Empowering Industry 4.0, IOT, Tracking &
Predictive and Prescriptive Analytics with Digital Twin Studio

Digital Twin Studio^® Open Architecture enables it to interact with a multitude of RTLS and data systems – RFID, BarCode, GPS, PLC, WMS, EMR, ERP, MRP, or RTLS systems

• Provides Real-Time visualization of the operation in 2D, 3D, and VR
• Interactive entity properties lookup and display
• Simultaneously Connects to different RTLS tracking systems
• Auto-Generates entity relationship across data systems for Traceability
• Generates Heatmaps, congestion maps, and collision points
• Highlights bottlenecks and delays in Real-Time

Digital Twin Studio can replay and animate all past events through 2D, 3D and VR.

 

Select the time period to replay and watch the operation animate with full analysis capability. There is no limit on the replay period, or replay speed. Need to identify why orders were delayed last week, just replay the data set and watch the operation's progress.

Using the same replay engine, you can connect to the live system and view the operation, live, in real time, on your desktop. Use the VR glasses to walk the operation, check status and more.

 

Using the built in AI engine, Digital Twin Studio integrates proactive alerts with elevation. Alerts are sent via email or text messages. Alerts may also be automatically elevated based on system condition and alert severity.

 

Real-time predictive analytics deliver insights via notifications when issues are identified before they occur with state of the art Digital Twin Technology

Simple drag and drop dashboard builder with unlimited layout capabilities

• Built in gauges, charts, grids and reports
• Ability to export data set on demand
• Connectivity to multiple data sources, including SQL, Oracle and other data warehouses
• Real-time dynamic update per dashboard component
• Role based Permission control for each dashboard item
• Mobile friendly view

Real-Time Optimization generates a number of Actionable Potential Improvements

Intelligent models consistently learn from the current environment, re-adjust on-the-fly and consistently perform validation, analysis, and optimization without user intervention.