Patent ID: 11934979
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A method comprising:
receiving labor order data specifying a target number of new hires, wherein the labor order data comprises first site data indicating a first number of target new hires for a first site and second site data indicating a second number of target new hires for a second site;
determining annotated training data comprising a target number of new hires, first candidate fallout data, first seasonality data, and first incentive data, wherein the annotated training data is annotated with a first number of new hire appointments;
determining, for the annotated training data by inputting the target number of new hires, the first candidate fallout data, the first seasonality data, and the first incentive data into a first machine learning model comprising a neural network, a prediction of a second number of new hire appointments;
determining a gradient using a difference between the first number of new hire appointments and the second number of new hire appointments;
updating weights of the neural network using the gradient to generate a first trained machine learning model;
predicting, by the first trained machine learning model, a third number of new hire appointments to offer based at least in part on the labor order data, historical candidate fallout data, seasonality effects, and incentives offered;
allocating the third number of new hire appointments to respective time slots based at least in part on candidate preferences; and
sending data to a first application effective to display a list of available new hire appointment time slots of the respective time slots.