Abstract: A system and method for automatically tagging customer messages using artificial intelligence models. A server gateway processes the customer messages via an artificial intelligence system featuring artificial intelligence models. The artificial intelligence system analyzes the customer messages to determine the content by tagging words and phrases with industry specific tags (e.g. product feedback, product defects, shipping delays, etc) as well as tags based on sentiment type (e.g., negative, positive, neutral, sarcasm, mixed) and contact type (e.g., delivery person, influencer, postsale, presale). The artificial intelligence system returns the tagged results, which are transmitted by the server gateway to a user computational device or another system for visualization.

Abstract: Systems and methods provide an application programming interface to offer action suggestions to third-party applications using context data associated with the third-party. An example method includes receiving content information and context information from a source mobile application, the content information representing information to be displayed on a mobile device as part of a source mobile application administered by a third party, the context information being information specific to the third party and unavailable to a screen scraper. The method also includes predicting an action based on the content information and the context information, the action representing a deep link for a target mobile application. The method further includes providing the action to the source mobile application with a title and a thumbnail, the source mobile application using the title and thumbnail to display a selectable control that, when selected, causes the mobile device to initiate the action.

Abstract: Systems and methods provide an application programming interface to offer action suggestions to third-party applications using context data associated with the third-party. An example method includes receiving content information and context information from a source mobile application, the content information representing information to be displayed on a mobile device as part of a source mobile application administered by a third party, the context information being information specific to the third party and unavailable to a screen scraper. The method also includes predicting an action based on the content information and the context information, the action representing a deep link for a target mobile application. The method further includes providing the action to the source mobile application with a title and a thumbnail, the source mobile application using the title and thumbnail to display a selectable control that, when selected, causes the mobile device to initiate the action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information for a displayed resource. In one aspect, a method includes receiving, from a user device, a query-independent request for contextual information relevant to an active resource displayed in an application environment on the user device, identifying multiple search items from the content in the resource, determining a relevance score for each of the multiple search items, selecting one or more of the multiple search items based on the relevance scores, and providing, to the user device for each of the selected one or more multiple search items, a respective contextual user interface element for display with the active resource, where each contextual user interface element includes contextual information regarding the respective search item.

Abstract: A system and method for automatically tagging customer messages using artificial intelligence models features a computer network, user computational device, database for storing customer messages, and server gateway in communication with the user computational device through the computer network (i.e., internet) and the database. The server gateway features an artificial system for processing, analyzing, and tagging customer messages. A user supplies customer messages by using the user computational device, which communicates with the server gateway. The server gateway processes the customer messages and sends them to the artificial intelligence system for analysis. The artificial intelligence system then analyzes these customer messages to determine the content by tagging words and phrases with industry specific tags (e.g. product feedback, product defects, shipping delays, etc) as well as tags based on sentiment type (e.g., negative, positive, neutral, sarcasm, mixed) and contact type (e.g.

Abstract: A system and method for enabling a conversation to be shifted to different modalities. Optionally and preferably, the conversation between a customer and a customer representative is shifted from a voice phone call to a messaging-based system which may optionally be, for example, through SMS or short messaging system messages, self help tools or through other messaging systems, which may, for example, be operated through a mobile communication device such as a smartphone.

Abstract: Systems and methods provide an application programming interface to offer action suggestions to third-party applications using context data associated with the third-party. An example method includes receiving content information and context information from a source mobile application, the content information representing information to be displayed on a mobile device as part of a source mobile application administered by a third party, the context information being information specific to the third party and unavailable to a screen scraper. The method also includes predicting an action based on the content information and the context information, the action representing a deep link for a target mobile application. The method further includes providing the action to the source mobile application with a title and a thumbnail, the source mobile application using the title and thumbnail to display a selectable control that, when selected, causes the mobile device to initiate the action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information to a user. In one aspect, a method includes receiving, from a user device, a query-independent request for contextual information relevant to an active resource displayed in an application environment on the user device, identifying entities from content in the resource, generating queries for topical information based on the entities identified from the content, identifying topical resources that are responsive to the queries for topical information, and providing, to the user device, a user interface element for display with the active resource, wherein the user interface element includes contextual information regarding the identified topical resources.

Abstract: A system and method for enabling a conversation to be shifted to different modalities. Optionally and preferably, the conversation between a customer and a customer representative is shifted from a voice phone call to a messaging-based system which may optionally be, for example, through SMS or short messaging system messages, self help tools or through other messaging systems, which may, for example, be operated through a mobile communication device such as a smartphone.