SYSTEMS AND METHODS USING CROWD SOURCED WAIT TIME INFORMATION

• US 20150081348A1
• Filed: 08/19/2014
• Published: 03/19/2015
• Est. Priority Date: 09/13/2013
• Status: Abandoned Application

• Current Assignee: Scott C. Avera, Scott Miller
• Original Assignee: Scott C. Avera, Scott Miller
• Inventors: Avera, Scott C., Miller, Scott
• Application Number:
  US14/463,312
• Publication Number:
  US 20150081348A1
• Time in Patent Office: Days
• US Class Current: 705/5
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

A system and method of providing crowdsourced wait time information for a venue includes receiving wait time information for a venue from first user, receiving a query about the venue from a second user, determining wait time for the venue based at least in part on the wait time information from the first user, and sending the determined wait time for the venue to the second user. The system and method can also include providing a promotional offer to one or more of the first user, the second user, or the venue. The system and method can also include providing wait time for a second venue in response to the query about the first venue.

Claims

1. A computer-implemented method of providing wait time information, comprising:

receiving, from a first computing device associated with a first user, an indication of wait time at a venue;

receiving, from a second computing device associated with a second user, a query related to the venue;

determining wait time information for the venue based at least in part on the indication of wait time at the venue from the first user;

sending wait time information for the venue to the second computing device associated with the second user; and

offering, to at least one of the first user, the second user, or the venue, a promotional offer.

2. The computer-implemented method of claim 1, further comprising:

receiving, from a computing device associated with a third user, an indication of wait time at a second venue;

determining wait time information for the second venue based at least in part on the indication of wait time at the second venue from the third user; and

sending the wait time information for the second venue to the second computing device associated with the second user.

3. The computer-implemented method of claim 2, wherein the second venue is in proximity to the venue.

4. The computer-implemented method of claim 2, wherein the wait time of the second venue is less that the wait time of the venue.

5. The computer-implemented method of claim 1, further comprising:

sending wait time information for a plurality of other venues that each have at least one venue characteristic in common with the venue and that are each within a threshold proximity of the venue.

6. The computer-implemented method of claim 5, further comprising:

presenting, on the second computing device associated with the second user, one or more graphical display elements indicative of the wait time information for the venue and the plurality of other venues selected from the group consisting of

a color-coded representation of the wait time information,

a heat map graphical representation of the wait time information, and

a bar graph representation of the wait time information.

7. The computer-implemented method of claim 5, wherein the threshold proximity is selected from the group consisting of within approximately a mile of the venue, within a selectable fraction of a mile of the venue, within approximately a city block of the venue, on a same street as the venue, and on an adjoining street to the street of the venue.

8. The computer-implemented method of claim 1, wherein the venue is selected from the group consisting of a restaurant, a bar, an entertainment venue, a service provider, a repair shop, an automotive repair shop, a mechanic'"'"'s shop, a shopping venue, a government agency, a bureau of motor vehicles, a security checkpoint, a service provider, a physician'"'"'s office, an attorney'"'"'s office, a transportation resource, a bus depot, a taxi stand, a ferry dock, an airport, an airline check-in counter, a subway stop, a subway line, a customer service provider, a computer help desk, a telephone support site, a software support site, a network provider, a retailer, and an online service center.

9. The computer-implemented method of claim 1, wherein determining wait time information further comprises:

obtaining stored user information about the first user; and

screening the indication of the wait time from the first user based at least in part on the stored user information about the first user.

10. The computer-implemented method of claim 1, wherein determining wait time information further comprises:

obtaining stored historical wait time information about the venue; and

determining wait time information for the venue based at least in part on the stored historical wait time information about the venue.

11. The computer-implemented method of claim 10, wherein the store historical wait time information includes a set of wait times from one or more users and wherein determining wait time information further comprises:

applying, to produce a set of screened wait times, at least one of

a screening algorithm to remove wait times associated with a particular user from the set of wait times,

a sigma bell curve algorithm to the plurality of wait times to remove wait times outside a selected distribution from the set of wait times, and

a decay algorithm to the plurality of wait times to remove wait times outside of a selected time window from the set of wait times; and

determining wait time information for the venue based at least in part on the set of screened wait times.

12. The computer-implemented method of claim 1, wherein determining wait time information further comprises:

obtaining, from a third party source, information that predictably impacts wait time at the venue; and

determining wait time information for the venue based at least in part on the information that predictably impacts wait time at the venue.

13. The computer-implemented method of claim 12, wherein the information that predictably impacts wait time at the venue is selected from one or more data of the group consisting of current weather information, weather forecasts, temperature forecasts, local scheduled activities, concerts, sporting events, reservation system information, transportation schedules, transportation data, economic data, news feeds, and social media postings and messages.

14. The computer-implemented method of claim 1, further comprising:

selecting, by a first user, a wait time for the venue from a selectable list of wait times; and

sending the indication of wait time at the venue, the indication of wait time includes the wait time selected from the selectable lists of wait times.

15. A computer-implemented method of providing wait time information, comprising:

receiving, from a computing device associated with a user, a query related to at least one venue;

obtaining venue information responsive to the query;

determining the identity of at least one venue from the venue information;

obtaining wait time information for at least one venue identified in the determining operation;

associating wait time information with the venue information; and

sending the venue information and associated wait time information to the computing device associated with the user.

16. A non-transitory computer readable medium having instructions stored thereon that when executed by one or more processors causes the processors to:

receive wait time information about a venue from a plurality of users of a crowdsourced wait time management service;

receive, from a user, a query about a current wait time for the venue;

determine the current wait time for the venue based at least in part on the wait time information from at least a subset of the plurality of users;

send, to the user, the current wait time for the venue; and

provide one or more action steps to the user related to the venue.

17. The non-transitory computer readable medium of claim 16, wherein the instructions further cause the one or more processors to:

receive, from the user, an indication of a selected action step;

send, to the venue, a message relating to the selected action step;

receive, from the venue, a confirmation message regarding the selected action step; and

send, to the user, confirmation by the venue of the selected action step.

18. The non-transitory computer readable medium of claim 17, wherein the selected action step is selected from the group consisting of

a request for a reservation for the user at the venue, and

a request to place the user on a wait list at the venue.

19. The non-transitory computer readable medium of claim 16, wherein at least one of the one or more action steps is configured to allow the user to communicate with the venue to perform one or more of

making a reservation for the user at the venue,

placing the user on a wait list at the venue, and

initiating a phone call between the user and venue.

20. The non-transitory computer readable medium of claim 19, wherein communications between the venue and user are performed directly without using the crowdsourced wait time management service.