Maplebear Inc.

Amirali Darvishzadeh

Krishna Kumar Selvam

Christopher Billman

Ashish Sinha

Qi Xi

Shang Li

David Zandman

A machine-learned predictive model is trained to predict potential for customer complaint. The model is part of an online concierge system. The online concierge system accesses a customer order that includes one or more items. The online concierge system determines input data for an item of the one or more items. The online concierge system determines a prediction value associated with potential for customer complaint for the item by applying the machine-learned prediction model to the input data. The online concierge system provides the prediction value to a picker client device associated with a picker who is assigned the item. The picker client device presents an alert to the picker based in part on the prediction value, and the alert includes a message that is customized to mitigate a cause of potential customer complaint for the item.

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San Jose, CA, United States of America

Amirali Darvishzadeh