Granted Patent B2

US 12,316,633 · App. 17/867,975 · Granted May 27, 2025

Inventor: John Jong-Suk Lee (Waterloo, CA)

Assignee: Shopify Inc.

H04L63/10

Abstract

Claims (53)

1. A computer-implemented method, comprising:

receiving, at a server, a designation of a non-fungible token collection in connection with a merchant account, each non-fungible token in the non-fungible token collection having a respective combination of non-fungible token attributes;

detecting an association between one or more product records and a combination of two or more of the non-fungible token attributes;

automatically generating an access rule with regard to the one or more product records, wherein the access rule is conditional on ownership of one of the non-fungible tokens of the non-fungible token collection that has the combination of the two or more of the non-fungible token attributes; and

applying the access rule to provide a user device with access to the one or more product records based on verification of the ownership of the one of the non-fungible tokens by the user device, wherein the verification of the ownership of the one of the non-fungible tokens by the user device includes:

receiving, from the user device, at least an NFT identifier;

querying a blockchain regarding the NFT identifier;

receiving, from the blockchain, non-fungible token data associated with the NFT identifier including ownership data that includes a wallet identifier; and

verifying that the wallet identifier in the ownership data matches a user device wallet identifier.

2. The computer-implemented method of claim 1 , wherein detecting the association includes:

detecting a newly-minted token in the non-fungible token collection, the newly-minted token having a set of attributes that includes the combination of the two or more of the non-fungible token attributes; and

detecting a correlation between the combination of the two or more of the non-fungible token attributes and the one or more product records.

3. The computer-implemented method of claim 2 , wherein the one or more product records include product attributes, and wherein the correlation is based on matching between the product attributes and the combination of two or more of the non-fungible token attributes.

4. The computer-implemented method of claim 3 , wherein the correlation has an associated correlation metric, and wherein automatically generating is based on determining that the correlation metric exceeds a minimum confidence threshold.

5. The computer-implemented method of claim 1 , wherein verifying that the wallet identifier in the ownership data matches the user device identifier includes validating a cryptographic signature from the user device using the wallet identifier.

6. The computer-implemented method of claim 1 , wherein the non-fungible token data further includes the combination of two or more of the non-fungible token attributes.

7. The computer-implemented method of claim 1 , wherein the one or more product records relate to at least one of a discount on a product item or a limited-edition product item.

8. The computer-implemented method of claim 1 , wherein applying the access rule to provide a user device with access to the one or more product records includes providing the user device with a restricted product record for a requested product item when ownership of the one of the non-fungible tokens by the user device is verified and providing the user device with an unrestricted product record for the requested product item when ownership of the one of the non-fungible tokens by the user device cannot be verified.

9. A computing system, comprising:

one or more processing units;

one or more data storage units; and

memory storing processor-executable instructions that, when executed by the one or more processing units, are to cause the processing units to:

receive a designation of a non-fungible token collection in connection with a merchant account, each non-fungible token in the non-fungible token collection having a respective combination of non-fungible token attributes;

detect an association between one or more product records and a combination of two or more of the non-fungible token attributes;

automatically generate an access rule with regard to the one or more product records, wherein the access rule is conditional on ownership of one of the non-fungible tokens of the non-fungible token collection that has the combination of the two or more of the non-fungible token attributes; and

apply the access rule to provide a user device with access to the one or more product records based on verification of the ownership of the one of the non-fungible tokens by the user device, wherein the verification of the ownership of the one of the non-fungible tokens by the user device includes:

receiving, from the user device, at least an NFT identifier;

querying a blockchain regarding the NFT identifier;

receiving, from the blockchain, non-fungible token data associated with the NFT identifier including ownership data that includes a wallet identifier; and

verifying that the wallet identifier in the ownership data matches a user device wallet identifier.

10. The computing system of claim 9 , wherein the instructions, when executed, are to cause the processing units to detect the association by:

detecting a newly-minted token in the non-fungible token collection, the newly-minted token having a set of attributes that includes the combination of the two or more of the non-fungible token attributes; and

detecting a correlation between the combination of the two or more of the non-fungible token attributes and the one or more product records.

11. The computing system of claim 10 , wherein the one or more product records include product attributes, and wherein the correlation is based on matching between the product attributes and the combination of two or more of the non-fungible token attributes.

12. The computing system of claim 11 , wherein the correlation has an associated correlation metric, and wherein the instructions, when executed, are to cause the processing units to automatically generate the access rule based on determining that the correlation metric exceeds a minimum confidence threshold.

13. A non-transitory, computer-readable medium storing computer-executable instructions that, when executed by one or more processors, are to cause the one or more processors to:

receive a designation of a non-fungible token collection in connection with a merchant account, each non-fungible token in the non-fungible token collection having a respective combination of non-fungible token attributes;

detect an association between one or more product records and a combination of two or more of the non-fungible token attributes;

automatically generate an access rule with regard to the one or more product records, wherein the access rule is conditional on ownership of one of the non-fungible tokens of the non-fungible token collection that has the combination of the two or more of the non-fungible token attributes; and

apply the access rule to provide a user device with access to the one or more product records based on verification of the ownership of the one of the non-fungible tokens by the user device, wherein the verification of the ownership of the one of the non-fungible tokens by the user device includes:

receiving, from the user device, at least an NFT identifier;

querying a blockchain regarding the NFT identifier;

receiving, from the blockchain, non-fungible token data associated with the NFT identifier including ownership data that includes a wallet identifier; and

verifying that the wallet identifier in the ownership data matches a user device wallet identifier.

14. The non-transitory, computer-readable medium of claim 13 , the instructions, when executed, are to cause the processing units to detect the association by:

detecting a newly-minted token in the non-fungible token collection, the newly-minted token having a set of attributes that includes the combination of the two or more of the non-fungible token attributes; and

detecting a correlation between the combination of the two or more of the non-fungible token attributes and the one or more product records.

15. The non-transitory, computer-readable medium of claim 14 , wherein the one or more product records include product attributes, and wherein the correlation is based on matching between the product attributes and the combination of two or more of the non-fungible token attributes.

16. The non-transitory, computer-readable medium of claim 15 , wherein the correlation has an associated correlation metric, and wherein the instructions, when executed, are to cause the processing units to automatically generate the access rule based on determining that the correlation metric exceeds a minimum confidence threshold.

17. The computing system of claim 9 , wherein the instructions, when executed, are to cause the processing units to verify that the wallet identifier in the ownership data matches the user device identifier by validating a cryptographic signature from the user device using the wallet identifier.

18. The computing system of claim 9 , wherein the non-fungible token data further includes the combination of two or more of the non-fungible token attributes.

19. The non-transitory, computer-readable medium of claim 13 , wherein the instructions, when executed, are to cause the processing units to verify that the wallet identifier in the ownership data matches the user device identifier by validating a cryptographic signature from the user device using the wallet identifier.

20. The non-transitory, computer-readable medium of claim 13 , wherein the non-fungible token data further includes the combination of two or more of the non-fungible token attributes.

Assignments (1)

Continuity (4)

References Cited (128)