Abstract: Embodiments of a collective intelligence experience system and method may include a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide one or more recommended searches to an interface based on collective information and in response to input data at the interface. In some embodiments, with respect to the one or more recommended searches, the system may provide recommendations, advice, associated data, or any combination thereof. In some embodiments, the collective intelligence experience system may determine a true value of a product, a service, or information based on a context of the request at a point in time.

Abstract: Methods and apparatus, including computer program products, are provided for an intelligent, continuously active purchasing assistant. The method may include receiving at least one customer specification from at least one potential customer of an expression of an interest in a purchase, the expression of the interest in the purchase comprising at least an interest lifetime; receiving a customer geolocation; receiving at least one supplier specification from at least one supplier of an inventory item; creating a continuous, real-time distribution channel comprising at least one match of the at least one customer specification and the at least one supplier specification of the inventory item, wherein the real-time distribution channel is sustained during the interest lifetime; and conducting an exchange wherein the inventory item is made available to the at least one potential customer. Related apparatus, systems, methods, and articles are also described.

Abstract: In certain embodiments, a purchase option system may include an interface configured to couple to a network, a processor coupled to the interface, and a memory coupled to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide a graphical interface to a destination device via the interface. The graphical interface can include at least one purchase option of a plurality of purchase options and can include a plurality of selectable options corresponding to each adjustable variable within the plurality of purchase options. The memory may further include instructions that, when executed, cause the processor to receive data corresponding to selection of one of the plurality of selectable options and provide an update to the graphical interface to include at least one different purchase option determined from the plurality of purchase options based on the received data.

Abstract: In certain embodiments, a decision system may allow a user to define a personalized channel based on the user's interests and including associated information. The decision system may subsequently use the personalized channel to determine and present options to the user. In certain embodiments, the decision system may allow the user to share his or her personalized channel with other users and may reward the user when his or her personalized channel is used. Further, the decision system may recommend options for addition to the user's channel.

Abstract: In some embodiments, a system may include a network interface configured to communicate with a network, a processor coupled to the network interface, and a memory coupled to the processor. The instructions, when executed, may cause the processor to automatically grab a selected product on behalf of the user.

Abstract: Systems and methods are disclosed that have and implement persona-based decision assistants and graphical user interfaces. The graphical user interfaces may present a view of one or more decision options and may include one or more user-selectable elements through which a selected decision option may be accessed or modified. In certain embodiments, user selections and similar traveler “look-alikes'” purchase behaviors may be processed to refine a persona corresponding to the search, in parallel to a search occurring and after an initial search result has been presented. In certain embodiments, the graphical user interface may show a subset of possible decision options. In certain embodiments, the graphical user interface may provide a selectable element to modify search, persona, and other preferences.

Abstract: Embodiments of a collective intelligence experience system and method may include a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to provide one or more recommended searches to an interface based on collective information and in response to input data at the interface. In some embodiments, with respect to the one or more recommended searches, the system may provide recommendations, advice, associated data, or any combination thereof. In some embodiments, the collective intelligence experience system may determine a true value of a product, a service, or information based on a context of the request at a point in time.

Abstract: In some embodiments, systems and methods may include receiving feedback corresponding to one or more purchase options from a device. The feedback may include an indication of a purchase option or options perceived to be better by a particular consumer and an explanation of why the option or options is better. The systems and methods may include verifying the feedback, communicating the feedback to one or more suppliers or to the seller's yield management system to obtain competing offers, and communicating data to the device. In some embodiments, the data may include comments related to the “better” option, other information, competing offers, or any combination thereof.

Abstract: In some embodiments, a system may include an interface configured to communicate with a device through a network. The system may further include an artificial intelligence engine configured to identify information corresponding to at least one of a potential renter and a first rental property and assess and value the information based on a context from which the information is identified. The artificial intelligence engine may also determine a recommendation corresponding to the renter or the rental property and may provide an interface to the device including the recommendation and a justification for the recommendation. In some embodiments, the system may automatically negotiate on behalf of one of the potential renter and the property owner and may selectively initiate communications between the potential renter and the property owner.

Abstract: Methods and apparatus, including computer program products, are provided for an intelligent, continuously active purchasing assistant. The method may include receiving at least one customer specification from at least one potential customer of an expression of an interest in a purchase, the expression of the interest in the purchase comprising at least an interest lifetime; receiving a customer geolocation; receiving at least one supplier specification from at least one supplier of an inventory item; creating a continuous, real-time distribution channel comprising at least one match of the at least one customer specification and the at least one supplier specification of the inventory item, wherein the real-time distribution channel is sustained during the interest lifetime; and conducting an exchange wherein the inventory item is made available to the at least one potential customer. Related apparatus, systems, methods, and articles are also described.

Abstract: Methods and apparatus, including computer program products, are provided for continuous dual push sales. The method may include, inter alia, determining a continuous real time distribution channel, comprising at least one match of said at least one customer specification and said at least one supplier specification, wherein said real time distribution channel determination comprises at least a dynamic pricing of the set of the desired item, upsells and cross-sells; conducting a sale wherein the offered item of said determined real time distribution channel is made available to said at least one potential customer; collecting non-winner data from said at least one potential customer that was not selected as the at least one winning customer; and delivering the collected non-winner data to said at least one supplier. Related apparatus, systems, methods, and articles are also described.