MACHINE LEARNING MODEL FOR ADDING AN ORDER TO A SET OF EXISTING ORDERS BEING SERVICED BY A PICKER OF A FULFILLMENT SYSTEM

MACHINE LEARNING MODEL FOR ADDING AN ORDER TO A SET OF EXISTING ORDERS BEING SERVICED BY A PICKER OF A FULFILLMENT SYSTEM

An online concierge system receives information describing the progress of a picker servicing a batch of existing orders and a service request for an order. The system identifies picker attributes of the picker and order attributes of the order and each existing order of the set and accesses a machi...

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Bibliographische Detailangaben
Hauptverfasser: Selvam, Krishna Kumar, Bowman, Sawyer, Shi, Ziwei, Rose, Nicholas, Shahriar, Tahmid, Dutta, Shouvik, Sampat, Ajay Pankaj, Ryan, Kevin Charles
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:An online concierge system receives information describing the progress of a picker servicing a batch of existing orders and a service request for an order. The system identifies picker attributes of the picker and order attributes of the order and each existing order of the set and accesses a machine learning model trained to predict a likelihood the picker will accept an add-on request to add the order to the batch of existing orders. To predict the likelihood, the system applies the model to the picker attributes, the progress of the picker, and the order attributes. The system determines a cost associated with sending the add-on request to the picker based on the likelihood and assigns the order to a set of orders based on the cost. The system sends the add-on request to the picker responsive to determining the order is assigned to the batch of existing orders.