Space planning is becoming increasingly complex and now requires triangulation of multiple data sources. Processes can be inefficient and include paper-based/manual processes.
Goals and Objectives
Optimize facility designs, floor layouts, stack plans, and seating charts based on configurable parameters. Easily compare scenarios to achieve optimal use of space, given hybrid work models, maximum occupancy limitations, and other local guidelines or laws regarding social distancing and capacity.
Digital twin, AI, machine learning, analytics, location intelligence, cloud, enterprise applications
Use Case Summary
Advanced technology efficiently optimizes buildings and workplaces using dynamic factors to ensure employee safety and productivity as well as dynamically alter the physical space design and create reconfigurable facilities.