A system and method are disclosed for controlling an inventory of point-of-care diagnostic devices. The inventory includes a main inventory and at least one subinventory. Each device has an ambient temperature shelf life. Data associated with the devices is entered, including: the current quantity and predetermined minimum quantity of devices in the main inventory; and the current quantity and predetermined minimum quantity of devices in the subinventory. A first timestamp is associated with each device when the device is transferred from the main inventory to the ambient temperature subinventory. The first timestamp is compared to a second timestamp prior to use of the device to determine whether the device's ambient temperature shelf life is exceeded. The current quantity of devices in the subinventory is updated in response to an event that causes a change in the current quantity of devices in the subinventory.

The location of a container and the location of a storage device that stores a particular item are determined. A determination is made that the particular item is placed in the container. The locations of the particular item and the container are tracked as the container moves through a premises. For a purchase-related transaction, a determination is made whether the location of the particular item corresponds to the location of the container. If the location of the particular item corresponds to the location of the container, a cost for the particular item is included in the purchase-related transaction. If not, the cost for the particular item is not included in the purchase-related transaction, and the location of the particular item is accounted for.

Technology for completing an electronic run ticket is provided. In an example method, user credentials may be received on a client device. A barcode associated with an oil tank may be scanned to identify the oil tank. Fields of the electronic run ticket may be populated based on the identification of the oil tank. Fields of the electronic run ticket may also be populated based on the user credentials.

Systems of demand and capacity management with machine-time accuracy are provided. The system includes an allocation planning module, an order management module, a capacity model, and a capacity management module. The allocation planning module receives a demand plan for a product. The capacity management module transforms the demand plan into a machine-time-based plan according to the capacity model, and reserves capacity according to the machine-time-based plan for the demand plan. The capacity management module further transforms a purchase order received by the order management module before a cutoff date for the product into a machine-time-based order, accepts the machine-time-based order and decreases the reservation capacity depending on the machine-time-based plan.

A computer-implemented framework and method for maintaining product allocation data objects comprising a plurality of product allocation data objects, a plurality of software modules, an interface for the software modules, and a plurality of computer-applications, wherein the product allocation data objects are representative of product allocations for several participants within an e-business system, wherein a product allocation data object is processed by at least one of the plurality of computer-applications, the software modules providing access to the product allocation data objects, and the interface provides concurrent access to the software modules for online collaboration, wherein a collaborative planning process of the product allocation data objects is executed by the software modules and controlled by the applications.

An embodiment includes a method executed by at least one processor comprising: determining inventories for first and second times for a first vending machine (VM); determining inventories for first and second times for a second VM; determining inventories for first and second times for a third VM; and determining a service route to visit the first and second VMs on a specific date, and to specifically avoid visiting the third VM on the specific date, in response to determining the inventories for the second times for the first, second, and third VMs. Other embodiments are described herein.