JUST IN TIME PICKUP OR RECEIPT OF GOODS OR SERVICES BY A MOBILE USER

• US 20090228325A1
• Filed: 03/06/2008
• Published: 09/10/2009
• Est. Priority Date: 03/06/2008
• Status: Active Grant

• Current Assignee: Now On Wireless LLC
• Original Assignee: J Simmons D Pewzner & B KOLE
• Inventors: Pewzner, David Serge Nissim, Simmons, Joel Dennis
• Granted Patent: US 7,974,873 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06313 Resource planning in a project environment
• CPC Class Codes: G06Q 10/06316 Sequencing of tasks or work
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 50/10 Services

Abstract

Embodiments are directed towards dynamically determining a merchant to provide just in time (JIT) goods/services/appointments to a mobile customer by seeking to minimize the mobile customer'"'"'s wait time or optimizing another parameter. A registered user may place an order with a JIT service for a good/server using a mobile device. The JIT service determines a merchant/location that may satisfy the order based on attempting to minimize the user'"'"'s wait time. At any time before a locktime is reached, the JIT service, the selected merchant location, and/or the user may modify the request. For example, the JIT service may select another merchant location to satisfy the request based on dynamically updating wait times at the selected location and other possible merchant locations, as well as other parameters. The JIT service may also track behaviors of the user to suggest recurring orders, modifications to orders, or changes in merchant locations.

Claims

1. A method for use in managing orders for a mobile user, comprising:

receiving an order for at least one good or service from the mobile user;

dynamically selecting a merchant location to fulfill the order based in part on dynamically varying merchant conditions and a predicted time to the selected merchant location by the mobile user, wherein the selected merchant location is further selected based on minimizing an estimated wait time for the mobile user to pickup the order;

while the predicted time to the selected merchant location by the mobile user is greater than a locktime for the order, enabling the order to be modified; and

receiving acknowledgement of order fulfillment if the order is fulfilled by the selected merchant location.

2. The method of claim 1, wherein dynamically selecting the merchant location further comprises:

dynamically determining a predicted time to the selected merchant location by the mobile user based on at least one of a traffic condition, an expected destination of the mobile user in a route,

evaluating dynamically varying merchant conditions that include at least one of a busyness level, or an inventory level for items associated with the order; and

combining the dynamically varying merchant conditions with the predicted time for each of a plurality of merchant sites that might be able to fulfill the order to generate a score for each of the plurality of merchant sites; and

selecting the merchant location based on its resulting score.

3. The method of claim 1, further comprising:

tracking a behavior of the mobile user to identify recurring patterns usable to modify the order or another order.

4. The method of claim 1, wherein the order is based on a randomized order, a recurring order, or a single entry order, wherein the randomized order is generated based on at least one criteria identified by the mobile user.

5. The method of claim 1, wherein if at least one of a dynamically varying merchant condition changes such that the selected merchant is detected as unable to satisfy the order within a determined minimal wait time, performing at least one of dynamically selecting another merchant location from a plurality of other merchant locations or prompting the mobile user to modify the order.

6. The method of claim 1, wherein enabling the order to be modified further comprises, enabling the order to be modified based on a change in conditions of the selected merchant location, a change in a predicted time to the selected merchant location by the mobile user, or receiving a request to modify the order from the mobile user.

7. A network device for managing orders over a network, comprising:

a transceiver to send and receive data over the network; and

a processor that is operative to perform actions, including;

receiving an order for at least one good or service from the mobile user;

identifying a plurality of merchant locations to satisfy the order;

dynamically selecting a merchant location from the plurality of merchant locations to fulfill the order with a minimal wait time for the mobile user to pickup the order based in part on dynamically varying merchant conditions;

while a predicted time to the selected merchant location by the mobile user is greater than a locktime for the order, enabling the order to be modified; and

receiving acknowledgement of order fulfillment if the order is fulfilled by the selected merchant location.

8. The network device of claim 7, wherein enabling the order to be modified further comprises enabling at least one of the following to be modified:

the selected merchant location, the order, an expected pickup time for the order.

9. The network device of claim 7, wherein enabling the order to be modified further comprises:

performing a dynamic determination of an inventory of the selected merchant location;

performing a dynamic determination of a busyness level of the selected merchant location;

performing a dynamic determination of a proximity range of the mobile user to the selected merchant location; and

based on performing the dynamic determinations, prompting the user to enable the order to be modified.

10. The network device of claim 7, wherein enabling the order to be modified further comprises modifying the order based on change in an expected pickup time for the order based, in part, on a change in a traffic condition.

11. The network device of claim 7, wherein the order is based in part on at least one of a recurring order or a randomized order.

12. The network device of claim 7, wherein dynamically selecting a merchant location further comprises employing a location of the mobile user or a predicted route of the mobile user to a location other than the selected merchant location.

13. The network device of claim 7, wherein enabling the order to be modified further comprises enabling the order to be modified based on a tracked behavior of the mobile user.

14. A system for use in managing pickup or delivery of a good or service, comprising:

a plurality of merchant locations; and

a network device that is configured to manage an order for the good or server by performing actions, including;

receiving an order for at least one good or service from a user;

dynamically selecting a merchant location from the plurality of merchant locations to fulfill the order to optimize at least one parameter for the user to pickup the order based in part on dynamically varying merchant conditions and a location of the user;

while a predicted time to the selected merchant location by the user is greater than a locktime for the order, enabling the order to be modified; and

receiving acknowledgement of order fulfillment if the order is fulfilled by the selected merchant location.

15. The system of claim 14, wherein the at least one parameter to optimize is selected from at least one of a user'"'"'s wait time, a user'"'"'s route, a user'"'"'s schedule, or an order time.

16. The system of claim 14, wherein the order is based on a randomized order that further is based on randomizing at least one of a component of the order, or a location of the order using at least one user specified preference.

17. The system of claim 14, wherein enabling the order to be modified further comprises prompting the user to modify the order based on a potential time conflict.

18. A computer-readable medium configured to store data and instructions thereon, wherein the execution of the instructions on a computing device enable the computing device to perform actions for managing pickup or delivery of a good or service by a user, comprising:

receiving an order for at least one good or service from the user;

identifying a plurality of merchant locations from which the order might be fulfilled;

dynamically selecting a merchant location from the plurality of merchant locations to fulfill the order by optimizing a selectable parameter for the user to pickup the order based in part on dynamically varying merchant conditions and a location of the user;

while a predicted time to the selected merchant location by the user is greater than a locktime for the order, enabling the order to be modified; and

receiving acknowledgement of order fulfillment if the order is fulfilled by the selected merchant location.

19. The computer-readable medium of claim 18, wherein optimizing the selectable parameter comprises optimizing at least one of a wait time, an order time, a route, or a schedule.

20. The computer-readable medium of claim 18, wherein the location of the user is determined using at least one location detection device, and wherein the predicted time to the selected merchant location is determined based in part on a traffic condition.

21. The computer-readable medium of claim 18, wherein the user is provided with at least one mechanism to enable monitoring of a status of the order.

22. The computer-readable medium of claim 18, wherein dynamically selecting the merchant location further comprises determining the merchant location based on at least one of a user criteria, a quickest arrival time at an expected destination, a quickest order pickup time, or a least travel time.

23. A method for use in managing orders for a user, comprising:

receiving an order for at least one good or service from the user;

dynamically selecting a merchant location to fulfill the order based in part on dynamically varying merchant conditions and a predicted time to the selected merchant location by the user, wherein the selected merchant location is further selected based on optimizing at least one user-selectable parameter associated with the order;

while the predicted time to the selected merchant location by the user is greater than a locktime for the order, enabling the order to be modified; and

receiving acknowledgement of order fulfillment if the order is fulfilled by the selected merchant location.

24. The method of claim 23, wherein the at least one user-selectable parameter to optimize is selected from at least one of a user'"'"'s wait time, a user'"'"'s route, a user'"'"'s schedule, or an order time.

25. The method of claim 23, wherein the predicted time to the selected merchant location by the user is based on at least one of the user entering into a user interface the predicted time or a location, or based on the user calling the merchant location and providing at least one of a location or the predicted time.