Abstract: Technologies are shown for automatic account generation for a transaction between two user devices. In accordance with some aspects, machine readable code is received at a first user device of a first user from a second user device of a second user. The machine readable code is associated with an item token for a transaction between the users. Responsive to receiving the machine readable code: an authentication token is received in response to authenticating the first user, and an account creation request that includes the item token and the authentication token is sent to an intermediary transaction service. The account creation request causes the intermediary transaction service: to generate a first account for the first user using information for the first user obtained using the authentication token, and to facilitate a transaction for the item between the first account and a second account of the second user.

Abstract: Technologies are shown for buyer initiated automatic seller account generation where a buyer client receives an identification of a purchase item, generates an item token corresponding to the purchase item, and provides the item token to a seller client. The seller client authenticates a seller user with an authentication service, such as a biometric authentication service, receives an authentication token corresponding to the seller user, and sends an account creation request with the item token and the authentication token to an account creation service. The account creation service receives the account creation request, sends a user information request to the authentication service with the authentication token and receives seller information for the seller user from the authentication service. The account creation service creates a seller user account using the seller information, commits a purchase transaction for the purchase item, and sends an item purchase confirmation to the buyer client.

Abstract: 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.

Abstract: Technologies are shown for buyer initiated automatic seller account generation where a buyer client receives an identification of a purchase item, generates an item token corresponding to the purchase item, and provides the item token to a seller client. The seller client authenticates a seller user with an authentication service, such as a biometric authentication service, receives an authentication token corresponding to the seller user, and sends an account creation request with the item token and the authentication token to an account creation service. The account creation service receives the account creation request, sends a user information request to the authentication service with the authentication token and receives seller information for the seller user from the authentication service. The account creation service creates a seller user account using the seller information, commits a purchase transaction for the purchase item, and sends an item purchase confirmation to the buyer client.