Blackbox describes an unbiased match engine which preserves the identity of all the parties involved until an anonymity match and mutual interests or deal terms match their individual needs. One match engine system embodiment is known as RoboNegotiator which acts as a third-party negotiator, mediator, broker, introducer and anonymous facilitator operating independently without having business interest with either party and without letting involved parties game the system. A partial compare enables a negotiation for a remaining unmatched data concurrently, in one of an unbiased automated, semi-automated and non-automated modes. The entity requesting matching services will never be sure if there is any matching interest or if all terms and conditions are really met or not. There is no risk of identity exposure if there is no mutual interest or deal and hence the disclosed match engine will also preserve confidentiality of interest, deal terms and dreams.

A method and system for creating and editing video and/or audio tracks is described. The method includes providing at least one artist, venue, and track available for selection and providing at least one clip associated with the at least one artist, venue, and track. The method also includes allowing a user to create a custom track from the at least one clip. The system includes a plurality of video cameras for recording a live performance at a plurality of positions. The system also includes at least one server for storing a plurality of video clips created from the plurality of video cameras and an application stored on the at least one server for allowing a user to access the plurality of video clips via the Internet.

An online system uses, in various embodiments of the invention, credit report information, loan affordability screening and credit approval and management functionality to facilitate the purchase and finance of products online. The online system may include both sellers of products and lenders that offer financing to buyers seeking to purchase the products. The system may automatically obtain a buyer's credit report information and use that information to determine if the buyer is pre-approved, for example, to obtain financing for a particular product or products. The system also enables use of buyer credit information to identify only those of a seller's products for which the buyer is pre-approved, for example, to finance using one or more loans. The system then enables selection of an identified product or products for purchase, and selection of a loan, for example, for financing of the selected product or products. Credit approval (or pre-approval) may be performed automatically, and along with credit processing, may be performed completely online.

A computer program product for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

This disclosure covers systems and methods that generate and train a chatbot to automatically communicate with users concerning subjects related to a digital advertisement received for distribution. In particular, the disclosed systems and methods train a chatbot to simulate common conversation exchanges from messaging threads associated with previous digital advertisements that are similar to a received digital advertisement. By training the chatbot to simulate such conversations, the disclosed systems and methods create a chatbot that can immediately respond to a user's inquiries concerning the received digital advertisement and tailor automated exchanges that further the objectives of an advertiser or merchant associated with the received digital advertisement.

A computer-implemented method for managing real estate information on a social network, comprising: collecting multiple listing service (MLS) data and storing the MLS data on the database server; permitting real estate customers to use the mobile application to communicate with the web server to access the MLS data to identify the at least one open house or showing from the MLS data; permitting real estate agents to use the mobile application to enter check-in and check-out information regarding real estate customers at an open house or showing; and permitting real estate agents to use the mobile application to notify a seller that a respective one of the open house or showing has been concluded so that the seller may reenter a premises of the location of that open house or showing; wherein computer-implementation of the method and use of the networked mobile wireless telecommunication computing device is essential.

A computer system for determining buying online and picking up in store. A computer receives from a shopper a request for buying online and picking up in store. The computer parses stores carrying an item purchased online and connections of the shopper in a social network. The computer provides the shopper with a list of one or more connections for picking up the item for the shopper. The computer sends to one of the one or more connections a token for picking up the item and information of a store where the item is picked up, after the shopper chooses the one of the one or more connections for picking up the item. The computer sends to the shopper a notification, after the item is picked up by the one of the one or more connections for picking up the item.

Some embodiments include a track system comprising: an elevated track system comprising a series of elevated tracks that are positioned elevated above a sales floor and products distributed over at least a portion of the sales floor of a shopping facility, and configured such that multiple motorized transport units travel along the series of elevated tracks in traversing at least portions of the shopping facility.

Systems, apparatuses, and methods for restoring shopping space conditions are provided. A system for restoring shopping space conditions comprises a motorized transport unit comprising at least one sensor, and a central computer system comprising a wireless transceiver for communicating with the motorized transport unit. The central computer system being configured to: identify a section of a shopping space having a dropped item, instruct the motorized transport unit to travel to the section of the shopping space and collect information associated with the dropped item using the at least one sensor, determine a characteristic of the dropped item in the section of the shopping space using the at least one sensor of the motorized transport unit, and select a cleaning task from a plurality of cleaning tasks based on the characteristic of the dropped item.

An application sales management server system that assists B2B online processing related to sales and distribution of applications while making use of a conventional business practice related to B2B is provided. A sales management server system operating in an edge server communicably connected to one or more edge devices is communicably connected to a terminal of an intermediary dealer that relays sales of applications and a terminal of an end user who uses the edge device and the edge server via a communication unit. A control unit includes: an ordering processing unit that notifies the terminal of a serial number corresponding to an application on the basis of an application purchase request from the terminal of the intermediary dealer; and a distribution processing unit that distributes an application corresponding to a serial number to the edge server in response to receiving the serial number transmitted from the terminal of the end user.