Back to results
US 11,537,961 B2Granted
Forecasting system
AssigneeWalmart Apollo, LLC
InventorsTimothy Ryan Hodges, Christopher Wade Spencer
Life of this patent
Estimating the term…
Abstract
Described in detail herein is a forecasting system. In one embodiment, the system can generate forecast data for amount of labor and physical objects needed at various facilities.
Claims20
A forecasting system for forecasting an amount of workers needing to be scheduled at a facility, the system comprising:
- a first set of sensors disposed outside the facility and configured to detect a first set of data, wherein the first set of data is associated with an amount of cars outside the facility used to forecast an amount of workers needed to be scheduled in the facility;
- a second set of sensors disposed inside the facility and configured to detect a second set of data, wherein the second set of data is associated with physical objects disposed within the facility or an amount of customer traffic within the facility;
- a computing system in communication with the first set of sensors, the second set of sensors, and a database, the computing system configured to execute a forecast module that when executed:
- receives the first and second sets of data from the first and second sets of sensors;
- retrieves historical data associated with a plurality of physical objects disposed in the facility;
- generates forecast data indicating the amount of workers needing to be scheduled in the facility for a specified period of time, the forecast data associated with an amount of physical objects of the plurality of physical objects predicted to be retrieved from the facility based on the first set of data, the second set of data, and the historical data;
- determines capacity data based on a maximum capacity of the facility to retrieve physical objects over the specified period of time;
- modifies the forecast data based on the capacity data;
- and
- generates a labor model based on the forecast data, the labor model indicating the amount of workers required to support the forecasted retrieval of physical objects from the facility.
7 more elements
A computing device-implemented forecasting method for forecasting an amount of workers needing to be scheduled at a facility, the computing device including one or more processors, the method comprising:
- detecting, via a first set of sensors disposed outside the facility, a first set of data, wherein the first set of data is associated with an amount of cars outside the facility used to forecast the amount of workers needed to be scheduled in the facility;
- detecting, via a second set of sensors disposed inside the facility, a second set of data, wherein the second set of data is associated with physical objects disposed within the facility or an amount of customer traffic within the facility;
- executing a forecast module on the computing device, the computing device in communication with the first set of sensors, the second set of sensors, and a database;
- receiving, via the forecast module, the first and second sets of data from the first and second sets of sensors;
- retrieving, via the forecast module, historical data associated with a plurality of physical objects disposed in the facility;
- generating, via the forecast module, forecast data indicating the amount of workers needing to be scheduled in the facility for a specified period of time, the forecast data associated with an amount of physical objects of the plurality of physical objects predicted to be retrieved from the facility based on the first set of data, the second set of data, and the historical data;
- determining, via the forecast module, capacity data based on a maximum capacity of the facility to retrieve physical objects over the specified period of time;
- modifying, via the forecast module, the forecast data based on the capacity data;
- and
- generating, via the forecast module, a labor model based on the forecast data, the labor model indicating an amount of workers required to support the forecasted retrieval of the physical objects from the facility.
7 more elements
Dependencies are inferred from the claim text.