Abstract: Methods and systems for automated detection of carton damage are disclosed. One method includes capturing one or more images of a carton via a camera system at a routing location within a warehouse of a retail supply chain, and applying a machine learning model to determine a likelihood of damage of the carton. The method can include, based on the likelihood of damage being above a particular threshold, identifying the carton as damaged. A carton assessment record can be stored in a carton damage tracking database, including the one or more images of the carton alongside the likelihood of damage and the routing location.

Abstract: Generally, the present disclosure relates to solving issues with inefficient management of data within an organization by building a central repository of events within the data ecosystem. The data event management system, disclosed herein, offers a platform agnostic ledger of the data ecosystem that enables data transparency and identifies patterns/bottlenecks to properly adjust to meeting the needs of the data consumer. With this information, data driven decisions can be made to prioritize workload and ensure funding is supporting the consumer prioritized assets.

Abstract: In some implementations, a system for providing interfaces for visualizing and managing a supply chain includes an inventory readiness date system that is configured to generate inventory readiness dates for items in the supply chain. Inventory readiness dates can (i) be calendar dates on which the items are expected to be available for distribution at destination locations, (ii) be generated upon creation of orders for the items, (ii) be configured to remain fixed and unchanged for the items regardless of events affecting delivery of the items to the destination locations. The system can further include a supply chain data system that is configured to receive and aggregate supply chain information for the items from a plurality of supply chain data sources. The system can further include a supply chain tracking system that is configured to generate and present interfaces for visualizing and managing the supply chain.

Abstract: An automated chat conversation platform and method of operation are described. The automated chat conversation platform includes extensible chat interfaces useable for chat session communication with a plurality of third party communication tools, and is designed to be automatically scalable according to a number of chat sessions in existence concurrently. The automated chat conversation platform identifies chat sessions in which user intervention may be important, and allows for selective intervention by user agents.

Abstract: A method includes receiving a first search term and a second search term and using the first search term to search a first system that associates the first search term with a plurality of people to retrieve a respective identifier for each of the plurality of people. The second search term and the plurality of identifiers are used to search a second system that associates the second search term with a second plurality of people. The second system returns a count of the number of people who are in both the first plurality of people and the second plurality of people but is prevented from associating the first search term with a person and from releasing the association between the second search term and the second plurality of people. The count is returned as the number of people who have both the first search term and the second search term.

Abstract: Methods and systems for generating and presenting item recommendations to a user at a retail website is disclosed. One method includes generating a set of item recommendations based on a selected item from a retail website. The method also includes identifying one or more facets in the set of item recommendations, and, for each of the one or more facets, identifying a subset of items from the set of item recommendations affiliated with the facet. The method also includes generating a user interface including the selected item and a recommendation region displaying at least some of the subset of items affiliated with the facet.

Abstract: Systems and methods are provided for automatically analyzing emails that have been flagged as being potentially malicious (e.g., phishing attempts) to determine whether the permit or block the email. The systems and methods can use a scoring framework to determine whether the email is part of a phishing attempt. A set of rules are provided, and points are awarded to the email based on which of a set of rules are satisfied for the email. An email that exceeds a scoring threshold can be identified as a phishing attempt for potential evaluation, and can be routed to a security analyst for further analysis and process. After a predetermined period of time, the system can rerun analysis of emails which have not been identified as phishing attempts and determine if such emails now exceed the scoring threshold.

Abstract: In some implementations, a method performed by data processing apparatuses includes receiving map data that identifies a layout of physical objects within a physical area, identifying contiguous groups of the physical objects as composite objects, selecting bounding algorithms to use for generating graphical shapes for the composite objects, generating graphical shapes by applying the selected bounding algorithms to the composite objects, and testing the graphical shapes against one or more criteria. For candidate graphical shapes that fail a test, a new bounding algorithm can be selected and the generating and the testing can be repeated using the new bounding algorithm. A simplified graphical map can be output that represents the physical objects within the physical area using the graphical shapes.

Abstract: The disclosed application relates to a tool by which a user may create a cloud workspace that includes a data memory space, as well as a tool for automatically identifying ad-hoc analyses on that data. The solution allows a user to connect to data sources using SQL or GUI tools, combine data from different data sources, prepare and clean the data, mine the data for insights, and move that data into downstream reporting tools for visualization. The system is linked to a code repository to allow data scientists to execute code from the code repository in trial data spaces, investigate that data, and prepare more in-depth analytics for downstream reporting tools.

Abstract: A warehouse coordination system performs a simulation of tasks to be performed over a shift for a warehouse process, according to a defined sequence of the tasks and defined resources to be applied to the tasks, and generates simulation output data. The warehouse coordination system stores data that represents the defined sequence of the tasks, data that represents the defined resources to be applied to the tasks, and the simulation output data. The warehouse coordination system receives real-time warehouse data that indicates tasks being performed over the shift. The warehouse coordination system provides data for a performance monitoring interface, and the performance monitoring interface presents, for a plurality of time periods, an amount of tasks that have been predicted to be performed according to the simulation of the tasks, in comparison to an amount of tasks that have been performed according to the real-time warehouse data.