Patent · US Active

Machine-learning-driven supply chain out-of-stock inventory resolution and contract negotiation

US12379729B2 · kind B2 · utility

0Cited by
72References
24Claims
0Family size

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Key dates

Filing dateNov 30, 2023
Grant dateAug 5, 2025
Priority date
Expiry dateNov 30, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q2220/00
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A VCN process may receive, by a computing device, information associated with a set of value chain network entities of a value chain network, the information generated by at least one of: a set of sensors of the set of value chain network entities, a set of IoT devices configured to collect data relating to the set of value chain network entities, or a set of APIs configured to publish data relating to the set of value chain network entities. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models. A VCN process may determine a procurement action to be taken in the value chain network based upon, at least in part, an output of the set of AI-based learning models. A VCN process may execute the procurement action.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.