• Maintenance Performance Dashboard: Consolidates maintenance service performance data across your entire install base, presenting KPI cards, donut charts, and a geographic heatmap grouped by product, product line, region, or account. An AI-powered natural language filter converts plain-text queries into dashboard filters automatically.

• Demand Forecasting: Now incorporates preventive maintenance schedule data alongside historical work order patterns, combining planned and unplanned service demand into a single unified forecast. Parallel ML and PM forecast engines run together to produce more accurate workload projections.

• Salesforce Authentication: Establishes a secure connection between PTC Orbit and ServiceMax Core, enabling the platform to push corrected or enriched data back to Core through HTTP Notifications without manual re-entry.

• Maintenance Effectiveness Score: The packaged maintenance score has been redefined as a weighted formula combining Completed Maintenance Percentage (70%) and On-Time Maintenance Percentage (30%), giving asset managers a more balanced view of maintenance program health.

• Canonical Data Model and Input Data Adapter: Standardizes seven new maintenance plan objects and introduces a dedicated Matillion-based Input Data Adapter to ingest PM data directly from ServiceMax Core.

• Work Order Data Model: Adds calculated fields, including time between repairs, to support richer dashboard analytics and downstream reporting on asset reliability trends.

• Demand Forecast Results: Improves export and review capabilities for forecast outputs, making it easier to share, validate, and manage forecasted demand across planning teams.