Wharton - AI Autonomous Logistics Integration Platform
Category
Software
mm
/s
Real-time linking


smart logistics, digital twin

WATA AI separates fixed objects from moving objects in real-time collected spatial information and updates the location information of changed logistics in real-time to implement a sustainable digital twin.
Core features
Creating a Digital Twin Workspace
Based on the address of the actual logistics warehouse, a customized workspace can be set up, and the building's exterior shape and number of floors can also be flexibly adjusted according to user requirements. Additionally, by automatically generating a realistic 3D space through integration across various platforms, it is possible to implement realistic logistics simulations and operational environments.
User Management
Users are categorized into three roles: Owner, Admin, and Member, allowing for systematic and efficient user management. Access rights and functional scope are limited according to each role. Moreover, by subdividing the work scope at the workspace, project, and floor levels, roles can be assigned to enhance both collaboration efficiency and security.
Billing Plan Management
Through various billing plans, users can flexibly choose the scale of the workspace and the number of users according to their needs, and by selecting optimized billing plans according to the size of the managed warehouse, cost-effective operation and systematic logistics management are possible.




