A computer-implemented product palletizing system and a method of product palletizing which includes processor in communication with a memory element containing a computer code executable to coordinate the discrete activities of one or more pickers and conveyor product sorting assembly to allocate a plurality of products to a plurality of pallets.

Described is a multiple-camera system and process for determining an item involved in an event. For example, when a user picks an item or places an item at an inventory location, image information for the item may be obtained and processed to identify the item involved in the event and associate that item with the user.

Techniques are provided for data record anomaly reconciliation using machine learning models. One method comprises obtaining a data record comprising multiple line items; assigning the line items to a given cluster of similar line items to determine a line item neighborhood score for each line item based on a comparison of a given line item to other available line items in the assigned cluster; applying features of the data record to a machine learning model to determine a data record score for the data record based on a combination of the line item neighborhood scores for the data record; identifying anomalies in the data record based on the data record score and/or the line item neighborhood scores for the data record; and adjusting parameters of the line items to address the anomalies identified in the data record to produce a reconciled data record, based on the line item neighborhood scores and/or predefined adjustment rules.

Disclosed herein is a system that includes an order processing subsystem and a delivery processing subsystem comprising at least one database and one or more processors. The one or more processors of the delivery processing subsystem is configured to receive a request for a user to access the delivery processing subsystem and a scanning device, authenticate the user by verifying the request with user credentials stored in the at least one database, provide the user with access to the delivery processing subsystem and the scanning device, receive scanned data from the scanning device, retrieve package data regarding a package for an inmate based on the scanned data from the scanning device, and generate, based on the package data, a route in the correctional facility for delivery of the package to the inmate in the correctional facility, wherein the route does not include an identity of the inmate.

An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item. The machine learning model with the refined parameter(s) is then used by the autonomous item generation system to generate fabrication instructions and metadata for an additional item.

The inventive system and method address a long felt need for enhancing the efficiency of systems in the interactive conveyance industry for goods and services by providing for the filtering, selection and securing of conveyance services in accordance with one or more of client and representative preferences in substantially real time.

A system presents, on a user interface, a first message that indicates an operation associates with a memory resource is concluded. The system present, on the user interface, content of the memory resource that comprises a plurality of objects. The system presents, on the user interface, a set of instructions to prepare the plurality of objects in a particular sequence. The system receives a second message that indicates the plurality of objects in ready for pickup by a delivery mechanism. The system presents, on the user interface, an alert message that indicates the delivery mechanism has reached a pickup location coordinate. If the category of the delivery mechanism is an autonomous delivery mechanism, the system presents, on the user interface, a pin number that unlocks the autonomous delivery mechanism.

In one embodiment, a method includes receiving, by a transaction processing system, an order request from a buyer. The order request includes identifying information for the buyer and corresponds to a request for a transaction between the buyer and a seller. The method includes identifying membership program information for the buyer corresponding to a membership program associated with the seller and order preference information for the buyer based on querying a database associated with the transaction processing system using the identifying information for the buyer. The method includes causing an order placement user interface to be presented to the buyer, the order placement user interface comprising data stored in the membership program information. The method includes receiving an order placement request corresponding to the order request via the order placement user interface. The method includes updating the membership program information for the user based on the order placement request.

An online concierge system determines an emotion of a user from inputs received from the user and other contextual information about a user to select items to identify to the user for an order. The online concierge system logs historical data about items included in orders by the user and corresponding emotions of the user and contextual information for the user when the items were included in orders. Subsequently, when the user requests to create an order, the online concierge system determines an emotion for the user and contextual information for the user and selects one or more items included in prior orders when the user had the same emotion and had similar contextual information. The online concierge system transmits information describing one or more of the selected items to a client device of the user for presentation.

A system and method for order retrieval is provided. In some embodiments, the system may comprise a mobile computing device associated with a customer and a computing device associated with a business, such as a restaurant or retail store. The customer mobile computing device may receive identity information associated with the customer, generate a menu, receive an order, provide navigational directions to a delivery zone, receive a preparation timeframe notification, and detect and transmit a preparation timeframe arrival and subsequently, a delivery zone arrival and location of the customer. The business computing device may receive the identity information and the order, adjust a preparation timeframe and the delivery zone, transmit the preparation timeframe notification, receive and display the preparation timeframe arrival and the delivery zone arrival, and complete the order. In further exemplary embodiments, the system may also comprise a printer connected to the business computing device. The printer may receive the identity information and the order and print at least one ticket.