Field service reservation intelligent queuing system and method thereof based on Internet and geographic position
A geographical location and Internet technology, applied in the field of on-site service reservation intelligent queuing system, can solve the problems of information asymmetry, slow information interaction, waste of resources, etc., and achieve the effect of strong economic and social significance and rational use of resources
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[0025] Example 1:
[0026] The service place is set as the car wash place, and the user is the user’s car. The user can check the current situation information of the car wash place through a mobile phone or computer, select a car wash place, and provide an appointment time.
[0027] While the cloud server obtains the user information reservation entry and the service location information entry status, the cloud server can make advance reservations with multiple service locations in accordance with the strategy set by the user to avoid changes in the number of people in the queue during the user operation.
[0028] The cloud server will predict the time required for the user to arrive at the service location based on the real-time traffic information, queue the user to the corresponding position in the queue according to the FIFO principle, and cancel the pre-booked relationship between the user and other service locations.
[0029] The judgment of the internal strategy program of the ...
Example Embodiment
[0034] Example 2:
[0035] The service location is set as a car 4S shop, and the user is the user’s car. The user can check the status information of the car 4S shop through a mobile phone or computer, select a car 4S shop, and provide an appointment time,
[0036] While the cloud server obtains the user information reservation entry and the service location information entry status, the cloud server can make advance reservations with multiple service locations in accordance with the strategy set by the user to avoid changes in the number of people in the queue during the user operation.
[0037] The cloud server will predict the time required for the user to arrive at the service location based on the real-time traffic information, queue the user to the corresponding position in the queue according to the FIFO principle, and cancel the pre-booked relationship between the user and other service locations.
[0038] The judgment of the internal strategy program of the cloud server, the b...
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