The system includes a plurality of toy construction elements, a scanning device operable to capture a digital representation of a toy construction model constructed from one or more of said tov construction elements, and a processor. The processor is configured to determine, from the digital representation, one or more attribute parameters, each indicative of a respective attribute derivable from one or more toy construction elements in the toy construction model. The processor is further configured to determine, based on the determined one or more attribute parameters, a selection of one or more items selected from a choice of items. The selection provides a definition of the one or more deliverables. The system further comprises transmission means adapted to pass the definition to a production facility for producing and configuring the one or more deliverables in agreement with the definition.

Systems and methods electronically provide information regarding digital rules related to a potential relationship instance. Users often wish to know which digital rules apply to a specified item before engaging in a relationship instance with a host entity regarding the item. The system and methods described herein allow a computing facility to identify an item and receive resource information related to the item and the digital rules applicable to the item.

An online concierge shopping system identifies recipes to users to encourage them to include items from the recipes in orders. The online concierge system maintains user embeddings for users and recipe embeddings for recipes. For users who have not placed orders, recipes are recommended based on global user interactions with recipes. Users who have previously ordered items from recipes are suggested recipes selected based on a similarity of their user embedding to recipe embeddings. Users who have purchased items but not from recipes are compared to a set of similar users based on the user embeddings, and recipes with which users of the set of similar users interacted are used for identifying recipes to the users. A recipe graph may be maintained by the online concierge system to identify similarities between recipes for expanding candidate recipes to suggest to users.

A system and method for expediting fulfillments of online ordered dual-commerce available deliverables at one or more expedited service areas (ESAs) of a networked venue facility associated with an ecommerce service provider (ESP) where a sequenced deliverable pickup fulfillment or procurement access is provided within a specified time-window, and/or by delivery fulfillments made to specific locations.

A system and method for expediting fulfillments of online ordered dual-commerce available deliverables at one or more expedited service areas (ESAs) of a networked venue facility associated with an ecommerce service provider (ESP) where a sequenced deliverable pickup fulfillment or procurement access is provided within a specified time-window, and/or by delivery fulfillments made to specific locations.

Systems and methods are described for providing an enhanced rebate and marketing program which may automatically enroll a consumer in a loyalty programs after the consumer completes rebate form; filter consumer information to provide to customer relationship management campaigns; capture real-time consumer responses to queries; provide real-time and dynamic, targeted offers and other communications to consumers and recipients; and provide bonus added value to consumer received rebates.

A method for comparing decision options automatically determines factors for a set of decision options. Each of the factors defines a respective attribute of the set of decision options. The method provides the factors to a graphical user interface. The method receives a user preference value for at least one factor. The method then normalizes an attribute value of each factor. The method calculates a user preference score for each decision option as a function of the user preference value and the normalized attribute value for each factor. The method ranks the set of decision options based on the calculated user preference score for the subject decision option relative to each other decision option of the set of decision options. The method provides a ranked list of the set of decision options to the graphical user interface in response to ranking the set of decision options.

A method for comparing decision options automatically determines factors for a set of decision options. Each of the factors defines a respective attribute of the set of decision options. The method provides the factors to a graphical user interface. The method receives a user preference value for at least one factor. The method then normalizes an attribute value of each factor. The method calculates a user preference score for each decision option as a function of the user preference value and the normalized attribute value for each factor. The method ranks the set of decision options based on the calculated user preference score for the subject decision option relative to each other decision option of the set of decision options. The method provides a ranked list of the set of decision options to the graphical user interface in response to ranking the set of decision options.

A system and method for automated securities trading is provided. The system includes a lead trader account database, a follower account database, and a trade determination system. Trade information is received from a lead trader and a listing of followers for the lead trader is retrieved from the lead account database. For each follower, their account at the follower account database is accessed to confirm that they desire to participate in the lead trader's trade and that they have enough funds to do so. The lead trader and follower's traders are then grouped together and traded as a single trade. The traded shares are then provided to the lead trader and followers at the average price of the trade.

A floor cleaning machine having an intelligent system including a recovery tank sub-assembly, a vacuum fan sub-assembly, a solution tank sub-assembly, wherein the solution tank sub-assembly preferably includes a secondary electrochemical cell, a solution flow sub-assembly, a control console sub-assembly, a frame and wheel sub-assembly and/or a frame and transaxle sub-assembly, a scrub head sub-assembly, a scrub head lift sub-assembly, a squeegee sub-assembly, a solution flow sub-assembly, and an intelligent system associated with at least one of the above-identified sub-assemblies, wherein the intelligent system at least one of selectively gathers, obtains, monitors, stores, records, and analyzes data associated with components of the floor cleaning machine assembly, and at least one of controllably communicates and disseminates such data with at least one of another system and user.