Machine learning model for adding an order to a set of existing orders being serviced by a picker of a fulfillment system

A computer program product comprising a non-transitory computer-readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps comprising:

• receiving, at an online concierge system, information describing a progress of a picker servicing a set of existing orders;
• receiving a service request for an order placed with the online concierge system;
• identifying a set of picker attributes of the picker and a set of order attributes of the order and each existing order of the set of existing orders being serviced by the picker;
• accessing a machine learning model trained to predict a likelihood that the picker will accept an add-on request to add the order to the set of existing orders being serviced by the picker, wherein the machine learning model is trained by:
• receiving historical data describing acceptance, by pickers, of add-on requests to add orders to sets of existing orders being serviced by the pickers, and
• training the machine learning model based at least in part on the historical data;
• applying the machine learning model to a set of inputs to predict the likelihood that the picker will accept the add-on request to add the order to the set of existing orders being serviced by the picker, wherein the set of inputs comprises the set of picker attributes, the progress of the picker, and the set of order attributes of the order and each existing order of the set of existing orders being serviced by the picker;
• determining a cost associated with sending the add-on request to a client device associated with the picker, the cost determined based at least in part on the predicted likelihood;
• assigning the order to a set of orders included among a plurality of sets of orders based at least in part on the determined cost, wherein the plurality of sets of orders comprises the set of existing orders being serviced by the picker;
• determining that the order is assigned to the set of existing orders being serviced by the picker;
• and
• responsive to determining that the order is assigned to the set of existing orders being serviced by the picker, sending the add-on request to the client device associated with the picker, wherein sending the add-on request causes the client device to display the add-on request with an option for the picker to add the order to the set of existing orders.

A computer system comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium storing instructions that, when executed by the processor, perform actions comprising:
• receiving, at an online concierge system, information describing a progress of a picker servicing a set of existing orders;
• receiving a service request for an order placed with the online concierge system;
• identifying a set of picker attributes of the picker and a set of order attributes of the order and each existing order of the set of existing orders being serviced by the picker;
• accessing a machine learning model trained to predict a likelihood that the picker will accept an add-on request to add the order to the set of existing orders being serviced by the picker, wherein the machine learning model is trained by:
• receiving historical data describing acceptance, by pickers, of add-on requests to add orders to sets of existing orders being serviced by the pickers, and
• training the machine learning model based at least in part on the historical data;
• applying the machine learning model to a set of inputs to predict the likelihood that the picker will accept the add-on request to add the order to the set of existing orders being serviced by the picker, wherein the set of inputs comprises the set of picker attributes, the progress of the picker, and the set of order attributes of the order and each existing order of the set of existing orders being serviced by the picker;
• determining a cost associated with sending the add-on request to a client device associated with the picker, the cost determined based at least in part on the predicted likelihood;
• assigning the order to a set of orders included among a plurality of sets of orders based at least in part on the determined cost, wherein the plurality of sets of orders comprises the set of existing orders being serviced by the picker;
• determining that the order is assigned to the set of existing orders being serviced by the picker, and
• responsive to determining that the order is assigned to the set of existing orders being serviced by the picker, sending the add-on request to the client device associated with the picker, wherein sending the add-on request causes the client device to display the add-on request with an option for the picker to add the order to the set of existing orders.