Google llc (20240127136). Wait Time Prediction simplified abstract
Contents
- 1 Wait Time Prediction
Wait Time Prediction
Organization Name
Inventor(s)
Li-Sue Chen of San Jose CA (US)
Steve Chien of San Carlos CA (US)
Quang Duong of San Francisco CA (US)
Tong Wang of San Francisco CA (US)
Xixi Wang of Cupertino CA (US)
Wait Time Prediction - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240127136 titled 'Wait Time Prediction
Simplified Explanation
The wait time prediction technology determines expected wait times for businesses or other public services using a model generated based on at least historical wait times for the business. In response to a request from a user, an expected wait time for service at the business for at least one particular time period on a particular day of a week is determined using the model and provided for display. User feedback regarding the expected wait time may be requested, and used to refresh the model as new wait times and other information are collected.
- The technology uses historical wait times to predict expected wait times for businesses or public services.
- Users can request the expected wait time for a specific time period on a particular day of the week.
- User feedback is collected and used to update the model for more accurate predictions.
Potential Applications
This technology can be applied in various industries such as:
- Retail
- Healthcare
- Hospitality
- Transportation
Problems Solved
This technology helps businesses and public services in:
- Managing customer expectations
- Improving service efficiency
- Reducing customer wait times
Benefits
The benefits of this technology include:
- Enhanced customer satisfaction
- Optimal resource allocation
- Improved operational planning
Potential Commercial Applications
The potential commercial applications of this technology include:
- Queue management systems
- Appointment scheduling software
- Customer service optimization tools
Possible Prior Art
One possible prior art for this technology could be the use of predictive analytics in customer service industries to forecast demand and optimize service delivery.
Unanswered Questions
How does the technology handle real-time updates of wait times?
The article does not provide information on how the technology handles real-time updates of wait times to ensure accurate predictions.
What measures are in place to protect user data privacy?
The article does not address the measures in place to protect user data privacy when collecting feedback for model updates.
Original Abstract Submitted
the wait time prediction technology determines expected wait times for businesses or other public services using a model generated based on at least historical wait times for the business. in response to a request from a user, an expected wait time for service at the business for at least one particular time period on a particular day of a week is determined using the model and provided for display. user feedback regarding the expected wait time may be requested, and used to refresh the model as new wait times and other information are collected.
