Patent classifications
G06Q10/1091
Expiration date notification device and method for puncture repair liquid
An expiration date notification method includes activating an expiration date notification device for a puncture repair liquid installed in a vehicle that comprises a storage unit that stores an expiration date of a puncture repair liquid contained in a container, a notification condition setting unit that sets a notification period and a notification manner for notifying of a replacement period of the puncture repair liquid based on the expiration date stored in the storage unit, a notifying unit that notifies of the replacement period of the puncture repair liquid, and a control unit that controls the notifying unit based on settings of the notification condition setting unit; and notifying a user of the vehicle of the replacement period of the puncture repair liquid within a preset notification period including before and after the expiration date of the puncture repair liquid via a preset notification manner.
Expiration date notification device and method for puncture repair liquid
An expiration date notification method includes activating an expiration date notification device for a puncture repair liquid installed in a vehicle that comprises a storage unit that stores an expiration date of a puncture repair liquid contained in a container, a notification condition setting unit that sets a notification period and a notification manner for notifying of a replacement period of the puncture repair liquid based on the expiration date stored in the storage unit, a notifying unit that notifies of the replacement period of the puncture repair liquid, and a control unit that controls the notifying unit based on settings of the notification condition setting unit; and notifying a user of the vehicle of the replacement period of the puncture repair liquid within a preset notification period including before and after the expiration date of the puncture repair liquid via a preset notification manner.
Vehicle ride-sharing assist system
A vehicle ride-sharing assist system includes a terminal including a user interface and a terminal processing unit; an action information managing server; and a ride-sharing managing server configured to create an operation schedule based on a desired ride-sharing condition, which includes at least one of a departure place, a departure time, an arrival place, and an arrival time of each user, transmitted from the terminal processing unit. The ride-sharing managing server is configured to set a recommended ride-sharing condition, which includes at least one of the departure place, the departure time, the arrival place, and the arrival time suitable for each user, based on the action information and transmit the recommended ride-sharing condition to the terminal processing unit. The terminal processing unit is configured to cause the user interface to display the recommended ride-sharing condition on receiving the recommended ride-sharing condition from the ride-sharing managing server.
Vehicle ride-sharing assist system
A vehicle ride-sharing assist system includes a terminal including a user interface and a terminal processing unit; an action information managing server; and a ride-sharing managing server configured to create an operation schedule based on a desired ride-sharing condition, which includes at least one of a departure place, a departure time, an arrival place, and an arrival time of each user, transmitted from the terminal processing unit. The ride-sharing managing server is configured to set a recommended ride-sharing condition, which includes at least one of the departure place, the departure time, the arrival place, and the arrival time suitable for each user, based on the action information and transmit the recommended ride-sharing condition to the terminal processing unit. The terminal processing unit is configured to cause the user interface to display the recommended ride-sharing condition on receiving the recommended ride-sharing condition from the ride-sharing managing server.
Automatically correcting discrepancies in time records
Disclosed are various embodiments for assisting time tracking using activity indicators. An activity indicator for a user is received by a computing device. The current status and the current schedule of the user are obtained. A determination can then be made that the current status of the user is incorrect based at least in part on a comparison between the activity indicator and the current schedule of the user. In response, the current status of the user can be corrected.
Automatically correcting discrepancies in time records
Disclosed are various embodiments for assisting time tracking using activity indicators. An activity indicator for a user is received by a computing device. The current status and the current schedule of the user are obtained. A determination can then be made that the current status of the user is incorrect based at least in part on a comparison between the activity indicator and the current schedule of the user. In response, the current status of the user can be corrected.
ON-LINE EDUCATION PLATFORM
An on-line education platform according to an embodiment of the present disclosure includes a main teacher video transmission system, an assistant teacher image management system, and a learning management system. The main teacher video transmission system unidirectionally provides a main teacher's teaching video to a plurality of student terminals. The assistant teacher image management system provides a bidirectional image or video together with each of the plurality of student terminals in response to event signals generated from the main teacher video transmission system and the plurality of student terminals based on the main teacher's teaching video. The learning management system provides control signals based on the event signals generated from the main teacher video transmission system and the plurality of student terminals and a remote support signal provided from the assistant teacher image management system.
DETECTING, ANALYZING, AND REPORTING TRANSACTION BOTTLENECKS
Average processing times associated with components of a transactions are maintained as performance metrics for the transactions. Ratios associated with the average processing times are normalized based on calendar dates, days of week, and times of day. A given transaction is analyzed in view of the averages and ratios and a bottleneck is identified within a time slice of the given transaction. A type of bottleneck detected within the time slice is further identified based on identifiers associated with resources of the time slice and a pattern associated with one or more of the identifiers. The transaction, time slice, type of bottleneck, and resource identifiers are reported to a retailer associated with a transaction terminal that processed the transaction through an interface.
DETECTING, ANALYZING, AND REPORTING TRANSACTION BOTTLENECKS
Average processing times associated with components of a transactions are maintained as performance metrics for the transactions. Ratios associated with the average processing times are normalized based on calendar dates, days of week, and times of day. A given transaction is analyzed in view of the averages and ratios and a bottleneck is identified within a time slice of the given transaction. A type of bottleneck detected within the time slice is further identified based on identifiers associated with resources of the time slice and a pattern associated with one or more of the identifiers. The transaction, time slice, type of bottleneck, and resource identifiers are reported to a retailer associated with a transaction terminal that processed the transaction through an interface.
Intelligent scoring model for assessing the skills of a customer support agent
Systems and methods for assessing the skills of a customer support agent using one or more Artificial Intelligence/Machine Learning (AI/ML) models are disclosed. In at least one embodiment, one or more benchmarks against which the performance of the customer support agent is to be measured are established. The one or more benchmarks may be derived through direct and/or indirect analysis of historical customer service data by an AI/ML benchmark model. In at least one embodiment, data relating to performance of the customer support agent during a customer call is monitored. In at least one embodiment, the AI/ML benchmark model is used to determine one or more benchmark scores identifying whether the customer support agent is meeting the one or more benchmarks.