FRICTIONLESS SHOPPING OF CUSTOM-MADE ITEMS

1 - 64 . (canceled)

65 . A non-transitory computer-readable medium including instructions that when executed by a processor cause the processor to perform a method for updating virtual shopping carts of shoppers with pay-by-weight products, the method comprising:

receiving one or more images captured by one or more image sensors, wherein the one or more images depict product interactions between a store associate and a plurality of shoppers, wherein each of the product interactions involves at least one pay-by-weight product;

analyzing the one or more images to identify the product interactions and to associate the at least one pay-by-weight product involved with each product interaction with a particular shopper among the plurality of shoppers;

providing a notification to the store associate requesting supplemental information to assist in the association of the at least one pay-by-weight product involved with a selected product interaction with the particular shopper among the plurality of shoppers;

receiving the requested supplemental information from the store associate;

using the analysis of the one or more images and the requested supplemental information to determine the association of the at least one pay-by-weight product involved with the selected product interaction with the particular shopper among the plurality of shoppers; and

updating a virtual shopping cart of the particular shopper among the plurality of shoppers with the at least one pay-by-weight product involved with the selected product interaction.

66 . The non-transitory computer-readable medium of claim 65 , wherein the notification is provided to the store associate when the analysis of the one or more images results in an ambiguity level greater than a predetermined threshold with respect to the association of the at least one pay-by-weight product involved with each product interaction with the particular shopper among the plurality of shoppers.

67 . The non-transitory computer-readable medium of claim 66 , wherein the threshold is determined based on price associated with the at least one pay-by-weight product.

68 . The non-transitory computer-readable medium of claim 66 , wherein the threshold is determined based on at least one pending task of the store associate.

69 . The non-transitory computer-readable medium of claim 65 , wherein the store associate is a service robot, and wherein the supplemental information is determined based on an output of one or more sensors associated with the service robot.

70 . The non-transitory computer-readable medium of claim 65 , wherein the supplemental information is provided by the store associate via a computing device.

71 . The non-transitory computer-readable medium of claim 65 , wherein the association of the at least one pay-by-weight product involved with each product interaction with the particular shopper among the plurality of shoppers is further based on scanning of a barcode associated with the at least one pay-by-weight product.

72 . The non-transitory computer-readable medium of claim 65 , wherein the association of the at least one pay-by-weight product involved with each product interaction with the particular shopper among the plurality of shoppers is further based on interrogation of an RFID tag associated with the at least one pay-by-weight product.

73 . The non-transitory computer-readable medium of claim 65 , wherein the notification provided to the store associate includes a request to match a shopper to a specific pay-by-weight product, and the supplemental information includes a gesture by the store associate represented in additional images captured by the one or more image sensors, wherein the gesture enables identification of the shopper that received the specific pay-by-weight product.

74 . The non-transitory computer-readable medium of claim 65 , wherein the notification to the store associate includes identifiers of two or more shoppers and requests that the store associate select which of the two or more shoppers received a specific pay-by-weight product.

75 . The non-transitory computer-readable medium of claim 74 , wherein the identifiers include pictures of the two or more shoppers.

76 . The non-transitory computer-readable medium of claim 74 , wherein the identifiers include shopper id numbers.

77 . The non-transitory computer-readable medium of claim 74 , wherein the two or more shoppers are ranked in the notification based on a determined likelihood that each of the two or more shoppers received the specific pay-by-weight product.

78 . The non-transitory computer-readable medium of claim 77 , wherein the likelihood is determined based on analysis of the received one or more images.

79 . The non-transitory computer-readable medium of claim 77 , wherein the likelihood is determined based on archived shopping behavior for at least one of the two or more shoppers.

80 . The non-transitory computer-readable medium of claim 65 , wherein the method further comprises requesting from at least one of the plurality of shoppers additional information to assist in the association of the at least one pay-by-weight product involved with the selected product interaction with the particular shopper among the plurality of shoppers.

81 . The non-transitory computer-readable medium of claim 80 , wherein the additional information requested from the at least one of the plurality of shoppers is forgone when a credibility indicator associated with the at least one of the plurality of shoppers is below a selected threshold.

82 . The non-transitory computer-readable medium of claim 65 , wherein the at least one of the plurality of shoppers is selected from the plurality of shoppers based on a plurality of credibility indicators associated with the plurality of shoppers.

83 . A method for updating virtual shopping carts of shoppers with pay-by-weight products, the method comprising:

receiving one or more images captured by one or more image sensors, wherein the one or more images depict product interactions between a store associate and a plurality of shoppers, wherein each of the product interactions involves at least one pay-by-weight product;

analyzing the one or more images to identify the product interactions and to associate the at least one pay-by-weight product involved with each product interaction with a particular shopper among the plurality of shoppers;

providing a notification to the store associate requesting supplemental information to assist in the association of the at least one pay-by-weight product involved with a selected product interaction with the particular shopper among the plurality of shoppers;

receiving the requested supplemental information from the store associate;

using the analysis of the one or more images and the requested supplemental information to determine the association of the at least one pay-by-weight product involved with the selected product interaction with the particular shopper among the plurality of shoppers; and

updating a virtual shopping cart of the particular shopper among the plurality of shoppers with the at least one pay-by-weight product involved with the selected product interaction.

84 . A system for updating virtual shopping carts of shoppers with pay-by-weight products, the system comprising:

a memory storing instructions; and

at least one processor programmed to execute the stored instructions to:

receive one or more images captured by one or more image sensors, wherein the one or more images depict product interactions between a store associate and a plurality of shoppers, wherein each of the product interactions involves at least one pay-by-weight product;

analyze the one or more images to identify the product interactions and to associate the at least one pay-by-weight product involved with each product interaction with a particular shopper among the plurality of shoppers;

provide a notification to the store associate requesting supplemental information to assist in the association of the at least one pay-by-weight product involved with a selected product interaction with the particular shopper among the plurality of shoppers;

receive the requested supplemental information from the store associate;

use the analysis of the one or more images and the requested supplemental information to determine the association of the at least one pay-by-weight product involved with the selected product interaction with the particular shopper among the plurality of shoppers; and

update a virtual shopping cart of the particular shopper among the plurality of shoppers with the at least one pay-by-weight product involved with the selected product interaction.

85 - 224 . (canceled)