Intelligent assistant that finds availability, coordinates and decides on meetings between 2 or more entities

Abstract

A method of advanced technology allowing to find, coordinate and decide meeting details from larger communications, using neuro linguistic programming to predict and automatically set meeting among multiple individuals. The system utilizes relevant snippets from unstructured data to coordinate the optimal meeting and associated factors. Meeting information is fully edited by natural English, different actions on the calendar invite itself like responding with “No” will activate back end to reschedule with guests. Multiple guests can schedule with Laura and multiple subjects can be in the text which will be understood and parsed by the AI. Once the assistant is added into a messenger platform the assistant will send the users availability to the guest and the guest can answer in natural English or manually press which availability works best for them.

Claims

I: A method for pulling out relevant information and then aggregating and presenting the data to decide a meeting between multiple parties comprising: obtaining input of unstructured data in the form of words; performing the operation of converting the received data into structured data; and, providing output to coordinate the optimal meeting time for every entity which can work on multiple indicators including but not limited to date, time,

II: A novel form of artificial intelligence neuro-linguistic programming aimed to detect guest availability, changing participants, changing meeting platforms, changing timeslots and meeting cancelation features.

III: A specialized NLP platform where meeting information is fully edited by natural language and manual commands where variety of features can be triggered by commands in natural spoken language where: the system as per claim III, breaks up the sentence and sends to the backend the request; the system as per claim III, where according to a hierarchy for which intent is most important the backend will act upon that to send out the relevant response; and, the system as per claim III, where relevant response can include variety of meeting related actions or can ask another question if needed. A method of advanced technology allowing to find, coordinate and decide meeting details from larger communications, using neuro linguistic programming to predict and automatically set meeting among multiple individuals. The system utilizes relevant snippets from unstructured data to coordinate the optimal meeting and associated factors. Meeting information is fully edited by natural language, different actions on the calendar invite itself like responding with “No” will activate back end to reschedule with guests. Multiple guests can schedule with Laura and multiple subjects can be in the text which will be understood and parsed by the AI. Once the assistant is added into a messenger platform the assistant will send the users availability to the guest and the guest can answer in natural English or manually press which availability works best for them, in addition if requested can ask different business related questions to ensure a meeting is the correct action to take for the end user.

Description

DETAILED DESCRIPTION

[0026] Detailed descriptions of the preferred embodiment are provided herein. It is to be understood, however, that the present invention may be embodied in various forms. Therefore, specific details disclosed herein are not to be interpreted as limiting, but rather as a basis for the claims and as a representative basis for teaching one skilled in the art to employ the present invention in virtually any appropriately detailed system, structure or manner.

[0027] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items. As used herein, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well as the singular forms, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof.

[0028] The present invention is directed to an advanced method for reading and understanding communication and pulling out relevant insights with the goal of finding availability, coordination and decision on meetings between 2 or more entities

[0029] The computing device may include software and/or hardware for providing functionality and features described herein. The computing device may therefore include one or more of: logic arrays, memories, analog circuits, digital circuits, software, firmware and processors. The hardware and firmware components of the computing device may include various specialized units, circuits, software and interfaces for providing the functionality and features described herein.

[0030] The present invention as per its preferred embodiments shows an environment for meeting request generation, development and management. The environment includes an artificial intelligence neuro-linguistic programming to schedule meetings between two or more entities. The intelligent assistant will take unstructured data in the form of words and convert it to structured data that is used to coordinate the optimal meeting time for everyone including but not limited to date, time, location physical and/ or virtual, attendees, availability status, who's coordinating the meeting, intent of what was said and requested, reasons for why a meeting is moving and/ or cancelled and/ or booked.

[0031] The invention as per its further embodiments allows use of time and date parsing along with using subject/intent NLP of what the requests are from the guests the software is able to detect when the guest(s) is/are available and what type of request they have. It further allows to change or update participants, change meeting platform type, changing the timeslots on request, cancelation of meeting, whether they are relevant to speak to by asking them questions regarding how relevant they are for the host. Meeting information is fully edited by natural English, different actions on the calendar invite itself like responding with “No” will activate back end to reschedule with guests. Multiple guests can schedule with Laura by using all of them saying when works best for them to meet. Multiple subjects can be in the text which will be understood and parsed by the Ai.

[0032] The invention as per its further embodiments allows use of time and date parsing along with using subject/intent NLP of what the requests are from the guests the software is able to detect when the guest(s) is/are available and what type of request they have, including but not limited to before and after certain events, holidays, or other date and times. It further allows to change or update participants, change meeting platform type, changing the timeslots on request, cancelation of meeting, whether they are relevant to speak to by asking them questions regarding how relevant they are for the host. Meeting information is fully edited by natural English, different actions on the calendar invite itself like responding with “No” will activate back end to reschedule with guests. Multiple guests can schedule with Laura by using all of them saying when works best for them to meet. Multiple subjects can be in the text which will be understood and parsed by the Ai.

[0033] NLP breaks up the sentence and sends to the backend the request, then according to a hierarchy for which intent is most important the backend will act upon that to send out the relevant response and book a meeting or ask another question if needed. If any of the meeting details are not available the assistant will request this information from the user/guest.

[0034] The assistant as per its additional embodiments is available outside of the platform and is waiting for a signal to start the process of scheduling the meeting. The meeting flow can have the assistant request for more information to understand whether or not this meeting should take place. Furthermore, there is an option to use others' availability only during booking the meeting in case the meeting attendee

[0035] While a specific embodiment has been shown and described, many variations are possible. With time, additional features may be employed. The particular shape or configuration of the platform or the interior configuration may be changed to suit the system or equipment with which it is used.

[0036] Having described the invention in detail, those skilled in the art will appreciate that modifications may be made to the invention without departing from its spirit. Therefore, it is not intended that the scope of the invention be limited to the specific embodiment illustrated and described. Rather, it is intended that the scope of this invention be determined by the appended claims and their equivalents.

[0037] The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus, the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.