The present invention relates generally to a system and method for sorting, ranking, and presenting and/or recommending multiple products for purchase having different labels in a coherent and structured way, and more specifically a system and method to generate marketing communications which display labels and/or wine labels based on an affinity system and ranking to help consumer and buyer select and purchase wine using either a digital interface or even in the course of normal retail buying process to select appropriate product.

A method is provided for determining an order fulfillment by a simplified fulfillment deciding engine or a full fulfillment deciding engine. This method includes several steps, including determining whether the number of nodes considered in making the fulfillment order decision of the current order can be a second number of node decisions, automatically transmitting the current order to one of a simplified fulfillment deciding engine and the full fulfillment deciding engine, the simplified fulfillment deciding engine considering the second number of node decisions in making the fulfillment order decision, wherein the current order is transmitted to the simplified fulfillment deciding engine when the number of node decisions is equal to the second number of node decisions.

Novel tools and techniques are provided for implementing stored-value instrument purchase functionality for online shopping systems. In various embodiments, a computing system might assess content and/or information presented in a checkout page of a retailer website, the checkout page listing items selected by a user for purchase and a total purchase amount. The computing system might autonomously modify the checkout page by generating a user-selectable option therewithin, the user-selectable option comprising an option to purchase the items using a gift card available for purchase from a service provider. In response to selection of the user-selectable option, the computing system might provide a purchase interface that presents the user with a process to purchase a gift card having a gift card value. After completing purchase of the gift card, the computing system might apply the gift card value toward the total purchase amount within the checkout page.

Real time item listing modification is described. A listing modification system receives, via a real time communication protocol from a client device, user interaction data that describes an item listing of a network-based commerce system currently being accessed at the client device. The user interaction data further describes an identity of a user of the client device and a mariner in which the user of the client device interacts with the item listing. A modification user interface is generated for output at a different computing device and configured to present the user interaction data together with controls that are selectable to cause modification of the item listing output to the client device. The modified item listing is selectively output to only the client device, such that other computing devices simultaneously accessing the item listing are not updated to display the modified item listing.

A method and system for undertaking a transaction in a Three-Dimensional (3D) interactive environment. The method includes invoking, by a processor associated with a system, from a source application, using a widget, a metaverse environment from a plurality of available metaverse environments, the invocation of the metaverse environment enabling a user to undertake experiential experiments on a plurality of products that form part of the invoked metaverse environment. The method includes selecting one or more products based on the experiential experiments. Further, the method includes processing, by the processor, in the invoked metaverse environment, using a meta-cart checkout engine of the invoked metaverse environment, purchase transaction for the selected one or more products, wherein the meta-cart checkout engine places the selected one or more products into a cart along with transmitting 3D metadata associated with the one or more products to a server.

A transaction session is established directly or indirectly between a wearable processing device and a cloud-based server of a store. During the session, items are recognized by placing the items in a field-of-view of a front-facing camera of the device. Item recognition does not require item barcode identification. A depth sensor associated with the camera creates a three-dimensional mapping of a given item. The mapping and image features are processed to uniquely identify the item even when the item is associated with a same category of items. Customer input during the session can be achieved through gestures (hand, eyes, head, fingers, etc.) and/or voice commands. The customer input is translated and mapped into transaction interface commands/options and processed during the session to select items, delete items, view a transaction receipt, identify a quantity of items, obtain item details for a given item, etc.

Systems and restaurant locations for use with a mobile ordering system, and methods thereof, to provide at least more time-efficient pick up of orders by customers than with traditional ordering and pick up windows.

Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support smart drive through and curbside delivery management. Aspects leverage cameras, computer vision, and machine learning/artificial intelligence to efficiently assign customers to various waiting locations (e.g., drive through lanes, parking spots, etc.) based on factors such as types of orders, customer priority, fulfillment rates at the waiting locations, and queue lengths at the waiting locations. Cameras positioned proximate to customer interface device(s) and waiting locations provide image data that is used to perform computer vision operations to generate vehicle identification information, such as a license plate number or vehicle color. The vehicle identification information and order information is provided to client devices at the assigned waiting location to enable employees to prepare and deliver the order to the customer vehicle. Image data may also be processed to track whether a customer travels to an assigned location.

A tool for dynamically booking, from an autonomous transportation vehicle, a secondary transportation vehicle. The tool identifies a route for the autonomous transportation vehicle transporting one or more products from a first location to a second location. The tool publishes the one or more products online as available for purchase. The tool identifies a customer order for the one or more products. The tool requests a secondary transportation vehicle to deliver the one or more products to fulfill the customer order. The tool instructs the secondary transportation vehicle to retrieve the one or more products to fulfill the customer order from the autonomous transportation vehicle. The tool instructs the secondary transportation vehicle to deliver the one or more products from the autonomous transportation vehicle to a delivery location to fulfill the customer order.

A method for determining whether shoppers are eligible for frictionless checkout is disclosed. The method may include obtaining image data captured using a plurality of image sensors positioned in a retail store; analyzing the image data to identify at least one shopper at one or more locations of the retail store; detecting, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store; based on the detected at least one product interaction event, determining whether the at least one shopper is eligible for frictionless checkout; and in response to a determination that the at least one shopper is ineligible for frictionless checkout, causing delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.