ON-DEMAND DELIVERY SYSTEM

• US 20160328669A1
• Filed: 05/04/2015
• Published: 11/10/2016
• Est. Priority Date: 05/04/2015
• Status: Active Application

• Current Assignee: Uber Technologies, Inc.
• Original Assignee: Uber Technologies, Inc.
• Inventors: Droege, Jason
• Application Number:
  US14/703,701
• Publication Number:
  US 20160328669A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/0832 Special goods or special handling procedures, e.g. handling of hazardous or fragile goods

Abstract

An on-demand delivery system enables users to order and receive inventory items, such as perishable goods and prepared food items. A demand for each inventory item may be forecasted and suppliers may be contacted to prepare inventory items to meet the forecasted demand. Supply vehicles are coordinated to pick up inventory packages and drop-off and transfer the inventory packages to delivery vehicles. During a given service period, requests are received, optimal vehicles are assigned to fulfill such requests, and correlated inventory data for each delivery vehicle are dynamically tracked.

Claims

1. A system comprising:

one or more processors; and

one or more memory resources storing instructions that, when executed by the one or more processors, cause the system to;

schedule a plurality of supply drop-offs of inventory packages by respective supply vehicles at a plurality of drop-off locations;

for each of the plurality of supply-drop offs, receive data corresponding to a plurality of inventory package transfers between the respective supply vehicles and a plurality of delivery vehicles, each inventory package comprising a plurality of inventory items;

receive, from a user device, an initial request for one or more of the plurality of inventory items from a requesting user at a specified location; and

in response to the initial request, assign an optimal one of the plurality of delivery vehicles to fulfill the initial request.

2. The system of claim 1, wherein the executed instructions cause the system to assign the optimal delivery vehicle to fulfill the initial request by (i) identifying respective locations of available delivery vehicles from the plurality of delivery vehicles, and (ii) selecting the optimal delivery vehicle based on a timing optimization between the specified location of the requesting user and the respective locations of the available delivery vehicles.

3. The system of claim 2, wherein the available delivery vehicles comprise drivers currently not fulfilling requests for inventory items.

4. The system of claim 3, wherein the available delivery vehicles further comprise drivers currently fulfilling one or more other requests for inventory items, and wherein the timing optimization further accounts for timing data corresponding to the one or more other requests.

5. The system of claim 4, wherein the instructions, when executed by the one or more processors, further cause the system to:

while the optimal delivery vehicle is traveling along a route to fulfill the initial request, receive a number of additional requests for inventory items from other user devices, the number of additional requests specifying a number of respective locations near the route;

based on the timing optimization, determine that the optimal delivery vehicle is most optimal to fulfill the number of additional requests; and

assign the optimal delivery vehicle to fulfill the number of additional requests.

6. The system of claim 5, wherein the instructions, when executed by the one or more processors, further cause the system to:

while the optimal vehicle is en route to fulfill the number of additional requests, determine, based on the timing optimization, that a second delivery vehicle is more optimal to fulfill the initial request than the optimal delivery vehicle; and

transfer the initial request from the optimal delivery vehicle to the second delivery vehicle.

7. The system of claim 2, wherein the timing optimization further accounts for traffic conditions for each of the available delivery vehicles.

8. The system of claim 2, wherein the instructions, when executed by the one or more processors, further cause the system to:

in response to assigning the optimal vehicle to fulfill the initial request, classifying the optimal delivery vehicle as an unavailable delivery vehicle; and

when the optimal delivery vehicle is within a predetermined distance or time from fulfilling the initial request, reclassifying the optimal delivery vehicle as one of the available delivery vehicles.

9. The system of claim 1, wherein the instructions, when executed by the one or more processors, further cause the system to:

prior to scheduling the plurality of supply drop-offs, (i) forecast a demand for the inventory items for a given time period over a given geographic region, (ii) place a number of orders for the inventory packages to one or more suppliers based on the forecasted demand, and (iii) communicate pick-up times to each respective supply vehicle to pick up the inventory packages from the one or more suppliers.

10. The system of claim 9, wherein the instructions, when executed by the one or more processors, further cause the system to:

during the given time period, dynamically generate a number of trends corresponding to requests for the inventory items within the given geographic region; and

based on a projection of one or more of the trends exceeding the forecasted demand, place one or more additional orders for inventory packages to at least one of the one or more suppliers.

11. The system of claim 10, wherein the instructions, when executed by the one or more processors, further cause the system to:

schedule an additional supply drop-off of the additional inventory packages for the given geographic region within the given time period.

12. The system of claim 1, wherein receiving the data comprises, for each respective one of the plurality of delivery vehicles, (i) receiving individual scan data for each of the inventory packages by a delivery device corresponding the respective delivery vehicle, and (ii) correlating the respective delivery vehicle to a total number of inventory items.

13. The system of claim 12, wherein each of the plurality of inventory packages comprises a radio-frequency identification (RFID) tag, and wherein each of the individual scan data corresponds to a scan, by the delivery device, of the RFID tag on the inventory package.

14. The system of claim 12, wherein the instructions, when executed by the one or more processors, further cause the system to:

maintain a dynamic inventory for each respective delivery vehicle, the dynamic inventory comprising a dynamic correlation between the respective delivery vehicle and the total number of inventory items.

15. The system of claim 14, wherein maintaining the dynamic inventory for each respective delivery vehicle comprises, in response to assigning the respective vehicle to fulfill a number of requests, decrementing the total number of inventory items for the respective delivery vehicle based on a number of inventory items requested in each of the number of requests.

16. The system of claim 14, wherein maintaining the dynamic inventory for each respective delivery vehicle comprises, decrementing the total number of inventory items for the respective delivery vehicle in response to individual confirmations from the delivery device, each of the individual confirmations corresponding to the delivery device indicating a successful delivery of a number of inventory items.

17. The system of claim 1, wherein each of the inventory packages comprises a standard composition of inventory items.

18. The system of claim 1, wherein each of the plurality of inventory items comprises a prepared food item.

19. A method of fulfilling on-demand delivery requests, the method performed by one or more processors of an on-demand delivery system and comprising:

scheduling a plurality of supply drop-offs of inventory packages by respective supply vehicles at a plurality of drop-off locations;

for each of the plurality of supply-drop offs, receiving scan data corresponding to a plurality of inventory package transfers between the respective supply vehicles and a plurality of delivery vehicles, each inventory package comprising a plurality of inventory items;

receiving, from a user device, an initial request for one or more of the plurality of inventory items from a requesting user at a specified location; and

in response to the initial request, assigning an optimal one of the plurality of delivery vehicles to fulfill the initial request.

20. A non-transitory computer readable medium storing instructions for fulfilling on-demand delivery requests, wherein the instructions, when executed by one or more processors of an on-demand delivery system, cause the on-demand delivery system to:

schedule a plurality of supply drop-offs of inventory packages by respective supply vehicles at a plurality of drop-off locations;

for each of the plurality of supply-drop offs, receive scan data corresponding to a plurality of inventory package transfers between the respective supply vehicles and a plurality of delivery vehicles, each inventory package comprising a plurality of inventory items;

receive, from a user device, an initial request for one or more of the plurality of inventory items from a requesting user at a specified location; and

in response to the initial request, assign an optimal one of the plurality of delivery vehicles to fulfill the initial request.