Examples of the present disclosure relate to a system, method, and computer readable medium for windshield safety. A windshield safety system may include a sensor that detects possible damage to a windshield of a vehicle. In an example, the windshield safety system includes a display corrector in the vehicle to alter the display of information in response to a possible damage detection by the sensor. The windshield safety system can also include a driver information system in the vehicle to send an appointment request in response to a possible damage detection by the sensor.

A computerized system and method for providing a user interface and system for managing scheduling of tasks on a capacity-driven basis that improves the efficiency of use of limited resources, and can reverse the typical balance of power and negotiation leverage, for example, in medical/healthcare provider and patient/consumer transactions. Providers can determine pricing, but Consumers can be notified of changes in capacity (e.g., due to appointment cancellations) that favor the patient/consumer, and present an opportunity for discounted pricing, while also allowing the provider to avoid a lost revenue opportunity. The system is structured to serve multiple unaffiliated providers, so that consumer demand and provider capacity may be matched across multiple providers, which is atypical in particular for medical/healthcare providers. This provides an increased opportunity for discounted services to the consumer/patient, and provides increased revenue opportunities across the multiple providers as lost revenue opportunities are decreased.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

Electronic systems and methods for developing a person's cognitive skills such as feedback giving skills are contemplated. The systems and methods provide a procedure through which participants follow to formulate and issue feedback to other individuals. Feedback is given through a feedback app. The systems and methods involve participation of feedback recipients and also judges. The procedure involves each feedback recipient giving a presentation in a period of time and each judge providing feedback to each presentation. The procedure is performed by executing an event which can be created from an event app provided by the system. The event app also executes the created event, and completion of the event allows the system to provide feedback results to the participants, feedback recipients, judges, and other individuals based on information received during the event. The flow of the event is also controllable from the event app.

A method of ranking criticality of upcoming customer meetings may comprise receiving, via a network interface device, for a plurality of customers, a meeting deadline date, a meeting frequency value, and a previous sales factor rate indicating revenue or a percentage of previous meetings that resulted in revenue to a user, determining, via a processor, for the plurality of customers, a past due percentage value by dividing the number of days elapsed since the meeting deadline date by a number of days within the meeting frequency value, and determining, for each of the plurality of customers, a criticality ranking by weighting the past due percentage value with the previous sales factor rate. Displaying, via a graphical user interface (GUI), the plurality of customers, listed in order of the criticality ranking, from highest to lowest, for scheduling of upcoming meetings in order of criticality.

Systems, methods and tools for securely scheduling appointments, maintenance and repairs of vehicles. The system may be an automated service kiosk available 24 hours a day. A customer can schedule services, drop off and pick up keys for receiving service at any time that may be convenient for the customer, without regard for the normal operating hours of the service provider and may do so without having to interact with an employee of the service provider. Automated customer recognition may be performed using license scanning or biometric scanning. The user may select a service from a menu of services and deposit keys (or key fobs) within the kiosk system or receive keys therefrom. Upon returning to complete the service transaction customers may scan a paper or digital receipt provided during the initial scheduling of the service and tender payment via the kiosk or using digital currency.

In order to facilitate automated electronic calendar task management with automatic task scheduling, systems and methods are described including receiving and electronic meeting request to schedule a meeting. Work task data items identifying work tasks associated with the attendees are determined. A task estimation machine learning model predicts work parameters of meeting task objects based on the work task data items, and a work history data identifying work history of each attendee. A meeting scheduling machine learning model predicts parameters of unavailability period objects representing unavailability periods required to complete the work tasks based on the meeting task object, schedule information and location information. An indication of the at least one unavailability period is displayed on a screen of a computing device associated with each attendee. Selections of the unavailability period is received from the attendees, and the unavailability period is dynamically secured prior to the meeting.

Various embodiments of a predictive double-booking system for use in medical appointment booking applications are described herein.

Systems and methods for scheduling appointments are provided. This scheduling process includes generating an introductory message proposing an appointment with the target with a request for timing. The target responds, and this response is processed for a positive interest and the presence of a proposed time. If there is an absence of positive interest then the messaging may be discontinued. However, in the presence of a positive interest, and a proposed time from the target, the system may access an external scheduling system when a proposed time is present. This includes determining availability of at least one resource at the proposed time. The system then iteratively provides suggested times close to the proposed time when the resource is not available for the proposed time. The system then confirms the appointment when the resource is available for either the proposed time or any of the suggested times.

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.