Abstract: The present invention relates to systems and methods for ingesting of raw client data into a supply chain optimization system. The client enterprise data system (EDS) provides raw data, typically in tabular format across many files, to a data management module of the optimization system. This data is then profiled. and a set of mapping AI models is applied to the profiled data. Each of the plurality of mapping AI models corresponds to a single input feature of the optimization model. As the mapping models are applied, a live preview is generated. This live preview is reviewable by a human operator, and human input can be provided. When there is input, the individual mapping model is updated (without impacting the other mapping models), and a new live preview for that given feature is generated. The resulting standardized feature set may be consumed by the supply chain optimization model.
Type:
Grant
Filed:
September 20, 2023
Date of Patent:
March 3, 2026
Assignee:
OII, INC.
Inventors:
David Michael Evans, Robert Derward Rogers, Vishnuvyas Sethumadhavan, Mehran Najafi
Abstract: The present invention relates to systems and methods for intelligently optimizing supply chain is provided. In particular, the systems and methods provide the capability to configure supply chain systems so as to: balance between cost and service is optimised and profitability maximised; configure system parameters to respond to both current and future risks; ensure that variability is built into plans enabling maximised efficiency; and human error and bias are eliminated from the planning process such that pro-active rather than reactive behaviour becomes the norm.
Type:
Grant
Filed:
November 23, 2020
Date of Patent:
July 8, 2025
Assignee:
Oii, Inc.
Inventors:
David Michael Evans, Robert Derward Rogers
Abstract: The present invention relates to systems and methods for intelligently optimizing supply chain is provided. In particular, the systems and methods provide the capability to configure supply chain systems so as to: balance between cost and service is optimised and profitability maximised; configure system parameters to respond to both current and future risks; ensure that variability is built into plans enabling maximised efficiency; and human error and bias are eliminated from the planning process such that pro-active rather than reactive behaviour becomes the norm.
Type:
Grant
Filed:
April 12, 2022
Date of Patent:
November 19, 2024
Assignee:
Oii, Inc.
Inventors:
David Michael Evans, Robert Derward Rogers