Generation and assignment of expiration status checking tasks using a machine learning model to predict item freshness
AssigneeMaplebear Inc.
InventorsErica Jazayeri Quintana, Brent Scheibelhut
Life of this patent
Estimating the term…
Loading patent…
AssigneeMaplebear Inc.
InventorsErica Jazayeri Quintana, Brent Scheibelhut
Estimating the term…
Generation and assignment of expiration status checking tasks using an item freshness model is described. Candidate perishable items are identified to check for expiration at a source location associated with a source computing system. The candidate perishable items are applied to an item freshness model to generate scores for the plurality of candidate perishable items. Based in part on the scores, one or more of the candidate perishable items are selected as one or more perishable items for a picker to check for expiration status. Instructions are provided to a picker client device associated with the picker to check the one or more perishable items for expiration status. Expiration status data is received from the picker client device describing whether each of the one or more perishable items are expired. The expiration status data is provided to the source computing system.
A method, performed at a computer system comprising a processor and a non-transitory computer readable medium, comprising:
A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor of a computer system, cause the computer system to perform steps comprising:
A computer system comprising:
Dependencies are inferred from the claim text.