Abstract: Customer relationship management (“CRM”) method implemented in a computer system, including a lead knowledge engine in communication with a plurality of tele-agent stations. The lead knowledge engine includes a semantic graph database with a knowledge graph and a dynamic profiling module configured to identify query tele-agents via tele-agent dashboards to receive internal sales information indicative of product product/service interest and tele-agent experience and expertise. The lead knowledge engine is further configured to query a sales analytics engine and receive external sales information to identify product/service interest and generate target-lead profiles. The lead knowledge engine automatically ranks tele-agents and creates inside sales or expert support teams to support particular products or services, parses leads, and updates tele-agent dashboards.

Abstract: An improved enterprise level sales management system and method including a tele-agent dashboard engine that generates, as an improved user interface to automated computing machinery, a dashboard populated with customer relationship management information, dynamic scripts and industry trend information, company profile information that identifies products of interest for a particular plurality of companies and real-time tele-agent incentive compensation details. The enterprise level sales management system includes a graphical database to store semantic triples and a machine learning engine for traversing the graph and applying inference rulesets and predictive analysis algorithms, thereby improving the overall processing efficiency of the automated computing machinery.

Abstract: Automated computing machinery agnostically augmenting a CRM application, including an agent hub that associates an identity of a tele-agent and an indication whether the tele-agent is logged on to the agent hub; the agent hub operatively coupled to a browser, the browser bearing a browser extension through which a sales template for a sales campaign to which the tele-agent is assigned to work is operatively exposed as a GUI overlay of the browser, the overlay overlaid upon a web page of the CRM application; a leadership hub that associates the tele-agent and the sales campaign to which the tele-agent is assigned, the leadership hub operatively coupled to the agent hub; and a campaign management portal that associates the sales campaign and the display template, the display template associating a question and an answer form, the campaign management portal operatively coupled for data communications to the agent hub.

Abstract: Automated computing machinery that agnostically augments a customer relationship management (“CRM”) application, including an agent hub comprising a module of the automated computing machinery configured with computer memory that associates an identity of a tele-agent, the tele-agent's qualifications, and an indication whether the tele-agent is logged on to the agent hub; and the agent hub operatively coupled for data communications to a browser, the browser bearing a browser extension through which a sales template for a sales campaign to which the tele-agent is assigned to work is operatively exposed as an overlay upon a graphical user interface of the browser, the overlay overlaid upon a web page of the CRM application.

Abstract: Automated computing machinery that includes a display screen, the machinery configured with a sales template of a sales campaign displayed by a browser extension on the display screen as an overlay upon a web page of a customer relationship management (“CRM”) application, the template including a question and an answer form for the question, the question and the answer form pertinent to a sales campaign; and the machinery configured with template functions additional to functionality of the CRM application, the template exposing such additional functionality through graphical user interface (“GUI”) widgets of the template as displayed on the display screen, the template implementing such additional functionality identically for disparate CRM applications.

Abstract: Customer relationship management (“CRM”) implemented in a computer system, including establishing by the computer system, upon a first communications contact between a tele-agent and a customer representative, as structure of computer memory of the computer system, a communications session; and administering by the computer system through the communications session across communications platforms a sequence of communications contacts, including the first contact and also subsequent communications contacts, between the tele-agent and the customer representative.

Abstract: Automated computing machinery that agnostically augments a customer relationship management (“CRM”) application, including a leadership hub with computer memory configured according to a logical table, with logical columns identifying sales campaigns and a column identifying tele-agents, including also logical rows, each row representing an assignment of a tele-agent to work on a sales campaign; and a campaign management portal with computer memory configured according to a logical table, with logical columns identifying sales campaigns and a column identifying display templates, including also logical rows, each row associating a sales campaign and a display template comprising at least one sales campaign question and an answer form for the question; the leadership hub and the campaign management portal operative to display the template as an overlay of a web page of a CRM.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by a CRM application of the computer system, with one or more customer representative on behalf of one or more tele-agents asynchronously across one or more platform types, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative in support of the communications session. Digital transcripts of previous contacts are displayed for a tele-agent in real to facilitate communications with the customer representative. The transcripts and associated data are stored as parsed and inferred semantic triples in an enterprise knowledge graph.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by an artificial intelligence agent (‘AIA’) of a CRM application of the computer system, with a customer representative on behalf of a tele-agent, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative; and effecting by the AIA communications with the tele-agent in support of the communications session.

Abstract: Configuring computer memory including parsing digitized speech into a triples of a description logic; determining whether parsed triples are recorded in a general language triple store of the computer memory; determining whether parsed triples are recorded in a jargon triple store of the computer memory; and, if the parsed triples are recorded in neither the general language triple store nor the jargon triple store, recording the parsed triples in the jargon triple store.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by a CRM application of the computer system, with one or more customer representative on behalf of one or more tele-agents asynchronously across one or more platform types, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative in support of the communications session. Digital transcripts of previous contacts are displayed for a tele-agent in real to facilitate communications with the customer representative. The transcripts and associated data are stored as parsed and inferred semantic triples in an enterprise knowledge graph.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by an artificial intelligence agent (‘AIA’) of a CRM application of the computer system, with a customer representative on behalf of a tele-agent, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative; and effecting by the AIA communications with the tele-agent in support of the communications session.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by an artificial intelligence agent (‘AIA’) of a CRM application of the computer system, with a customer representative on behalf of a tele-agent, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative; and effecting by the AIA communications with the tele-agent in support of the communications session.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering, by an artificial intelligence agent (‘AIA’) of a CRM application of the computer system, with a customer representative on behalf of a tele-agent, as structure of computer memory of the computer system, a communications session comprising one or more communications contacts with the customer representative; and effecting by the AIA communications with the tele-agent in support of the communications session.

Abstract: Customer relationship management (“CRM”) implemented in a computer system, including establishing by the computer system, upon a first communications contact between a tele-agent and a customer representative, as structure of computer memory of the computer system, a communications session; and administering by the computer system through the communications session across communications platforms a sequence of communications contacts, including the first contact and also subsequent communications contacts, between the tele-agent and the customer representative.

Abstract: Customer relationship management (“CRM”) implemented in a computer system, including parsing, by a parsing engine of the computer system into parsed triples of a description logic, words of a CRM event from an incoming stream of CRM events, the CRM event characterized by an event type, the stream implemented in a CRM application of the computer system; and inferring, by an inference engine from the parsed triples according to inference rules specific to the event type, inferred triples.

Abstract: Configuring computer memory including parsing digitized speech into a triples of a description logic; determining whether parsed triples are recorded in a general language triple store of the computer memory; determining whether parsed triples are recorded in a jargon triple store of the computer memory; and, if the parsed triples are recorded in neither the general language triple store nor the jargon triple store, recording the parsed triples in the jargon triple store.

Abstract: Customer relationship management (‘CRM’) implemented in a computer system, including administering by the computer system a communications session that includes a sequence of communications contacts between a tele-agent and one or more customer representatives, the session and each contact composed of structured computer memory of the computer system; and generating by the computer system a digital transcript of the content of the communications contacts.

Abstract: Customer relationship management (“CRM”) implemented in a computer system, including parsing a word, from call notes of a conversation between a tele-agent of a call center and a customer representative, into a parsed triple of a description logic; determining whether the parsed triple is recorded in a semantic CRM triple store of the computer system; if the parsed triple is not recorded in the semantic CRM triple store, recording the parsed triple as a call note in the semantic CRM triple store.

Abstract: A system for electronic lead generation including a semantic graph database including a knowledge graph and a dynamic profiling module comprising automated computing machinery configured to identify a near-term surge in product interest for a number of companies of a particular size in a particular industry in a particular region of the world in dependence upon the knowledge graph and create a company profile in dependence upon the size of the identified companies, the industry of the identified companies, and the region of the world of the identified companies associated with the near-term surge. Embodiments also include a lead purchase module comprising automated computing machinery configured to generate an electronic lead purchase order in dependence upon the company profile; transmit the lead purchase order to a lead generation engine; and receive, from the lead generation engine, a plurality of leads in dependence upon the lead purchase order.