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AssigneeOracle International Corporation
InventorsJennifer Darmour, Loretta Marie Grande, Ronald Paul Lapurga Viernes, Jingyi Han, Nicole Santina Giovanetti, Jason Wong, Min Hye Kim
Estimating the term…
Techniques are disclosed for training a machine learning model to select a route for performing tasks in a target set of inventory tasks. The machine learning model may be trained by obtaining training data sets that include characteristics of previously performed tasks by one or more task performers. Example characteristics may include locations associated with the previously performed tasks, a duration of time taken to perform the previous tasks, a route taken to perform the tasks, a sequence in which tasks a set of tasks were performed, and attributes of the task performers themselves. The machine learning model may be trained using these training data sets and the applied to a received set of target tasks. The trained machine learning model may then generate a route and/or sequence in which the tasks of the target set of tasks may be performed.
One or more non-transitory computer-readable media storing instructions, which when executed by one or more hardware processors, cause performance of operations comprising:
A method comprising:
Dependencies are inferred from the claim text.