Computer-implemented systems configured for automated electronic calendar item predictions for calendar item rescheduling and methods of use thereof

A method comprising:

• receiving, by at least one processor, an out-of-office notification associated with at least one meeting attendee;
• identifying, by the at least one processor, at least one need-to-reschedule meeting data item of one or more respective need-to-reschedule meetings associated with the at least one meeting attendee from at least one electronic calendar associated with at least one meeting attendee;
• wherein the one or more respective need-to-reschedule meetings are scheduled within an out-of-office time period based on the out-of-office notification;
• wherein the at least one need-to-reschedule meeting data items of one or more respective need-to-reschedule meetings comprises a respective attendee data identifying at least one respective attendee of each respective need-to-reschedule meeting;
• determining, by the at least one processor, an error in a plurality of parameters of at least one meeting room object predicted by a meeting scheduling machine learning model based at least in part on the one or more need-to-reschedule meetings associated with the need-to-reschedule meeting data;
• wherein the plurality of parameters of at least one meeting room object comprises:
• i) a meeting location parameter, and
• ii) a meeting time parameter;
• wherein the at least one meeting room object represents at least one candidate meeting room;
• training, by the at least one processor, the meeting scheduling machine learning model based at least in part on the error;
• utilizing, by the at least one processor, the meeting scheduling machine learning model to predict a plurality of new parameters of the at least one meeting room object representing at least one respective candidate rescheduled meeting associated with the one or more respective need-to-reschedule meetings;
• wherein the meeting scheduling machine learning model is configured to predict the plurality of new parameters of the at least one meeting room object based at least in part on schedule information associated with the at least one need-to-reschedule meeting data items and location information associated with the at least one need-to-reschedule meeting data items;
• wherein the plurality of new parameters of at least one meeting room object comprises:
• i) a new meeting location parameter, and
• ii) a new meeting time parameter;
• wherein the schedule information comprises:
• i) an availability data identifying availability of each of the at least one respective attendee based on respective calendar data obtained from each respective electronic calendar associated with the respective at least one attendee,
• ii) a meeting history data identifying meeting history of the at least one respective attendee based on the respective calendar data obtained from each respective electronic calendar associated with the respective at least one attendee,
• wherein the meeting history data comprises:
• 1) cancellation data identifying meeting cancellations, and
• 2) rescheduling data identifying meeting rescheduling occurrences;
• wherein the location information comprises:
• i) an attendee location data identifying at least one respective location associated with the at least one respective attendee,
• ii) available meeting room data identifying all available meeting rooms, and
• iii) a meeting room location associated with each available meeting room;
• causing to display, by the at least one processor, an indication of the at least one respective candidate rescheduled meeting in response to the out-of-office notification on a screen of at least one computing device associated with the at least one respective attendee based at least in part on the plurality of predicted parameters of the at least one respective meeting room object representing the at least one respective candidate rescheduled meeting;
• receiving, by the at least one processor, a selection of the at least one respective candidate rescheduled meeting from the at least one respective attendee;
• and
• dynamically securing, by the at least one processor, the at least one respective candidate rescheduled meeting for at least one respective meeting.

A system comprising:

• a calendar database configured to store calendar data associated with each user of at least one user;
• a meeting room database configured to store meeting room characteristics of possible meeting rooms;
• and
• at least one processor in communication with the calendar database and the meeting room database;
• wherein the at least one processor is configured to:
• detect data record notification associated with an automatic notification setting of a software application;
• identify at least one additional data record having a time period attribute in common with a notification time period attribute of the data record notification;
• wherein the at least one additional data record comprises at least one user identifier identifying the at least one user associated with the at least one additional data record;
• utilize a time period machine learning model to predict a plurality of parameters of at least one resource associated with the at least one additional data record;
• wherein the time period machine learning model is configured to predict the plurality of parameters based at least in part on software application data associated with the at least one user and location information associated with the at least one user;
• wherein the plurality of parameters of the at least one resource comprises:
• i) a location parameter, and
• ii) a time parameter;
• wherein the software application data comprises:
• i) an availability data identifying at least one open time period associated with each user of the at least one user obtained from each respective record set of at least one record set comprising the at least one additional data record associated with the at least one user,
• ii) a data record history associated with the at least one user,
• wherein the data record history comprises:
• 1) cancellation data identifying cancelled data records, and
• 2) modified data identifying modified data records;
• wherein the location information comprises:
• i) an user location data identifying at least one location associated with the at least one user,
• ii) available resource data identifying all available resources, and
• iii) a resource location associated with each available resource;
• dynamically secure the at least one resource within an electronic calendar object of an electronic calendar associated with the at least one user according to the plurality of parameters;
• transmit instructions to display the electronic calendar object with the at least one resource on a screen of at least one computing device associated with the at least one user;
• receive a selection of at least one modification to the at least one resource from the at least one user;
• create a training pair comprising the plurality of parameters of the at least one resource and the at least one modification;
• train time period machine learning model using the training pair to update the time period machine learning model;
• and
• apply the time period machine learning model to dynamically secure at least one subsequent resource within the electronic calendar object of the electronic calendar associated with the at least one user in response to a subsequent data record notification.