System for simulating and creating smart purchase agreements from master service agreements

Patent metadata

Field	Value
Publication number	US-11748762-B2
Application number	US-202016904488-A
Country	US
Kind code	B2
Filing date	Jun 17, 2020
Priority date	Jun 17, 2020
Publication date	Sep 5, 2023
Grant date	Sep 5, 2023

Abstract

A computer-implemented method, comprising receiving one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information; performing a simulation and receiving user input to interactively adjust the smart contract information and implement a smart purchase agreement (SPA) in blockchain and in a state engine; and automatically generating a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time, and for the case of a conflict, a conflict warning is provided.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
receiving one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information;
training machine learning using historic user input;
performing a simulation and receiving user input to interactively adjust the smart contract information using the machine learning and implement a smart purchase agreement (SPA) in blockchain and in a state engine, wherein the user input comprises at least one verbal query, the at least one verbal query is converted into a function and function parameters through the machine learning for performance of the simulation;
automatically generating a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time to ensure compliance with the MSA, and for a case of a conflict, a conflict warning is provided.

2. The computer-implemented method of claim 1 , wherein the receiving the one or more inputs comprises inputting the MSA information into an ingest service, and the generating the output comprises extracting the MSA to generate contract terms and definitions and unstructured clauses, matching each of the unstructured clauses for extraction of parameters and generation of pre-processed terms and conditions that comprises the smart contract information.

3. The computer-implemented method of claim 1 , wherein a simulation and creation engine receives the smart contract information, performs simulation based on one or more rules, and obtains user input interactively, to generate and revise the SPA.

4. The computer-implemented method of claim 3 , wherein the obtaining the user input interactively comprises interacting with an application or web browser based interface.

5. The computer-implemented method of claim 3 , wherein the obtaining the user input interactively comprises applying natural language processing to receive and transmit chat information, where in the received chat information is applied to the simulation to automatically generate a response to the user that includes a revised SPA.

6. The computer-implemented method of claim 1 , further comprising:
receiving information associated with an exception condition;
applying the information associated with the exception condition to the SPA to generate the simulation;
in response to a request, generating a modification to the SPA or the SPO in accordance with the exception condition; and
applying the modification to the SPA or the SPO to the simulation to generate a revised simulation, and generating an exception recommendation based on the revised simulation.

7. The computer-implemented method of claim 1 , wherein the SPO is generated based on a set of rules and parameters associated with contract positions of a party to the MSA, and for a conflict between the SPA and the set of rules and parameters, a suggestion of a revision to the SPA is generated.

8. A non-transitory computer readable medium including instructions executable on a processor, the instructions comprising:
receiving one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information;
training machine learning using historic user input;
performing a simulation and receiving user input to interactively adjust the smart contract information using the machine learning and implement a smart purchase agreement (SPA) in blockchain and in a state engine, wherein the user input comprises at least one verbal query, the at least one verbal query is converted into a function and function parameters through the machine learning for performance of the simulation;
automatically generating a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time to ensure compliance with the MSA, and for a case of a conflict, a conflict warning is provided.

9. The non-transitory computer readable medium of claim 8 , wherein the receiving the one or more inputs comprises inputting the MSA information into an ingest service, and the generating the output comprises extracting the MSA to generate contract terms and definitions and unstructured clauses, matching each of the unstructured clauses for extraction of parameters and generation of pre-processed terms and conditions that comprises the smart contract information.

10. The non-transitory computer readable medium of claim 8 wherein a simulation and creation engine receives the smart contract information, performs simulation based on one or more rules, and obtains user input interactively, to generate and revise the SPA.

11. The non-transitory computer readable medium of claim 10 , wherein the obtaining the user input interactively comprises interacting with an application or web browser based interface.

12. The non-transitory computer readable medium of claim 10 , wherein the obtaining the user input interactively comprises applying natural language processing to receive and transmit chat information, where in the received chat information is applied to the simulation to automatically generate a response to the user that includes a revised SPA.

13. The non-transitory computer readable medium of claim 8 , further comprising:
receiving information associated with an exception condition;
applying the information associated with the exception condition to the SPA to generate the simulation;
in response to a request, generating a modification to the SPA or the SPO in accordance with the exception condition; and
applying the modification to the SPA or the SPO to the simulation to generate a revised simulation, and generating an exception recommendation based on the revised simulation.

14. The non-transitory computer readable medium of claim 8 , wherein the SPO is generated based on a set of rules and parameters associated with contract positions of a party to the MSA, and for a conflict between the SPA and the set of rules and parameters, a suggestion of a revision to the SPA is generated.

15. A system, comprising:
a processor configured to receive one or more inputs associated with a master services agreement (MSA), and generating an output that includes smart contract information;
the processor is configured to train machine learning using historic user input;
the processor is configured to perform a simulation and receiving user input to interactively adjust the smart contract information using the machine learning and implement a smart purchase agreement (SPA) in blockchain and in a state engine, wherein the user input comprises at least one verbal query, the at least one verbal query is converted into a function and function parameters through the machine learning for performance of the simulation;
the processor is configured to automatically generate a smart purchase order (SPO) under the MSA, wherein the SPO is automatically validated for a conflict against the MSA in real-time to ensure compliance with the MSA, and for a case of a conflict, a conflict warning is provided.

16. The system of claim 15 , wherein the receive the one or more inputs comprises inputting the MSA information into an ingest service, and the generating the output comprises extracting the MSA to generate contract terms and definitions and unstructured clauses, matching each of the unstructured clauses for extraction of parameters and generation of pre-processed terms and conditions that comprises the smart contract information.

17. The system of claim 15 , wherein a simulation and creation

Assignees

• Fujifilm Business Innovation Corp

Inventors

• Cebertowicz Steven
• Hilbert David M
• Sankarapandian Kandha
• Sriram Ram
• Bhatt Chidansh Amitkumar
• Carter Scott
• Denoue Laurent
• Shamma David Ayman
• Onishi Shinji

Classifications

• G06Q10/0875 Primary

  Itemisation or classification of parts, supplies or services, e.g. bill of materials · CPC title

• G06Q30/01 Primary

  Customer relationship services · CPC title

• G06F16/27

  Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor · CPC title

• G06F40/40

  Processing or translation of natural language (natural language analysis G06F40/20; semantic analysis G06F40/30) · CPC title

• G06N5/04

  Inference or reasoning models · CPC title