This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

Systems and methods are provided for retail environments. In one implementation, a non-transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include obtaining an electronic shopping list associated with a customer, the electronic shopping list identifying a target product; automatically determining that the target product is unavailable at a particular retail store; automatically identify an alternative product, available at the particular retail store, as a potential alternative to the target product; receiving at least one image representative of at least a portion of the particular retail store wherein the at least one image includes a representation of the alternative product; and analyzing the at least one image to cause an extended reality appliance to present to a shopper a visual indicator associated with the alternative product in the particular retail store.

An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.

The subject personalized consumer advertising/ad placement system provides the ability for advertisers, ad agencies, and any other applicable organization to determine and electronically present their “ideal” consumer profile and have their advertisement/promotion placed in front of all consumers who match the profile based on the anonymous mining of the consumers actual spending across a broad base of spending categories.

Embodiments set forth techniques for managing advertisement auctions on a client device. The method can include the steps of (1) receiving, from a server device, a plurality of objects, where each object is associated with a respective digital asset, and each object includes, in association with the respective digital asset (i) a server-derived digital asset vector, (ii) a server-derived predicted tap-through rate, and (iii) a bid amount. In turn, and for each object of the plurality of objects, the client device (2) generates a respective estimated cost per impression for the object based on the information provided by the server device as well as information derived by the client device. Subsequently, the client device (3) identifies, among the plurality of objects, the object associated with the highest respective estimated cost per impression, and (4) causes an advertisement for the respective digital asset associated with the identified object to be displayed.

Techniques are described herein for managing transactions between data consumers and data providers using a blockchain. In some embodiments, a blockchain network receive smart contracts that govern access rights to data sets provided by blockchain members and smart contracts that execute blockchain transactions based on the usage of data sets. When a data set is provided to a blockchain member through the blockchain network, usage of the data set may be tracked. Responsive to detecting usage of the data set, one or more smart contracts may execute one or more blockchain transactions within the blockchain network.

The present invention relates to a method for providing information to a customer terminal of a user registered as a member, the method comprising: an authentication step of receiving information of the customer terminal through an authentication unit to check whether a customer has joined as a member; a first transmission step of transmitting an information list through a storage unit connected to the customer terminal; a guidance step of guiding through the information list by voice through an operation terminal connected to the customer terminal; a second transmission step of transmitting, to the customer terminal, information selected through the customer terminal from the information list through a guide unit connected to the customer terminal; and a third transmission step of transmitting a DM corresponding to the selected information through a DM processing unit connected to the customer terminal. According to the present invention, a concierge service is provided to the customer through a network, and a screen interface for guiding through the concierge service capable of remote control can be provided to the customer terminal, so that there is an effect that the customer can easily and conveniently enjoy the concierge service led by a concierge service operator.

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include receiving, from first sensors first sensed data indicating selection of a first product by a customer; determining, from the first sensed data, a first property associated with the first product; issuing a first query to the customer regarding the first property and, in response, receiving first information from the customer; comparing the first information with the first property; determining, based on the comparison, an integrity indicator associated with the customer; receiving, from second sensors second sensed data indicating a selection of a second product by the customer; determining, based on the integrity indicator, at least one action to determine a second property associated with the second product; and initiating the at least one action.

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include detecting online digital activities related to a retail store and originating from customers in the retail store; receiving position information indicating positions from which the detected online digital activities originated; clustering the detected online digital activities based on the position information to provide clusters of detected online digital activities, each cluster being associated with a different region of the retail store; using an image acquisition device to capture images of a particular region of the retail store associated with a particular cluster; analyzing the images to detect a condition of the retail store associated with the detected cluster; and automatically initiating a remedial action to address the detected condition.

Systems and methods are provided for retail environments. In one implementation, a non transitory computer-readable medium may include instructions that when executed by a processor cause the processor to perform a method. The method may include making a first determination that a customer located in a physical retail store has engaged in at least one action associated with an interest in a category of products associated with the retail store; making a second determination that the at least one action is associated with a target product, included in the category of products, that is out of stock in the physical retail store; and in response to the first and second determinations, providing a notification to the customer, wherein the notification includes information regarding ordering the target product via an online platform.