Conversica, Inc.

Macgregor S Gainor

Siddhartha Reddy Jonnalagadda

James D Harriger

Werner Koepf

Joseph M Silverbears

Ryan Francis Ginstrom

George Alexis Terry

William Dominic Webb-Purkis

Will Webb-Purkis

Patrick D Griffin

Alex Terry

Benjamin P Brigham

Jared Keller

Systems and methods for scheduling appointments are provided. This scheduling process includes generating an introductory message proposing an appointment with the target with a request for timing. The target responds, and this response is processed for a positive interest and the presence of a proposed time. If there is an absence of positive interest then the messaging may be discontinued. However, in the presence of a positive interest, and a proposed time from the target, the system may access an external scheduling system when a proposed time is present. This includes determining availability of at least one resource at the proposed time. The system then iteratively provides suggested times close to the proposed time when the resource is not available for the proposed time. The system then confirms the appointment when the resource is available for either the proposed time or any of the suggested times.

Systems and methods for improved automated conversations with attendant actions

Systems and methods for natural language processing and classification are provided. In some embodiments, the systems and methods include a communication editor dashboard which receives the message, performs natural language processing to divide the message into component parts. The system displays the message in a first pane with each of the component parts overlaid with a different color, and displaying in a second pane the insights, the confidence scores associated with each insight, the sentiment and the actions. In another embodiment, the systems and methods include combining outputs from multiple machine learned AI models into a unified output. In another embodiment, the systems and methods include responding to simple question using natural language processing.

Systems and methods for natural language processing and classification

Systems and methods for a configurable response-action engine are provided. Actions are generated for a conversation when an insight is received from a natural language processing system. Industry, segment, client specific instructions, third party data, a state for the lead and lead historical patterns are also received. A decision making action model is tuned using this information. An objective for the conversation may be extracted from the state information for the lead. The tuned model is then applied to the insight and objective to output an action. A response message may be generated for the action. The action is directed to cause a state transition of the lead to a preferred state. In another embodiment, systems and methods are presented for feature extraction from one or more messages. In yet other embodiments, systems and methods for message cadence optimization are provided.

Systems and methods for configurable messaging response-action engine

Systems and methods for configurable messaging with feature extraction

Systems and methods for automated question response

Systems and methods for management of automated dynamic messages are providing. In some embodiments, a data store is populated with one or more knowledge sets and one or more lead datasets in response to a user's input. A campaign builder may be provided to the user for generating and initiating campaigns. A campaign is a series of messages designed to satisfy one or more objectives. The campaign builder allows the creation of a campaign by allowing the composition of a series of message templates with variable fields. The variable fields correspond to classes of data from the knowledge sets and/or the lead data. Once the campaign has been initiated, the system categorizes the responses using algorithms. These categorizations have corresponding confidence levels. If the confidence level is too low, manual user intervention may be required in order to determine which subsequent action the system should perform.

Systems and methods for management of automated dynamic messaging

Growing community of inventors

Bellingham, WA, United States of America

Macgregor S Gainor