DRIVER SUPPLY CONTROL

• US 20170193625A1
• Filed: 12/21/2015
• Published: 07/06/2017
• Est. Priority Date: 12/21/2015
• Status: Abandoned Application

• Current Assignee: LYFT Incorporated
• Original Assignee: LYFT Incorporated
• Inventors: Fan, Kevin, Lauzier, Ben
• Application Number:
  US14/977,353
• Publication Number:
  US 20170193625A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 30/0208 Trade or exchange of goods or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083

Abstract

A system for supply control includes an input interface and a processor. The input interface is to receive an indication of an expected event. The processor is to determine a historic event similar to the expected event, determine an expected driver demand for the expected event based at least in part on the similar historic event, and determine one or more incentives to meet the expected driver demand.

Claims

1. A system for supply control, comprising:

an input interface to receive an indication of an expected event; and

a processor to;

determine a historic event similar to the expected event;

determine an expected driver demand for the expected event based at least in part on the similar historic event; and

determine one or more incentives to meet the expected driver demand.

2. The system of claim 1, wherein the historic event is one of a plurality of historic events.

3. The system of claim 1, wherein the processor is to determine a number of drivers to notify.

4. The system of claim 3, wherein the number of drivers to notify is determined based at least in part on a model of driver incentive yield.

5. The system of claim 1, wherein a number of drivers driving during the expected event is determined.

6. The system of claim 5, wherein a number of drivers driving during the expected event as a result of the incentive is estimated.

7. The system of claim 6, wherein a model of driver incentive yield is updated based at least in part on the result of the incentive.

8. The system of claim 1, wherein the input interface is to receive an incentive opt in indication from a driver.

9. The system of claim 1, wherein the input interface is to receive an incentive opt out indication from a driver.

10. The system of claim 1, wherein an incentive of the one or more incentives is active in a geographic region.

11. The system of claim 1, wherein an incentive of the one or more incentives is active during a time period.

12. The system of claim 1, wherein a demand during the expected event is determined.

13. The system of claim 12, wherein the expected event information is stored as a historic event.

14. The system of claim 13, wherein the historic event is associated with an event type.

15. The system of claim 1, the expected driver demand is based at least in part on an expected driver demand for an event type.

16. The system of claim 1, wherein an incentive of the one or more incentives targets an associated driver type.

17. The system of claim 16, wherein the driver type comprises a highly rated driver type.

18. The system of claim 16, wherein the driver type comprises a driver associated with a different ride share service.

19. A method for driver incentives, comprising:

receiving an indication of an expected event;

determining, using a processor, a historic event similar to the expected event.

determining an expected driver demand for the expected event based at least in part on the similar historic event;

determining one or more incentives to meet the expected driver demand.

20. A computer program product for driver incentives, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

receiving an indication of an expected event;

determining a historic event similar to the expected event.

determining an expected driver demand for the expected event based at least in part on the similar historic event;

determining one or more incentives to meet the expected driver demand; and

notifying drivers of the one or more incentives.

21. A system for supply control, comprising:

an input interface to receive a metric associated with driver demand; and

a processor to;

determine a driver demand based on the metric; and

determine one or more incentives to meet the driver demand.

22. A system as in claim 21, wherein the processor is further to notify drivers of the incentive.

23. A system as in claim 21, wherein the processor is further to dispatch drivers.

24. A system as in claim 22, the processor is further to determine the one or more incentives effectiveness.