8 results about "Electronic marketing" patented technology

To support a creator so as to simply create electronic marketing content.SOLUTION: An information processing system includes a processing unit configured to: execute, when receiving a request to issue second electronic marketing content with a modified period, which incorporates content created by a user in past and content of first electronic marketing content with a period set thereto, processing to issue the second electronic marketing content without proceeding to an examination step; and execute, when receiving a request to issue the second electronic marketing content with a period modified from that of the first electronic marketing content without incorporating part of the content of the first electronic marketing content, processing for proceeding to a step of examining the second electronic marketing content.SELECTED DRAWING: Figure 1

The invention discloses a digital power marketing information intelligent management method based on the Internet of Things, and the method comprises the steps: reading an RFID electronic tag of a paper marketing information document through an RFID device, and creating a unique document identification code; scanning the paper marketing information document to obtain a scanning image, enhancing the scanning image by using an image restoration algorithm based on a convolutional neural network, and generating an electronic marketing information file and an index through OCR (Optical Character Recognition); associating the paper marketing information document, the electronic marketing information file and the business data based on the file identification code, and constructing a customer-marketing information-business data association library; responding to the marketing information query request through an intelligent retrieval engine; and recording marketing information operation by using the alliance block chain network, and generating a non-tampering log. According to the method, the problems of information islands, incomplete paper document information and the like in marketing information management are solved, and full-process, high-quality, associated and credible management of marketing information is realized.

A computer-executable method, a computer system and a non-transitory computer-readable medium are provided for causing electronic marketing communications of one or more promotions to be generated on a mobile computing device associated with a consumer. A method includes programmatically retrieving promotion data indicative of a plurality of promotions from a computer memory. The method includes determining, using processing circuitry, a promotion score for each of the plurality of promotions. Each promotion score is determined based on consumer profile data, stored consumer activity data, and at least one of: current consumer activity data, current local context data, or predicted consumer activity data. The method further includes outputting indications configured to generate electronic marketing communications associated with the plurality of promotions based on the promotion scores of the plurality of promotions.

A computer based method for an electronic marketing campaign from a customer to a contact receives a campaign having an email message body and a historic profile of a previous campaign by the customer. The email message body includes text and image data. The email message body is preprocessed based upon the campaign and the historic profile to produce campaign training data. A neural network learning model is trained with the campaign training data. The neural network provides a subject line recommendation inference, and named entity recognition is performed on the subject line recommendation.

This provides a real-time product recommendation system and a method for implementing it. [Solution] During implementation, real-time information from the internet is captured at regular intervals (periodically), analyzed by an artificial intelligence model to generate tags, which are then attached to related products. Simultaneously, the corresponding weight values ​​are assigned or updated to the tags. This provides immediacy when recommending products, automatically sorting products that best match consumers' real-time needs, accurately reflecting real-time information in product recommendations, and achieving the highest level of electronic marketing effectiveness.

Apparatuses, methods, and systems for generating short messages for electronic messages of electronic marketing messages. One method includes receiving, by a server, information related to the electronic marketing message, receiving, by the server, a plurality of N short messages (text) generated based on the received information from a generative text engine model, reducing, by the server, the plurality of N short messages down to M short messages, displaying messages based on the M short messages to a merchant user, identifying merchant actions in response to the displaying of the messages based on the M short messages, and fine-tuning, by the server, the generative text engine model based on the identified merchant actions.

A computer based method for an electronic marketing campaign from a customer to a contact receives a campaign having an email message body and a historic profile of a previous campaign by the customer. The email message body includes text and image data. The email message body is preprocessed based upon the campaign and the historic profile to produce campaign training data. A neural network learning model is trained with the campaign training data. The neural network provides a subject line recommendation inference, and named entity recognition is performed on the subject line recommendation.

A computer based method for an electronic marketing campaign from a customer to a contact receives a campaign having an email message body and a historic profile of a previous campaign by the customer. The email message body includes text and image data. The email message body is preprocessed based upon the campaign and the historic profile to produce campaign training data. A neural network learning model is trained with the campaign training data. The neural network provides a subject line recommendation inference, and named entity recognition is performed on the subject line recommendation.