Amazon Technologies, Inc.

Sebastian Lehmann

Andrea C Steves

Peter C Fang

Aaron A Eakin

Sunil Ramesh

Nathan John Condie

Derek Cole Singer

Udit Madan

Jon Stuart Battles

Brian J Smith

David Henry Clark

Hong Tian

Dean Christopher Fullerton

Lakshmi S Nidamarthi

Kevin R Vliet

Hardik B Doshi

Subramanian Sundaresan

Rohit K Gupta

Patricia Ty Shigihara

Abhay Murarka

Jaffin James

Brian C Smith

Patricia T Shigihara

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

Techniques are described for automatically identifying and inhibiting suspect electronic communications between users, such as for electronic communications that may reflect fraudulent activities by one or more of the users or that are otherwise inappropriate for one or more reasons. In some situations, the communications may relate to transactions in which the users are involved, such as for users that are buyers and sellers of items interacting via one or more electronic marketplaces. The communications may occur via a communication mechanism provided by an electronic marketplace that acts as an intermediary between the sender of a communication and the one or more intended recipients of the communication. The automatic identification of suspect communications that may be inappropriate includes automatically assessing the communications in one or more ways, and identified suspect communications and any associated inappropriate user activities may be inhibited in various ways.

Inhibiting inappropriate communications between users involving transactions

A pick rate planning system is utilized to determine pick rates needed for the picking of items in a materials handling facility. Critical pull times ('CPTs') are determined which indicate times by which items must be picked from inventory. A picking capacity of the materials handling facility is determined and pick rates are allocated as corresponding to regions of the picking capacity that are associated with the CPTs. As part of the allocating of the pick rates, regions of the picking capacity may have portions that result in a level filling of the picking capacity that minimizes spikes and other undesirable fluctuations.

Materials handling facility pick rate allocation

The disclosure describes, in part, a system and method for improving the stacking of containers on or in a transportation unit. In some implementations, a stacking configuration may be planned that identifies containers and a position for those containers in the stacking configuration. The stacking configuration may be planned based on dimension values of the containers such that when stacked the stacking configuration remains stable. In addition, to improve the efficiency at which containers may be stacked, the disclosure describes that containers and/or the picking of items for those containers may be sequenced so that the containers, when packed and routed, arrive in a manner that allows efficient stacking.

Container stacking configurations

Described herein are systems and techniques for determining a pack station for storing inventory in a materials handling facility, routing item packages to pack stations based on size ranges for custom containers and optimizing dimensions of custom containers based on dimensions of a shipping container. For example, the systems described herein may allocate a percentage of inventory to a custom inventory location that is physically near custom container forming devices, thereby reducing the cost to pick, sort, pack and route items for shipment, storing or otherwise handling in a custom container.

Custom containers in a materials handling facility

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

The disclosure describes, in part, a system and method for improving the stacking of containers on or in a transportation unit. In some implementations, a stacking configuration may be planned that identifies containers and a position for those containers in the stacking configuration. As part of the planning, a volume correction may be identified that if corrected would improve the stability of the stacking configuration. A planned custom container may also be identified and one or more dimension values of the planned custom container modified based on the volume correction. The modified planned custom container may be added to the planned stacking configuration to improve the stability of the stacking configuration.

Custom container stacking configurations

A pick rate planning system is utilized to determine pick rates needed for the picking of items in a materials handling facility. Critical pull times ('CPTs') are determined which indicate times by which items must be picked from inventory. Multiple pick rates that overlap in time are made to have an overall total pick rate that is relatively constant, so as to avoid spikes or other undesirable fluctuations in the overall total pick rate, which improves labor planning. Pick rates for later CPTs are designated as being for that CPT or any earlier CPTs, and all of the pick rates are designated as minimum suggested pick rates. These designations provide the picking scheduler with greater flexibility that results in higher pick density and productivity.

Minimum suggested rate picking

Systems and methods are provided for authenticating a user. In one implementation, a computer-implemented method is provided. According to the method, transaction history information for each one of a set of users is maintained in a storage device. The method provides identifiers associated with items for display and receives, from one of the users, a selection of one or more of the identifiers. The method further authenticates the user as a function of the selection and a transaction history of the user.

Authentication using a transaction history

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.

Growing community of inventors

Seattle, WA, United States of America

Sebastian Lehmann