Put Your Facilities Data to Work with These New Features
Work Order (WO) Summaries
WO summaries comb through your data to automatically generate a clear narrative of the work order history. Facility managers can quickly review the most relevant information at a glance, which empowers them to make faster and better decisions about approvals, dispatches, or escalations. If more detail is needed, managers can dive deeper into the WO record or use the AI tool to ask specific questions.
Predictive Maintenance
Predictive maintenance aims to address what would be a maintenance emergency, before it happens. Ecotrak AI can review maintenance history, spending patterns, and asset data to identify assets at risk of failure. To explore the ROI of a maintenance activity, you can use predictive intelligence to forecast costs of repair compared to downtime. These tools help your team make proactive decisions to stay ahead of operations, instead of trying to play catch-up.
Intelligent Insights and Image Recognition
With expanded AI capabilities analyzing your asset and work order data, your team can turn data into actions with just a few prompts. A technician can easily pull up an asset’s repair history, and a manager can check trends in open work orders across locations. AI tools can also extract information from images of invoices, proposals, and equipment labels, bringing that information into your maintenance platform without manual data entry.
AI-Powered Troubleshooting
Ecotrak's AI Troubleshooting feature, powered by ChatGPT, combines equipment history from the Ecotrak platform with AI-powered support recommendations. This can identify troubleshooting steps before a WO is submitted, potentially reducing unnecessary truck rolls and solving problems faster.
Proposal and Invoice Intelligence
Your system already contains historical proposal and invoice information that can be useful for future budgeting and evaluation. With AI tools, this data can become referenceable benchmarks about vendor pricing, flagging overscoping or providing recommendations whether to approve or reject proposals.
Service Provider Recommendations
Machine learning powers Ecotrak’s Service Provider Recommendations, and facilities managers can review data-driven vendor suggestions for their specific problem. This tool makes provider decisions easier by ranking vendor location, repair history success rate, specialty, and reviews. Reduce the time it takes to dispatch and improve your repair success rates by connecting with the right vendor.
Intelligent Energy Monitoring and Anomaly Detection
Your energy data isn’t just useful for your budget — it can also inform a cost savings strategy. An AI tool can be used to analyze usage patterns and flag any anomalies in real time, helping your facilities team proactively address energy inefficiencies and reduce utility costs over time.
