A device receives third-party boycott data associated with a merchant, and receives customer preference data associated with a customer of the merchant. The device processes the third-party boycott data and the customer preference data, with a machine learning model, to identify a boycott of the merchant that is predicted to be of interest to the customer. The device provides, to a user device of the customer, information identifying the boycott of the merchant and information that solicits the customer to indicate whether the customer desires to join the boycott, and receives, from the user device, information indicating that the customer desires to join the boycott. The device causes a transaction account associated with the customer to be restricted from a transaction with the merchant when the information indicates that the customer desires to join the boycott.

An adaptive collaborative platform applies various machine learning techniques to correlate potential purchasers with high-value articles of property that may be of interest. Attributes, characteristics, preferences, and the like of a potential purchaser are scored against attributes and features of articles. The platform learns from interaction by the agents and the potential purchasers and adapts to become more attuned to the desires and lifestyle of purchasers and to gain more and more pertinent information from the listing agents regarding high-value articles, so as to ultimately to arrive at a better match between a high value article for sale and a likely purchaser.

Systems and methods for selling virtual items on multiple online sales platforms simultaneously are disclosed. Exemplary implementations may: receive a sales request that indicates the selling user will be offering for sale a particular virtual item through at least two online sales platforms simultaneously; assign ownership of the particular virtual item temporarily to a holding account; generate sales listings of the particular virtual item for publications on the at least two online sales platforms; effectuate the publications of the sales listings; receive indications of offers to purchase the particular virtual item; determine an accepted offer that is accepted; notify the at least two online sales platforms of whether the offers have been accepted or denied; identify a buyer's account of the buying user; effectuate assignment of the ownership of the particular virtual item to the buyer's account.

A method for matching a client with a service provider is provided. The method includes receiving a request for a service from a client device, selecting one or more service providers based on the location indicated for the service, comparing the request to one or more profiles for the one or more service providers and to available services times, generating at least one bid for the service based on the one or more profiles, and sending the at least one bid to the client device. Sending the at least one bid includes obfuscating, to the client device, the identity of the one or more service providers corresponding to the at least one bid. The method also includes receiving from the client device a selection of one of the at least one bids and sending to the client device the specific identity of the one or more service providers.

Provided is an agent robot control system comprising an acquisition unit which acquires a purchasing master list which shows a user's purchase merchandise candidates, and a control unit which generates a purchasing execution list for recommending, from the purchasing master list, purchases for select merchandise to be performed at real storefronts and for recommending purchases for other merchandise to be performed at online storefronts.

An information processing apparatus comprises a controller configured to acquire a purchase history of products purchased by a user in a past, make a determination, based on the purchase history, that there is a target product that is purchased by the user on a regular basis, and make a proposal to the user, based on a result of the determination, to purchase the target product using a periodic purchase service.

A customer service support system includes a position information acquisition unit that acquires position information of a visitor terminal carried by a visitor, and a customer service support unit that transmits customer service support information to a store clerk terminal used by a store clerk for work in response to determining, based on the acquired position information, that the visitor terminal stays in a predetermined area in a store space for a predetermined time or longer, the customer service support information being indicate that it is time for the store clerk to approach the visitor and perform customer service.

A service dispatching system and method configured to match customers and service providers. The service dispatching system comprises a server in communication with customer systems and provider systems. Upon receiving a service request from a customer system, the server dispatches the service request to a number of provider systems meeting the requirements established by the customer system. If a provider system accepts the service request, the server may further dispatch the service request to a sub-user of the provider system.

Implementations of a method of adding an item to an online shopping cart may include providing a sales communication interface on a portable computing device associated with a sales representative. During a video, audio, or video and audio connection, the method may include receiving an item scan request, receiving a scanned item code at a web server, forwarding the scanned item code to a database server, retrieving a retailer item identity associated with the scanned item code, and forwarding the retailer item identity to the web server, the portable computing device, and a computing device associated with an online shopper. The method may include receiving a request to add an item associated with the retailer item identity to a shopping cart associated with a website controlled by a retailer that owns the item. Adding the item to the shopping cart may be done without intervention by the online shopper.

An online system may receive, from a content provider, a content presentation campaign that includes one or more objectives. The online system may define a set of one or more policy functions that automatically controls the content presentation campaign. A policy function may control one or more criteria in bidding content slots. The online system may monitor a realized outcome of the content presentation campaign. The online system may apply a reinforcement learning algorithm in adjusting the set of policy functions. The reinforcement learning algorithm adjusts one or more parameters in the set of policy functions to reduce a difference between the realized outcome and the desired outcome set by the content provider. The online system generates an adjusted set of policy functions and uses the adjusted set of policy functions in bidding content slots to present one or more content items provided by the content provider.