
The Asset Guardian (TAG) Mobi: Tackle Downtime with TAG Mobi
TAG Mobi is a fully embedded preventive maintenance and asset management (EAM) solution within Microsoft Dynamics 365 Business Central. Designed for modern manufacturing and infrastructure operations, TAG Mobi helps reduce risk, minimize downtime, and streamline maintenance workflows—all from within your existing Business Central environment.
From proactive asset health monitoring and predictive maintenance to real-time mobility and AI-powered adoption tools, TAG Mobi equips maintenance teams with everything they need to boost performance and take control of asset operations.
Key Features:
• Fully embedded in Microsoft Dynamics 365 Business Central
• Real-time mobile access for on-the-go asset tracking
• Predictive maintenance to reduce unplanned downtime
• AI-assisted onboarding for faster adoption
• Advanced APM tools to monitor asset health and anticipate failures
No silos. No extra software. Just a seamless, native experience that empowers maintenance teams and provides managers with the insights they need—right inside Business Central.
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Track every tool, vehicle, and piece of equipment your team owns from a single account. GoCodes is asset tracking software built for contractors, manufacturers, and facilities teams.
Each account includes customizable QR code labels at no extra cost. Scan them with the GoCodes mobile app (4.7 stars on the App Store) or any phone browser. Check-in and check-out takes seconds. Most teams are live within a week.
Need more than QR? Add real-time GPS trackers, Bluetooth beacons, or RFID/NFC tags to the same platform. Four tracking technologies, one system.
Schedule maintenance, log service history, and track warranties and utilization. Build custom reports, rename fields, add your own data points, and lock access with role-based permissions.
GoCodes pairs cloud software, scanner apps, and rugged labels into one package. Start a free trial and see where your assets actually are.
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GE Digital Asset Performance Management (APM)
Enhancing the efficiency of assets is crucial for boosting reliability and availability, lowering expenses, and mitigating operational risks. Asset Performance Management (APM) encompasses a comprehensive collection of software and service solutions aimed at maximizing asset efficiency. By integrating various data sources, APM employs sophisticated analytics to convert data into practical insights, promoting collaboration and effective knowledge-sharing within an organization. Additionally, APM is tailored to improve both asset performance and operational maintenance efficiency across individual equipment, entire plants, and the whole fleet. With features such as Digital Twin analytics, automated work processes, and inherent expertise from GE, APM offers exceptional advantages for contemporary industrial operations, ultimately driving innovation and productivity. As industries evolve, the significance of such systems in ensuring optimal asset management cannot be overstated.
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Siemens APM
APM serves as a catalyst for the shift towards reliability-centered maintenance and risk-based inspections, utilizing advanced tools. This technical analysis emphasizes the application of asset performance management technologies within Industry 4.0, specifically tailored for the Power Generation sector. As we transition from a digitalization framework to full digital transformation, the Digital Twin emerges as a crucial component that provides predictive insights and streamlines daily operations, resulting in improved business performance. By examining the underlying technology, we can visualize and contextualize data precisely when and where it is necessary, enabling effective decision-making in operational, maintenance, and engineering domains. Furthermore, Digital Twins are essential in reconciling capital expenditures with operational expenses, ultimately reducing the overall cost of ownership while maximizing asset returns. This holistic approach not only enhances efficiency but also fosters a more sustainable and innovative operational environment.
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