Methods and systems to determine a service time for providing a service
Aspects of the invention are directed towards a system and a method for determining a service time for providing a service to a room based on an availability of a user in the room. One or more embodiments of the invention describe the method comprising steps of receiving audits associated with a lock of a room. One or more embodiments of the invention further describe determining if a user of the room has opted for a user privacy service and analyzing the audits if the user has opted for the user privacy service. Furthermore, the embodiments of the invention also describe determining an availability of the user in the room based on analysis of the audits and determining a service time for providing a service to the room based on the availability of the user in the room.
1 . A method comprising:
at a lock of a room, generating audits and communicating the audits to a server, wherein the audits comprise digital data generated by the lock, the digital data representing events associated with entering the room and leaving the room and a status information of the lock, the status information of the lock including opening of the lock and closing of the lock, wherein the audits further comprise a room type information;
at a server:
receiving the audits associated with the lock of the room;
determining if a user of the room has opted for a user privacy service;
analyzing the audits if the user has opted for the user privacy service, wherein the analysis of the audits is performed by applying a machine learning technique to the audits;
determining an availability of the user in the room based on the machine learning analysis of the audits;
determining a service time for providing a service to the room based on the availability of the user in the room only if the room type information includes a predetermined room type;
transmitting service provider credentials for accessing the room to a service provider other than the user after determining the service time to service the room; and, next,
at the lock of the room, receiving the service provider credentials at the service time and allowing the service provider to access the room by automatically opening the lock in response to receipt of the service provider credentials.
2 . The method of claim 1 , wherein the machine learning technique examines the audits, a stay period information of the user and/or a stay history of the user to determine the service time for providing the service to the room.
3 . The method of claim 1 , wherein the machine learning technique is applied to the audits when a predetermined number of audits are available for analysis.
4 . The method of claim 1 , wherein the service is provided to the room if the user is not available in the room.
5 . The method of claim 1 , wherein the service time is notified to a service provider for providing the service to the room based on the machine learning analysis of the digital data.
6 . The method of claim 1 , wherein the service time is determined based on privileges provided to the user.
7 . The method of claim 1 , wherein the service is provided to the room at a regular service time if the user of the room has not opted for the user privacy service.
8 . The method of claim 1 , wherein the service time is a scheduled time at which room cleaning is performed.
9 . A system comprising:
a lock associated with a room comprising:
an audit generator unit adapted to generate audits, wherein the audits comprise digital data generated by the lock, the digital data representing events associated with entering the room and leaving the room and a status information of the lock, the status information of the lock including opening of the lock and closing of the lock, wherein the audits further comprise a room type information;
a communication module adapted to transmit the audits to a server; and
a server comprising:
a communication unit adapted to receive the audits from the lock;
a processor adapted to determine if a user of the room has opted for a user privacy service;
an analysis unit adapted to:
analyze the audits if the user has opted for the user privacy service, wherein the analysis is performed using a machine learning technique;
determine an availability of the user in the room based on the analysis of the audits; and
determine a service time for providing a service to the room based on the availability of the user in the room only if the room type information includes a predetermined room type;
wherein the server uses the communication unit to transmits service provider credentials for accessing the room to a service provider other than the user after determining the service time to service the room; and
the lock is further configured to receive the service provider credentials at the service time and allow the service provider to access the room by automatically opening the lock in response to receipt of the service provider credentials.
10 . The system of claim 9 , wherein the machine learning technique examines the audits, a stay period information of the user and/or a stay history of the user to determine the service time for providing the service to the room.
11 . The system of claim 9 , wherein the service is provided to the room at a regular service time if the user of the room has not opted for the user privacy service.
12 . The system of claim 9 , wherein the service time is notified to a service provider for providing the service to the room based on the analysis.
13 . The system of claim 9 , wherein the service time is determined based on privileges provided to the user.
14 . The system of claim 9 , wherein the server applies the machine learning technique to the audits when a predetermined number of audits are available for analysis.
15 . The system of claim 9 , wherein the service time is a scheduled time at which room cleaning is performed.
16 . A non-transitory computer readable medium comprising a memory, the memory storing instructions which are executed by one or more processors to implement the method of claim 1 .