Systems and methods for providing and managing proactive and intelligent communications
AssigneeGravyty Technologies, Inc.
InventorsRichard M. Palmer, II, Adam Martel, Nima Abbasighadikolaei
Life of this patent
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Abstract
Illustrative embodiments provide automated methods and systems for generating customer communications through analysis of known data of the customer, and data derived from third-party systems such as social media platforms and government data sources. Some embodiments provide automated methods and systems that produce, based on past interactions with a customer, a set of future interactions for execution by a sender. The set of future interactions is preferably configured, relative to a previous set of interactions, to increase the likelihood of a favorable response from the customer.
Claims13
A system for managing intelligent communications, comprising:
- at least one memory operable to store intelligent communication data and one or more predictive models;
- and
- at least one processor operable to:
- receive one or more data sets from one or more partner systems and/or one or more third party systems;
- update, based on the received one or more data sets, at least part of one or more of (1) the intelligent communication data, and (2) the one or more predictive models;
- identify actionable communications based on the one or more predictive models;
- generate intelligent communications corresponding to each of the identified actionable communications by one or more of artificial intelligence, machine learning, deep learning, and/or reinforcement learning, the generated intelligent communications including messages for transmission to one or more respective recipients by one of email, direct messaging, text messaging, and SMS, said messages being configured to allow one or more respective senders to transmit said messages to the one or more respective recipients without adding and/or altering any language in said messages, and said messages being at least one of tailored or personalized to each sender of the one or more senders, the intelligent communications being generated by personalizing language included in a template based on one or more of determinations and/or calculations of or by the predictive models, application of artificial intelligence, machine learning, a deep learning language model, deep referencing learning, or natural language processing techniques;
- transmit the generated intelligent communications to each of the one or more respective senders;
- and
- identify improvement data based on tracking of the generated intelligent communications.
A computer-implemented method of generating intelligent communications from an entity to a customer of the entity, the method comprising:
- receiving, at a processor, one or more data sets from a partner systems and/or a third party system;
- updating, based on the received one or more data sets, at least part of one or more of (1) the intelligent communication data, and (2) the one or more predictive models;
- identifying actionable communications based on the one or more predictive models;
- generating intelligent communications corresponding to each of the identified actionable communications by one or more of artificial intelligence, machine learning, deep learning, and/or reinforcement learning, the generated intelligent communications including messages for transmission to one or more respective recipients by one of email, direct messaging, text messaging, and SMS, said messages being configured to allow one or more respective senders to transmit said messages to the one or more respective recipients without adding and/or altering any language in said messages, the intelligent communications being generated by personalizing language included in a template based on one or more of determinations and/or calculations of or by the predictive models, application of artificial intelligence, machine learning, a deep learning language model, deep referencing learning, or natural language processing techniques;
- and
- transmitting the generated intelligent communications to each of the one or more respective senders.
Dependencies are inferred from the claim text.