Abstract: Systems, methods, and other embodiments associated with long-term predictions for specific maintenance within a planned maintenance schedule. In one embodiment, a method includes updating a failure probability curve for a component part of a device based at least in part on data obtained from a sensor associated with the component part; determining based at least in part on the updated failure probability curve that a likelihood of failure for the component part following a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold; and transmitting a work order for specific maintenance to reduce the likelihood of failure of the component part to be performed during the first upcoming planned maintenance.

Abstract: Systems, methods, and other embodiments associated with long-term predictions for specific maintenance within a planned maintenance schedule. In one embodiment, a method includes updating a failure probability curve for a component part of a device based at least in part on data obtained from a sensor associated with the component part; determining based at least in part on the updated failure probability curve that a likelihood of failure for the component part following a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold; and transmitting a work order for specific maintenance to reduce the likelihood of failure of the component part to be performed during the first upcoming planned maintenance.

Abstract: Systems, methods, and other embodiments associated with providing long-term predictions for specific maintenance are described. In general, the system or method will: Retrieve a current amount of usage for a component part of a device, a failure probability curve for the component part, and a planned maintenance schedule for the device. Update the failure probability curve based on trends of data obtained from sensors associated with the component part, and causal factors associated with the device. Determine that the likelihood of failure for the component part after a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold. Generate a work order for specific maintenance on the component part to be performed during the first upcoming planned maintenance. Transmit the work order to cause resources to be timely obtained and labor allocated to perform the specific maintenance during the first upcoming planned maintenance.

Abstract: Systems and methods are provided for capturing product indications from an Internet of Things connected device to estimate supply and replenish. An indication can be received from the IoT connected device located at a location, wherein the indication corresponds to a product stocked at the location. A plurality of indications corresponding to the product can be captured over a period of time. A supply level of the product at one or more warehouses can be established based on the indications, wherein the one or more warehouses supply the location with the product. Computer code can be executed to generate an instruction to ship the product from a supplier to the one or more warehouses based on the estimated supply level. The product can be shipped from the supplier to the one or more warehouses based on the executed computer code.

Abstract: Systems, methods, and other embodiments associated with providing long-term predictions for specific maintenance are described. In general, the system or method will: Retrieve a current amount of usage for a component part of a device, a failure probability curve for the component part, and a planned maintenance schedule for the device. Update the failure probability curve based on trends of data obtained from sensors associated with the component part, and causal factors associated with the device. Determine that the likelihood of failure for the component part after a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold. Generate a work order for specific maintenance on the component part to be performed during the first upcoming planned maintenance. Transmit the work order to cause resources to be timely obtained and labor allocated to perform the specific maintenance during the first upcoming planned maintenance.

Abstract: Systems and methods are provided for capturing product indications from an Internet of Things connected device to estimate supply and replenish. An indication can be received from the loT connected device located at a location, wherein the indication corresponds to a product stocked at the location. A plurality of indications corresponding to the product can be captured over a period of time. A supply level of the product at one or more warehouses can be established based on the indications, wherein the one or more warehouses supply the location with the product. Computer code can be executed to generate an instruction to ship the product from a supplier to the one or more warehouses based on the estimated supply level. The product can be shipped from the supplier to the one or more warehouses based on the executed computer code.