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THE DELFIN PROJECT, INC.

THE DELFIN PROJECT, INC. Patent applications
Patent application numberTitlePublished
20120095835AUTOMATIC MESSAGE SELECTION WITH A CHATBOT - Disclosed is a novel system and process to use information gathered by a chatbot system including explanations why a potential customer is discontinuing a transaction. The transaction in one example is a sales transaction. This information is associated with the potential customer. Using this information, the present invention enhances the message targeting by advertisers and remarketing system for the identified potential customer. The advertisers and remarketing systems use the information from the chatbot system to automatically select messaging and advertisements.04-19-2012
20110213642MANAGEMENT SYSTEM FOR A CONVERSATIONAL SYSTEM - The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.09-01-2011
20090292778MANAGEMENT SYSTEM FOR A CONVERSATIONAL SYSTEM - The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made.11-26-2009