PREDICTING ITEM WEIGHTS USING A TRAINED MACHINE LEARNING MODEL
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United States of America
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Issued Date -
Mar 6, 2025
app pub date -
Aug 31, 2023
filing date -
Aug 31, 2023
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Abstract
An online concierge system compensates pickers who fulfill orders including one or more items based in part on weights of the items included in an order. Because the online concierge system does not physically possess the items that are obtained, the online concierge system cannot directly weigh the items and weights specified for items in a catalog from a retailer may be inaccurate. To more accurately determine weights of items, the online concierge system trains a weight prediction model to estimate an item's weight from attributes of the item and uses the output of the weight prediction model to determine compensation to a picker. The weight prediction model may output a predicted weight of an item or a classification of the item as heavy or light. Where discrepancies are found between a predicted weight and the catalog weight of an item, additional information about the item is obtained.
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