Abstract: Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.

Abstract: Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.

Abstract: Methods and systems for managing attribute data for shipping and handling within a retail supply chain are disclosed. Item attributes of new items are recorded upon first receipt at a distribution center and are stored in a local database. This attribute data is synchronized to a centralized database. Data from the centralized database is pushed out to other distribution centers. The use of a centralized database of item attributes streamlines the process of inputting data for new items. This database is accessible by multiple systems with the supply chain to determine how the items should be processed. A pathfinding system utilizes item attribute data and facility data to determine a processing route for each item passing through a distribution facility.