Stay up to date with the latest insights, tips, and updates from Aiventic. Read about AI in field service, industry trends, and best practices.
Learn how AI can help field service technicians improve their first-time fix rates and reduce callbacks.
Discover the top AI tools that field service technicians can use to streamline their work, improve efficiency, and deliver exceptional customer service.
Learn how AI diagnostics can help reduce HVAC service callbacks and improve customer satisfaction.
AI, IoT sensors and digital twins predict equipment failures, reduce downtime and cut maintenance costs with real-time monitoring and machine learning.
Learn how ML uses real-time sensor data to predict maintenance, cut downtime, and boost generator performance and energy efficiency.
Compare top predictive maintenance platforms—their IoT/AI features, pricing, and use cases—to find the best fit for scaling maintenance operations.
How Explainable AI (LIME, SHAP, counterfactuals) clarifies failure causes, boosts technician trust, cuts callbacks, and shortens repair time.
How predictive analytics reduces downtime, improves first-time fix rates, optimizes resources, cuts costs, and boosts customer satisfaction in field service.
AI improves diagnostics, boosts first-time fix rates, and uses predictive maintenance and smarter parts management to cut field-service repair costs by ~30%.
Checklist to set baselines, track AI-specific KPIs (FTFR, MTTR), calculate ROI, and monitor progress to achieve measurable AI returns in field service.
Customers now expect fast, transparent field service with real-time updates, self-service, and first-visit fixes—AI and predictive tools help companies keep up.
How voice assistance boosts field service: hands-free guidance, faster jobs, fewer callbacks, lower admin time, and safer work in HVAC and appliances.
AI-driven real-time scheduling, diagnostics, and voice tools reduce drive time, raise first-time fix rates, and cut field service costs.
How automated generator dispatch reduces response time from 45 to 3 minutes, cuts fuel and admin costs, boosts first-time fix rates, and scales with AI routing.
Machine learning and IoT sensors enable condition-based maintenance by predicting failures, reducing downtime, and cutting maintenance costs across industries.
Stay up to date with new features and improvements
Recent changes and improvements to Aiventic
Photo-based context setting via data plate images for improved diagnostics
+10 more added
Fixed job upload failures for Excel (.xlsx) files
+13 more fixed
Team contact management with full CRUD operations for team owners
+18 more added
Content-disposition header issues for download endpoints
+12 more fixed
Clear/Reset button functionality for Cart feature
+1 more added
Chat v2 context API connectivity issues
+2 more fixed
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