International Business Machines Corporation

Yedendra Shrinivasan

Krishna Chaitanya Ratakonda

Vijay Ekambaram

Rak-Joon Choi

Nitendra Rajput

Krishnasuri Narayanam

Ramasuri Narayanam

Seep Goel

Abhishek Singh

Vishnu Choudhary

Pankaj Satyanarayan Dayama

Rakesh Mohan

Parameswaran Selvam

Mari M Wade

Teja Chiranjeevi Tummalapalli

Atallah Hezbor

Nitin Kumar Gupta

Satyanarayana Venkata Nitta

Ravindranath Kokku

Ramesh Ambat Gopinath

Pratyush Kumar

Akshar Kaul

Ashish Mittal

Ruhi Sharma Mittal

Rachel Katherine Emma Bellamy

Sathish R Indurthi

Mitesh H Vasa

Mitesh Khapra

Andrew Douglas Nelson

An example operation may include one or more of receiving, by a document processor node, a document and a signed digital receipt identifying an owner of a version of the document associated with a blockchain transaction, verifying, by a document processor node, the version of the document based on the signed digital receipt, and executing a smart contract to enable a conflict-free document versioning based on a hash of the document recorded on a ledger of the blockchain.

Conflict-free version control

An example operation may include one or more of detecting, by a blockchain (BC) node, a contract update on a blockchain, determining, by the BC node, at least one charge affected by the contract update, executing, by the BC node, a smart contract to re-generate an invoice based on the at least one charge, and recording the invoice on a ledger of the blockchain.

Dynamic updates of decentralized invoices

An example operation may include one or more of receiving, by a file processing node, a document file identification (ID) from a file owner node over a blockchain, acquiring, by the file processing node, a file storage plan executable script and an encrypted symmetric key for the document, decrypting the symmetric key by the file processing node, and executing the file storage plan executable script using the decrypted symmetric key as an input.

Preservation of privacy in large datasets

An example operation may include one or more of querying, via an application programming interface (API), a blockchain ledger for attributes of a shipment by a carrier from an origin location to a destination location, predicting, via an artificial intelligence (AI) model, one or more future events that will occur during the shipment based on the attributes of the shipment retrieved from querying the blockchain ledger, generating, via a smart contract, an accelerated e-invoice based on the one or more future events predicted by the AI model, and storing the accelerated e-invoice on the blockchain ledger.

Accelerated invoicing using predictive freight events

An example operation may include one or more of determining, by a document server node, a version of a source document received from a user node, assigning, by the document server node, an identifier (ID) corresponding to the version of the source document, forming, by the document server node, a source document token comprising a hash of the source document, the version of the source document and the ID, and executing, by the document server node, a transaction to record the source document token on a blockchain.

Document storage and verification

An example operation may include one or more of monitoring, by a blockchain node, a delivery of a service to a first node from a second node based on a service contract and an order retrieved from a blockchain, determining, by the blockchain node, an incremental charge for a partial delivery of the service based on the monitoring, and executing, by the blockchain node, a smart contract to issue the incremental charge for the partial delivery of the service, and responsive to a resolution of a dispute raised for the incremental charge, add the incremental charge to an incremental invoice.

Optimization of trusted invoicing

An example operation may include one or more of detecting, by a promotion processor node, a delivery of a trade promotion token by a retailer node on a blockchain, and executing, by the promotion processor node, a smart contract to: apply the trade promotion token to a purchase item and transfer incentive assets based on the trade promotion token to the retailer node and to a corresponding manufacturer node.

Product exploration-based promotion

An example operation may include one or more of receiving from a user node, by a blockchain processor node, a document access request containing a document ID, acquiring, by the blockchain processor node, from a blockchain ledger an encrypted URL of the document and a source hash of the document based on the document ID, verifying, by the blockchain processor node, a document received from a document owner's node storage based on a decrypted URL of the document and, in response to the verification, transmitting the document received from the document owner's node storage to the user node.

An example operation may include one or more of receiving a request to verify a first encrypted document from a computing device, retrieving a second set of encrypted tokens of a second encrypted document from a blockchain, determining a similarity value of the first encrypted document with respect to the second encrypted document based on a first set of encrypted tokens in the first encrypted document and the second set of encrypted tokens in the second encrypted document, and outputting the determined similarity value to the computing device in response to the request.

Plagiarism detection from encrypted documents

An example operation may include one or more of marking a document, by a user node, to be included into a collection of documents, determining, by the user node, a business process step associated with the document based on a user mark, and executing a transaction to store a hash of the document onto a ledger of a blockchain, wherein a Merkle tree hash is generated and tagged on the ledger with details of the business process step.

Document verification

An example operation may include one or more of acquiring, by a promotion processor node, consumer exploration of a product data from a blockchain, determining, by the promotion processor node, features of the product, receiving, by the promotion processor node, a promotion plan from at least one product retailer node, and executing a smart contract to generate a plurality of promotion tokens based on the features of the product and the promotion plan.

An example operation may include one or more of receive a document identifier (ID), retrieve a document from a storage based on the ID, generate a hash of the document, and compare the hash of the document under the ID against a hash of the document stored on the blockchain for verification.

An example operation may include one or more of setting, by a first node, a cut-off time for a resolution of an update to a service contract received from at least one node of a plurality of second nodes over a blockchain, acquiring, by the first node, resolution parameters from a blockchain ledger, and executing a smart contract to resolve the service contract based on the update to the service contract and the resolution parameters.

Automated conflict resolution

An example operation may include one or more of receiving, by a document processor node, a document comprising a document identifier (ID) and a document type, generating, by the document processor node, at least one hashed attribute for sharing of the document based on the document ID and the document type, acquiring, by the document processor node, a list of documents and corresponding document owners to be linked to the document based on the at least one hashed attribute, and creating a plurality of linked documents based on the list of the documents.

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Yorktown Heights, NY, United States of America

Yedendra Shrinivasan