Amazon Technologies, Inc.

Andrea C Steves

Sebastian Lehmann

Sunil Ramesh

Nathan John Condie

Derek Cole Singer

Various embodiments of a system and method for generating a delivery plan for multi-tier delivery schemes are described. Embodiments may include generating a delivery plan for a region including multiple delivery locations. The delivery plan may specify at least one agent delivery route within the region. The delivery route may include at least one shipment acquisition location coinciding with an expected travel route of a vehicle conveying shipments. The agent delivery route may be traversed by an agent that is to deliver a specific group of shipments acquired from the vehicle at the shipment acquisition location. Embodiments may include selecting the specific group of shipments for delivery on the delivery route. The selecting is based on a time constraint for delivering the group of shipments to respective delivery locations along the delivery route, and historical delivery time information for previous deliveries to the delivery locations along the delivery route.

System and method for generating a delivery plan for multi-tier delivery schemes

Disclosed are various embodiments for identifying clusters of user accounts who have similar purchase histories and generating product assignments for products identified in the purchase histories. The clusters of user accounts may depict an affinity towards a first type of product while depicting an aversion to a second type of product. The first type of product and the second type of product may have one or more opposing attributes. Product assignments for the products may be generated based on attributes of the products, product categories associated with the products, or the clusters.

Identification of product categories

A system and method for receiving data representing a product label associated with a product and extracting product information from the data. An updated product profile including the product information may be generated if a confidence score associated with the product information is greater than or equal to a threshold value. The updated product profile may be used to populate an e-commerce website wherein a customer may purchase the product.

Product image information extraction

A system and method for receiving an image of a product's packaging and extracting information (e.g., a set of facts) associated with a product from the image. The extracted information associated with the product may be added to a product profile if a confidence score associated with the extracted information is greater than or equal to a threshold.

Disclosed are various embodiments for identifying product categories to which products are assigned. At least one attribute associated with a product is received. A determination regarding whether the attribute is associated with a product category is made. An assignment to the product category is made if the attribute is associated with the product category.

Disclosed are various embodiments for performing an analysis on images of a product packaging. Capture of at least one image of at least one side of a packaging in initiated. An image analysis is performed on the at least one image. Product attributes are detected based at least upon the at least one image analysis and associated with the product in a data store.

Identification of product attributes

A system and method for receiving an image of a product's packaging and extracting information (e.g., a set of facts) associated with a product from the image. The extracted information associated with the product may be stored in an attribute data store and used to populate an online catalog. In addition, one or more labels (e.g., certification logos or identifiers) may be extracted from the image and added to the attribute data store.

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Seattle, WA, United States of America

Andrea C Steves