Bby Solutions, Inc.

Rambabu Raipati

Brent Shiely

Rick E Allan

David R Leeder

Pranab Koner

Stacey Langer

Trevis Williamson

Vyas Mohan Mohan

Bradley K Struble

Tanmay Sinha

Jeffrey D Rathburn

Nicholas E Oswald

Jude Miron

Amy Williams

Kurt Martinson

Bradley R McBeath

Vaibhav Agrawal

Jason Peterson

Features for adaptation and control of a graphical user interface (GUI) and GUI functionality are disclosed herein. In an example, a user interface control is provided in a GUI to receive interaction from a user, which is provided in an enabled state to offer functionality for the user to attempt an initial commerce action with a constrained item. The user interface control is changed from the enabled state to a disabled state, in response to receipt of the interaction from the user, and a delay time period is calculated for the disabled state (with the delay time period being uniquely calculated for the user). The user interface control is changed from the disabled state to the enabled state, upon expiration of the delay time period, and the enabled state of the user interface control provides functionality for the user to perform a commerce action with the constrained item.

Method, medium, and system for a dynamic user interface control for efficient and controlled ordering

A system and method are presented for using a plurality of data caches to increase the efficiency of a computing system in an e-commerce environment. Separate caches with distinct time-to-live values are created, one each for customer information, customer cart contents, and product pricing data. Product pricing is pre-analyzed using a pricing data engine that calculates multiple potential prices for a single item that is then stored in the product pricing data cache. This data can then be used in a variety of contexts to determine different pricing for the same product without requiring another request for product data from the pricing data engine. When a product is viewed during catalog browsing, all information needed to determine pricing for that particular user might be accessible from the data caches for fast processing.

System and method for caching of data in a computer system

Techniques and system configurations for use of cached data to generate and present a schedule or other availability information for delivery and service scheduling of a product are disclosed herein. In an example, electronic operations used for offering cached availability information in a user interface include: obtaining service information to identify a service for a product (such as installation or removal) that can accompany, precede, or follow, delivery of a product; obtaining customer information to identify a geographic location to perform the service for the product; retrieving, from a cached data store, availability information to perform the service for the product based on the geographic location and the service information; and presenting the availability information to perform the service in association with the delivery of the product. With this technique, a calendar or schedule can be produced from cached data, without requiring multiple requests to a scheduling system.

Cached data representations for service schedule availability

Systems and techniques for large product pre-sourcing search engine are described herein. A location may be determined for a user of an application. A search query may be received via the application. Search results may be returned based on the search query which may include a product with special handling constraints. A local availability may be determined for the product with special handling constraints using the location of the user. A delivery availability may be determined for the product with special handling constraints using the location of the user. The search results may be output to a user interface of the application including the local availability and the delivery availability.

System, method, and manufacture for a large product presourcing search engine

Techniques and system configurations for demand-based product sourcing in an electronic commerce setting is described herein. In one example, information about an item corresponding to a plurality of fulfillment locations is stored in a database. The information includes a plurality of transit times and a plurality of transit costs corresponding to each of the plurality of transit times. A subset of transit times is selected upon receiving a location of a user. A subset of transit costs corresponding with the subset of transit times is selected. An indication of a selection of a transit time is received. The indication includes the item, a quantity of the item, and a destination. A preferred fulfillment location of a subset of fulfillment locations is calculated, the calculating using the transit time, the location, and a selection rule, wherein the selection rule is generated using a plurality of selection attributes.

Demand-based product sourcing

Growing community of inventors

Lakeville, MN, United States of America

Rambabu Raipati