Predict


Forecast your Renewal Requirements

The “Predict” functionality leverages degragdion algorithims to forecast Capital needs based on sophisticated service level and health metrics.

This allows users to anticipate maintenance and capital expenditures more accurately, minimising unexpected costs. Predictive insights enable operations teams to focus on preventive actions, extending asset life and reducing downtime.

For financial planners and maintenance managers, this feature brings clarity to budgeting cycles and helps prevent service interruptions. By addressing wear and tear proactively, organisations can lower long-term costs and maintain service quality, aligning with strategic goals for sustainability and efficiency.

Asset Vision provides advanced capability for Strategic Asset Investment forecasting

  • Forecast with confidence with user definable degradation patterns.
  • Manage sustainable Service Levels by comparing alternate intrventions.
  • Right treatment at right time with a variable service level framework.
  • Budget with accuracy Know what’s coming next for your assets.

Asset Vision Empowers Decision Making

Struggling with costly asset failures, scattered data, and reactive maintenance?

Asset Vision is the solution that simplifies asset management, giving you control, efficiency, and total peace of mind. Trusted by large institutions and local and state governments, our platform brings a proactive approach to managing critical assets.

With Asset Vision, you’ll benefit from:

  • Mobile-first design that lets field teams capture data in real-time, even offline.
  • Centralised asset data with integrated analytics for clear, data-driven decisions.
  • Customisable dashboards to effortlessly monitor performance, risk, and costs.
  • Seamless integration with ERP, GIS, and other systems to unify your workflows.

Ready to see the difference? Schedule a free demo today to discover why Asset Vision is the efficient, effective choice for asset managers who want more control and less downtime.