Upstream visibility in supply-chain

Patent metadata

Field	Value
Publication number	US-11734647-B2
Application number	US-202217988158-A
Country	US
Kind code	B2
Filing date	Nov 16, 2022
Priority date	Oct 17, 2019
Publication date	Aug 22, 2023
Grant date	Aug 22, 2023

Abstract

An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

First claim

What is claimed is:

1. A system, comprising:
a processor; and
a memory on which are stored machine readable instructions that when executed by the processor, cause the processor to:
receive an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network;
compute an ordering proportion without decrypting the encrypted inventory of goods data via execution of a fully homomorphic encryption (FHE) algorithm on the encrypted inventory of goods data; and

order goods from the plurality of the supplier nodes via a smart contract based on an order distribution policy related to the ordering proportion that is input to the smart contract.

2. The system of claim 1 , wherein the instructions further cause the processor to receive outstanding orders of goods data from the plurality of the supplier nodes over a blockchain network.

3. The system of claim 2 , wherein the instructions further cause the processor to generate the order distribution policy based on a combination of the ordering proportion and the outstanding orders of goods data.

4. The system of claim 1 , wherein the instructions further cause the processor to determine the ordering proportion via execution of an algorithm on the encrypted inventory of goods data without a decryption of the encrypted inventory of goods data.

5. The system of claim 1 , wherein the instructions further cause the processor to generate an order distribution policy based on the ordering proportion and transform the order distribution policy into a vector that comprises a plurality of order values for the plurality of supplier nodes embedded therein based on a type of the order distribution policy.

6. The system of claim 1 , wherein the instructions further cause the processor to compute the ordering proportion based on a secure multi-party computation.

7. The system of claim 6 , wherein the instructions further cause the processor to record an order of the goods from the plurality of the supplier nodes on the blockchain.

8. A method, comprising:
receiving, by a blockchain peer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network;
computing, by the blockchain peer node, an ordering proportion without decrypting the encrypted inventory of goods data via execution of a fully homomorphic encryption (FHE) algorithm on the encrypted inventory of goods data; and
ordering goods from the plurality of the supplier nodes via the smart contract based on an order distribution policy related to the ordering proportion that is input to the smart contract.

9. The method of claim 8 , further comprising receiving outstanding orders of goods data from the plurality of the supplier nodes over a blockchain network.

10. The method of claim 9 , further comprising generating the order distribution policy based on a combination of the ordering proportion and the outstanding orders of goods data.

11. The method of claim 8 , further comprising determining the ordering proportion via execution of an algorithm on the encrypted inventory of goods data without a decryption of the encrypted inventory of goods data.

12. The method of claim 8 , further comprising generating an order distribution policy based on the ordering proportion and transforming the order distribution policy into a vector that comprises a plurality of order values for the plurality of supplier nodes embedded therein based on a type of the order distribution policy.

13. The method of claim 8 , further comprising computing the ordering proportion based on a secure multi-party computation.

14. The method of claim 8 , further comprising recording an order of the goods from the plurality of the supplier nodes on the blockchain.

15. A non-transitory computer readable medium comprising instructions, that when read by a processor, cause the processor to perform:
receiving an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network;
computing an ordering proportion without decrypting the encrypted inventory of goods data via execution of a fully homomorphic encryption (FHE) algorithm on the encrypted inventory of goods data; and
ordering goods from the plurality of the supplier nodes via the smart contract based on an order distribution policy related to the ordering proportion that is input to the smart contract.

16. The non-transitory computer readable medium of claim 15 , further comprising instructions, that when read by the processor, cause the processor to receive outstanding orders of goods data from the plurality of the supplier nodes over a blockchain network.

17. The non-transitory computer readable medium of claim 16 , further comprising instructions, that when read by the processor, cause the processor to generate the order distribution policy based on a combination of the ordering proportion and the outstanding orders of goods data.

18. The non-transitory computer readable medium of claim 15 , further comprising instructions, that when read by the processor, cause the processor to determine the ordering proportion via execution of an algorithm on the encrypted inventory of goods data without a decryption of the encrypted inventory of goods data.

19. The non-transitory computer readable medium of claim 15 , further comprising instructions, that when read by the processor, cause the processor to compute the ordering proportion based on a secure multi-party computation.

20. The non-transitory computer readable medium of claim 15 , further comprising instructions, that when read by the processor, cause the processor to record an order of the goods from the plurality of the supplier nodes on the blockchain.

21. A system, comprising:
a processor; and
a memory on which are stored machine readable instructions that when executed by the processor, cause the processor to:
receive an encrypted inventory of goods data from a plurality of second nodes over a blockchain network;
compute an ordering proportion without decrypting the encrypted inventory of goods data via execution of a fully homomorphic encryption (FHE) algorithm on the encrypted inventory of goods data; and
ordering goods from the plurality of the second nodes via the smart contract based on an order distribution policy related to the ordering proportion that is input to the smart contract.

22. The system of claim 21 , wherein the instructions further cause the processor to receive outstanding orders of goods data from the plurality of the second nodes over a blockchain network.

23. The system of claim 22 , wherein the instructions further cause the processor to generate the order distribution policy based on a combination of the ordering proportion and the outstanding orders of goods data.

24. A method, comprising:
receiving, by a first node, an encrypted inventory of goods data from a plurality of second nodes over a blockchain network;
computing, by the first node, an ordering proportion without decrypting the encrypted inventory of goods data via execution of a fully homomorphic encryption (FHE) algorithm on the encrypted inventory of goods data;
generating, by the first node, an order distribution policy based on the ordering proportion and transforming the order distribution policy into a vector that comprises a plurality of order values for the plurality of supplier nodes embedded therein based on a type of the order distribution policy; and
ordering goods from the plural

Assignees

• IBM

Inventors

• Paulson Elisabeth Claire
• Jagmohan Ashish
• Deshpande Ajay Ashok
• Harsha Pavithra
• Koc Ali
• Ratakonda Krishna Chaitanya
• Gopinath Ramesh

Classifications

• G06Q10/087 Primary

  Inventory or stock management, e.g. order filling, procurement or balancing against orders · CPC title

• G06Q10/0833 Primary

  Tracking · CPC title

• G06Q10/0838

  Historical data · CPC title

• H04L9/32

  including means for verifying the identity or authority of a user of the system {or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials} · CPC title

• H04L9/3239

  involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD · CPC title