TRACTR Network model
TRACTR Network Model is built to create an adaptive marketplace for shared space resources. Instead of focusing on solutions for individual buildings or independent users of the buildings, we use an AI-guided discovery process to find and optimize the benefits of using a network of shared spaces.
Traditionally resources are acquired or arranged within a single building. Network model focuses on effectiveness and access both internal and external resources. Resource network is planned on a system level (platform) and resources shared between different functions in different locations. This resource sharing makes it an adaptive network. Adaptiveness lowers the risks of owners and users, as the network enables flexibility based on the chasing needs.