A method for reward-based surrogate shopping may include receiving remote orders from remote shoppers, each including order parameters defining items for purchase and a desired date or time of day of fulfillment of the remote order, receiving assignment requests from surrogate shoppers, each including request parameters identifying a brick-and-mortar store and a desired date or time of day for fulfilling by the surrogate shopper of one or more remote orders, comparing the received remote orders with the received assignment requests and pairing together ones in which at least one order parameter matches at least one request parameter, and for each matched pair, receiving a completion indicator identifying fulfillment by the surrogate shopper of the remote order paired therewith, and providing a reward to the surrogate shopper for completion of surrogate shopping at the identified store for the paired remote order.

Disclosed herein is a method to facilitate a user, interested in buying and selling of a real estate, with a catalogue of personals enlisted as real estate agents using a communication device interconnected over a social computing based environment. The method provides through a social computing based means. The means, wherein the user creates a user account and the user account enables the user to access the social computing based means; the social computing based means provides information associated with the user, facilitate communicate and interaction with other users having account associated with the social computing based means. Furthermore the method through the social computing based means provides a means to the user to post at least one information item over the social computing based means, view at least one information item posted by other users and web feeds.

Disclosed herein are methods for providing a buy option to social networking communications. The method includes communicating with a social networking site that posts text, images and/or videos from posting entities to receiving entities. The posting can have data that points to a product in a product database. The data determines whether there is a sale-related intent. The data is used to access a database of products for sale from a merchant. When the sale-related intent applies, the system transmits the posting through the social networking site with a buy button associated with the transmission such that a recipient can easily purchase a product.

Technologies are shown for artificial intelligence agents for predicting items of interest utilizing multiple data sources, such as historical user behavior, item wear profiles, inventory data and social network data. User models to the multiple sources of data to predict an item of interest to the user. Search requests pertaining to the predicted item can be generated and submitted to electronic commerce platforms and results responsive to the first set of search requests pertaining to the first predicted item received. In one aspect, one or more of the search results can be selected for display to the user. A search result selected by the user can be received and a purchase transaction committed. In another aspect, the agent is authorized to autonomously execute a purchase transaction on a selected one of the search results. Different model types can be utilized for predicting different types of items.

Aspects are disclosed that facilitate matching a user with a virtual agent. A database of virtual agents is maintained in which each of the virtual agents are remotely located from a property secured by a locking mechanism. A user is authenticated based on user information included in a request to enter the property, and an authenticated user is matched with a host agent of a virtual tour. Here, the host agent is selected from the database of virtual agents, and the virtual tour comprises a remote real time interaction between the user and the host agent while the user physically accesses the property.

A payment system for a transaction between a user and a merchant includes establishing user account and merchant accounts with an mCreds processing agent, loading consumer credit into a consumer account of a user computing device associated with a permanent identifier, identifying a desired transaction by the user on a computer server; accessing a merchant account, authenticating the user by comparing a provided user credential provided by the user with the user credential present in the database, authenticating the user computing device by comparing a provided user device identifier with the permanent user device identifier present in the database, and processing a debit to the user mCreds account and a credit to the merchant mobile credit account.

A computer-implemented method includes generating on a user terminal a merchant web site associated with a merchant with code for a merchant web page, transmitting a product selection request for the user to a remote open payment system that is separate from the merchant, and displaying purchase information responsive to the product selection request using the code for the merchant web page.

Technologies are described herein for the facilitation of authorized in-store pickup in conjunction with online ordering. A request to process an order of an item selected by a customer and placed through a website may be received. The website may be transformed to a cart fulfillment web page including a fulfillment interface. Through the fulfillment interface, a selection of an option for in-store pickup by a third party may be received from the customer. Through the fulfillment interface, identifying information regarding the third party, pickup details associated with the in-store pickup of the item by the third party, and a preferred notification method for contacting the third party may also be received from the customer. An authorization pickup record related to the in-store pickup of the item by the third party may be generated. The authorization pickup record may be transmitted to the third party via the preferred notification method.

Processes for classifying, and dynamically adjusting, tiers for web services are described. Depending on the classification of the web service, support resources (e.g. servers, storage, bandwidth or other communications resources, etc.) may be configured in different ways, such as, for example, sharing resources among one or more of the web services, or isolating the resources for particular web services from those of other web services. Various electronic storefronts may be provided by a service provider to merchants/customers of the service provider. The service provider may classify each of the electronic storefronts for the merchants to a plurality of tiers. Such classifying may be performed, for example, during an enrollment of the merchant with the service provider, and/or during operation of the electronic storefront.

Session data from a first browsing session, of a first user of a first client device of a server, at an enterprise website is accessed. Session state data for the first browsing session is determined based on the session data. Information associated with the first user information is accessed from the enterprise, the first user information including first user contact information. A message is then transmitted to the first user, the message including a summary of the first browsing session generated based on the session data and the first user information. The message includes a link to a second browsing session at the enterprise website, and based on a selection of the link by the first user, the second browsing session is established. The session state data is used to establish an initial session state for the second browsing session including a browsing history of the first browsing session.