Space planning is a tedious, inefficient operation, relying on manual, paper-based processes, or static digital representations.
Goals and Objectives
Optimize building and facility designs, layouts, and configurations based on configurable parameters and easily compare scenarios.
Digital twin, AI, machine learning, analytics, cloud, enterprise applications
Use Case Summary
Efficiently optimize building space, create plans using dynamic parameters, and analyze multiple scenarios.