Data structure analytics for real-time recommendations

Patent metadata

Field	Value
Publication number	US-11636456-B2
Application number	US-202017008530-A
Country	US
Kind code	B2
Filing date	Aug 31, 2020
Priority date	Sep 30, 2015
Publication date	Apr 25, 2023
Grant date	Apr 25, 2023

Abstract

Techniques and arrangements for analyzing previous tickets of a customer at different merchants—specifying interactions of the customer at the different merchants—to determine subsequent recommendations to send to a particular merchant in real-time when the customer is located at the particular merchant. Other techniques and arrangements facilitate annotation of merchant tickets by the merchants to enrich the data maintained by the tickets and, in some instances, to enhance the described real-time recommendations. Still other techniques and arrangements create a merchant ticket for recording interactions between a merchant and customer upon the customer creating a reservation at the merchant for a specified future time, or being added to a waitlist of the merchant. Upon the customer arriving at the merchant proximate to the specified future time, the merchant may use the created ticket to track items ordered by the merchants, track tenders used to pay for items, and the like.

First claim

What is claimed is:

1. A method comprising:
obtaining, by one or more servers associated with a payment service and at a first time, a first data structure generated in association with a first engagement between a customer and a merchant to track one or more interactions between the customer and the merchant,
obtaining, by the one or more servers and at a second time subsequent to the first time, an indication that a second data structure has been generated in association with a second engagement between the customer and one of the merchant or another merchant;
analyzing, by the one or more servers, the first data structure and the second data structure;
generating, by the one or more servers, one or more recommendations based on the analyzing; and
surfacing, by the one or more servers, the one or more recommendations.

2. The method as claim 1 recites, wherein the first data structure is obtained from a first point-of-sale (POS) device associated with the merchant and the second data structure is received from a second POS device of the merchant, wherein the first POS device is located in a first section of a restaurant associated with the merchant and the second POS device is located in a second section of the restaurant.

3. The method as claim 2 recites, wherein the second data structure comprises a synchronized data structure created from data received from the first POS device and the second POS device.

4. The method as claim 1 recites,
wherein the first data structure indicates that the customer has been added at the first time to a reservation associated with the merchant,
wherein the second data structure indicates that the customer has ordered, at the second time, items or services from the other merchant, wherein an application executing on a device associated with the customer displays a limited set of a plurality of items and services available at the other merchant from which to order,
and wherein the one or more recommendations include a recommendation that a first payment associated with the first data structure and a second payment associated with the second data structure be aggregated.

5. The method as claim 1 recites,
wherein the first data structure is obtained from a merchant device of the merchant and indicates that the customer has been added at the first time to a waitlist of the merchant,
wherein the second data structure is obtained from another merchant device of the other merchant remote from the merchant device and indicates that the customer has ordered, at the second time, at least one first item from a limited set of items available at the other merchant, and
wherein the one or more recommendations include a recommendation that the customer order at least one second item of a set of second items, wherein the set of second items comprises a limited set of a plurality of items available at the merchant.

6. A system comprising:
one or more processors;
one or more non-transitory computer-readable media storing instructions executable by the one or more processors, wherein the instructions program the one or more processors to perform actions comprising:
receiving, by one or more servers associated with a payment processing service and from a first point-of-sale (POS) device of a first merchant, a first data structure for recording first interactions between a customer and the first merchant, wherein the first data structure indicates that the customer has been added at a first time to a waitlist associated with the first merchant;
receiving, by the one or more servers associated with the payment processing service and from a second POS device, a second data structure, wherein the second data structure indicates that the customer has ordered, at a second time, items or services;
analyzing, by the one or more servers, the first data structure and the second data structure;
generating, by the one or more servers, a recommendation that a first payment associated with the first data structure and a second payment associated with the second data structure be aggregated; and
surfacing, by the one or more servers, the recommendation on at least one of the first POS device or the second POS device.

7. The system as claim 6 recites, wherein the second POS device comprises a second POS device of the first merchant in a same merchant establishment as the first POS device.

8. The system as claim 7 recites, wherein the first merchant comprises a restaurant, and wherein the second POS device is located at a bar within the restaurant.

9. The system as claim 6 recites, wherein the second POS device is associated with a second merchant, wherein the recommendation comprises a first recommendation, and the actions further comprising:
responsive to receiving the first data structure, generating, by the one or more servers, a second recommendation that the customer visit an establishment of the second merchant while waiting.

10. The system as claim 9 recites, wherein the second recommendation is based at least in part on determining, by the one or more servers, a first location of the first merchant and a second location of the second merchant.

11. A method comprising:
receiving, by one or more servers associated with a payment service and from a first merchant device associated with a first merchant, a first data structure for recording first interactions between a customer and the first merchant, wherein the first data structure indicates that the customer has been added at a first time to a reservation of the first merchant;
receiving, by the one or more servers and from a second merchant device remote from the first merchant device, a second data structure for recording second interactions of the customer during a transaction of the customer, wherein the second data structure indicates that the customer has ordered, at a second time, at least one first item of a limited set of first items available at a location of the second merchant device;
analyzing, by the one or more servers, the first data structure and the second data structure;
generating, by the one or more servers, a recommendation that the customer order at least one second item of a limited set of second items, wherein the limited set of second items comprises a subset of a plurality of items offered for sale by the first merchant; and
surfacing, by the one or more servers, the recommendation on the second merchant device.

12. The method as claim 11 recites, wherein the second data structure further indicates content of a free-form note documenting a verbal exchange that occurred between an employee and the customer during the transaction, wherein the recommendation comprises a first recommendation, and the method further comprising:
generating, by the one or more servers, a second recommendation based at least in part on the content of the free-form note.

13. The method as claim 12 recites, wherein the free-form note indicates a sentiment of the customer as perceived by the employee associated with the transaction.

14. The method as claim 11 recites, wherein the second merchant device is associated with the first merchant, and wherein the transaction occurs at a same establishment at which the first merchant device is located.

15. The method as claim 14 recites, wherein the first merchant comprises a restaurant, and wherein the second merchant device is located at a bar within the restaurant.

16. The method as claim 11 recites, further comprising:
receiving, by the one or more servers, an updated second data structure indicating user input selecting at least one second item to order;

Assignees

• Block Inc

Inventors

• Wilson Mathew
• Huhn Derrick
• Wolter Jonathan Andrew
• Moody Ryder
• Simms Dan

Classifications

• G06Q20/102

  Bill distribution or payments · CPC title

• G06Q30/0631

  Recommending goods or services · CPC title

• G06Q20/4016

  involving fraud or risk level assessment in transaction processing · CPC title

• G06Q20/389

  Keeping log of transactions for guaranteeing non-repudiation of a transaction · CPC title

• G06Q20/405

  Establishing or using transaction specific rules · CPC title