IP Library Granted Patent US 10,977,704
Granted Patent B2
US 10,977,704 · App. 15/862,284 · Granted Apr 13, 2021

In store voice picking system

Inventor: Michael Donovan McCarthy (Mason, OH)
Assignee: Intelligrated Headquarters, LLC
G06Q30/0617G06Q30/0635G06Q30/0639
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Quick Facts
Patent No.
US 10,977,704
App. No.
15/862,284
Granted
Apr 13, 2021
Kind
B2
Abstract

Systems, methods, devices, and non-transitory processor readable media of the various embodiments enable in store voice picking systems. In various embodiments, an end-to-end voice ordering and fulfillment system for a retail store may enable a customer to place an order over the phone, a personal shopper to be directed to fill the order via voice commands, and the order to be made available for pickup at the retail store by the customer or delivered to the customer from the retail store.

Claims (42)

1. A voice picking system, comprising a server processor that is configured to:

receive a voice call from a customer's mobile device;

generate a plurality of orders containing one or more items based on voice inputs received from the customer during the voice call;

perform a first sort of the one or more items in the plurality of orders, wherein the first sort indicates an order in which sorted items are to be picked;

assign a bag in a cubby of a cart to a selected order, wherein the selected order comprises the sorted items from among the plurality of orders, wherein the bag is assigned based on an item type of an item and a number of items within a pick order to ensure that an appropriate number of items within the pick order do not overflow the bag of the selected order;

send a voice indication to a personal shopper system to pick the sorted items and place the sorted items in the bag based on the item type; and

perform a second sort of the sorted items of the selected order based on at least a current location of the personal shopper system, wherein the server processor is configured to receive an indication of the current location of the personal shopper system from a Global Positioning System (GPS) transceiver installed in the cart.

2. The voice picking system of claim 1 , wherein the cart further comprises:

a scale provided in the cubby to detect a weight of the sorted items placed in the bag, wherein the weight is detected to verify placement of the sorted items in the bag in the cubby.

3. The voice picking system of claim 1 , wherein the cart further comprises:

an illuminating light provided in the cubby to indicate to a personal shopper of the personal shopper system to place the sorted items for the selected order in the bag in the cubby assigned for the selected order.

4. The voice picking system of claim 1 , wherein the server processor is configured to identify the customer based on a stored voice signature of the customer.

5. The voice picking system of claim 1 , wherein the server processor is configured to identify a store to fulfill the order placed by the customer based on a current location of the customer.

6. The voice picking system of claim 1 , wherein the server processor sends the voice indication to the personal shopper system to fulfil the order based on at least one of availability of the personal shopper system, performance metrics of the personal shopper system, time worked by the personal shopper system, average picking speed of the personal shopper system, distance traveled by the personal shopper system, or qualification level of the personal shopper system.

7. The voice picking system of claim 1 , wherein the server processor is further configured to:

receive an indication of the current location of the personal shopper system by periodically reading RFID tags installed in a store through an RFID reader installed in the cart; and

sort the one or more items of the selected order based at least in part on the indication of the current location of the personal shopper system.

8. The voice picking system of claim 7 , wherein the server processor is further configured to receive an indication of the current location of the personal shopper system from a GPS receiver installed in the cart.

9. The voice picking system of claim 1 , wherein the cart comprises the personal shopper system which includes a headset with a speaker and a microphone to provide voice indications to a personal shopper.

10. The voice picking system of claim 9 , wherein the personal shopper system establishes a communication with the server processor through transceivers installed in the cart.

11. The voice picking system of claim 1 , wherein the server processor is configured to:

receive voice indication signals from the personal shopper system confirming the pick of the one or more items of the selected order from their associated locations.

12. The voice picking system of claim 1 , further comprising a portable receipt printer, where the server processor is configured to operate the portable receipt printer to print a receipt for affixing it to a completed order, and wherein the portable receipt printer may be installed on the cart.

13. A method of using an end-to-end ordering and fulfillment system, the method comprising:

receiving a voice call from a customer's mobile device;

generating a plurality of orders containing one or more items based on voice inputs received from the customer during the voice call;

performing a first sort of the one or more items in the plurality of orders, wherein the first sort indicates an order in which sorted items are to be picked;

assigning a bag in a cubby of a cart to receive a selected order, wherein the selected order comprises the sorted items from among the plurality of orders, the bag assigned based on a type of one or more items and a number of one or more items within the selected order to ensure that the sorted items of the selected order fit within the bag in which the sorted items are placed;

sending an indication to a personal shopper system to pick the sorted items; and

performing a second sort of the sorted items of the selected order based on at least a current location of the personal shopper system, wherein the current location of the personal shopper system is received as an indication from a Global Positioning System (GPS) transceiver installed in the cart.

14. The method of claim 13 , further comprising:

receiving voice indication signals from the personal shopper system confirming the pick of the sorted items of the selected order from their associated locations.

15. The method of claim 13 , further comprising:

receiving an indication of the current location of the personal shopper system by periodically reading RFID tags installed in a store through an RFID reader installed in the cart; and

sorting the one or more items of the selected order based at least in part on the indication of the current location of the personal shopper system.

16. The method of claim 13 , further comprising:

establishing a communication with a server processor through transceivers installed in the cart; and

sending indication signals from the cart confirming the picking of the one or more items of the selected order.

17. The method of claim 13 , further comprising:

identifying the customer based on a stored voice signature of the customer;

and

identifying a store to fulfill the order placed by the customer based on a current location of the customer.

Assignments (3)
SECURITY AGREEMENT Recorded Jul 29, 2026
From: INTELLIGRATED HEADQUARTERS, LLC; TRANSNORM SYSTEM INC.; HILMOT, LLC; TREW, LLC; UNITED SORTATION SOLUTIONS LLC; TECH KING OPERATIONS, LLC
To: ALLY BANK, AS COLLATERAL AGENT
Reel/Frame 076077/0385 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE NAME PREVIOUSLY RECORDED AT REEL: 044600 FRAME: 084. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Feb 19, 2021
From: MCCARTHY, MICHAEL DONOVAN
To: INTELLIGRATED HEADQUARTERS, LLC
Reel/Frame 055343/0180 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 11, 2018
From: MCCARTHY, MICHAEL DONOVAN
To: INTELLIGRATED HEADQUARTERS LLC
Reel/Frame 044600/0841 →
Continuity (3)
Continuation 14627933 · Feb 20, 2015
Provisional Application 61955548 · Mar 19, 2014
Related Publication 20180130110A1 · May 10, 2018