary costs and reduced operational efficiency. The adoption of a fleet management software SaaS system introduced real-time alerts, anomaly detection, and custom reporting dashboards that kept operations proactive and data-informed.
Team communication was siloed with no unified platform to log observations, share files, or automate notifications—creating bottlenecks in the asset maintenance and reporting process. A centralized fleet management SaaS platform enabled seamless collaboration, ensuring every stakeholder had access to real-time updates and shared data streams.
There were no integrated insights to spot long-term equipment trends or forecast failures. Maintenance was driven by fixed schedules rather than performance data or threshold breaches. With IT asset management SaaS tools and predictive analytics, the client could transition from reactive repairs to condition-based, predictive maintenance for better uptime and lower costs.
We delivered a centralized, real-time saas asset management software that digitizes workflows, alerts teams to risks instantly, and supports scalable maintenance with role-based access, analytics, and reporting automation.
We built a custom wizard that enables admins to generate machine health reports from the latest readings, visualize alarms, and consolidate trends—eliminating manual entry and improving report accuracy.
Users can comment on assets, upload documents, and receive automated email alerts based on platform activity—creating a seamless communication channel for all asset-related workflows.
A dynamic alarm interface displays Green, Amber, and Red statuses per asset, helping users prioritize actions and reduce unplanned outages through proactive alerts and color-coded risk indicators.
Advanced monthly and yearly visualizations highlight recurring issues or at-risk equipment. This enables early intervention and integrates predictive logic into scheduled maintenance strategies.
Generates historical asset health reports with trend graphs and alarm data. Version control ensures each update is logged and visible, streamlining regulatory compliance and internal documentation.
Integrated dashboards analyze health over 12 months using ApexCharts. Users can filter by asset, alarm level, or time frame to explore patterns and identify anomalies in seconds.
Each machine has a unique QR code for on-the-spot access to its history, alerts, and documentation—empowering field technicians with quick, contextual visibility.
Admins assign roles by company, asset, and function—ensuring controlled access across distributed teams and enhancing accountability in task execution and system updates.
Supports exporting reports or asset tables in XLS/CSV format—useful for audits, compliance, and internal tracking across systems that still depend on standardized spreadsheet formats.
ASP.NET Core 2.1 APIs
Entity Framework Core
Web API
Microsoft SQL Server
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DAL (Data Layer)
Swagger
OpenAI
JWT Auth
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BAL (Business Logic)
NLog
Angular
MySQL 8.0
ExcelJS
ngx-qrcode
Automating health tracking and reports accelerated internal review cycles. Teams gained faster access to equipment data, allowing quicker decisions and more accurate maintenance scheduling.
The transition from spreadsheets to a centralized saas inventory management software eliminated repetitive data entry, minimized human errors, and unlocked time for more strategic asset management.
Early-warning analytics helped flag issues before they became failures, increasing proactive maintenance actions and significantly reducing unexpected machine downtimes
Historical asset files, readings, and comments were migrated into a searchable, filterable digital system—enhancing accessibility, accuracy, and auditability.
With browser-based access, technicians and managers across locations could log in anytime, monitor assets, assign tasks, and respond to alerts in real time.
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Discover how a unified, intelligent SaaS platform can transform your asset tracking, reporting, and predictive maintenance strategies—no more spreadsheets or delays.
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