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Patent application title: DIGITAL TWIN FOR CONTROL TOWER AND ENTERPRISE MANAGEMENT PLATFORM MANAGING PACKAGING DESIGN

Inventors:
IPC8 Class: AG06Q1008FI
USPC Class:
Class name:
Publication date: 2022-02-17
Patent application number: 20220051184



Abstract:

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

Claims:

1. A value chain system that designs packaging comprising: a machine learning system that trains a machine-learned model that outputs a packaging design recommendation given a respective set of input features relating to a specific respective packaging design, wherein the machine learning system trains the machine-learned model based on training data sets that define features of packaging designs and outcomes of the packaging designs; an artificial intelligence system that receives a request for packaging design and determines a packaging design recommendation based on the machine-learned model and the request; and a digital twin system that generates a package digital twin of a package that incorporates the packaging design recommendation, wherein the digital twin system: executes a packaging simulation based on the package digital twin; issues a packaging design request from the artificial intelligence system based on a state of the logistics simulation; and adjusts the state of the logistics simulation based on the packaging design recommendation output by the artificial intelligence system in response to the packaging design request.

2. The value chain system of claim 1, wherein the digital twin system outputs a graphical representation of the package digital twin to a display, whereby a user views the simulation via the display.

3. The value chain system of claim 1, wherein the digital twin system outputs a graphical representation of the package digital twin in a graphical user interface, whereby a user edits the packaging design via the graphical user interface.

4. The value chain system of claim 1, wherein the digital twin system outputs a simulation outcome of the simulation to the machine learning system, and the machine learning system reinforces the machine-learned model used to determine the packaging design recommendation based on the simulation outcome.

5. The value chain system of claim 1, wherein the artificial intelligence system receives the request from a packaging design system that designs packaging for physical objects, wherein the request includes one or more packaging factors corresponding to a proposed packaging design for the physical objects.

6. The value chain system of claim 5, wherein the packaging factors include one or more of: a type of the physical objects, dimensions of the physical objects, masses of the physical objects, and shipping methods of the physical objects.

7. The value chain system of claim 1, wherein the packaging design system provides outcome data relating to the packaging design recommendation to the machine learning system, and the machine learning system reinforces the machine-learned model that are used to determine the packaging design recommendation based on the outcome data.

8. The value chain system of claim 1, wherein the artificial intelligence system determines the packaging design recommendation to minimize damage.

9. The value chain system of claim 1, wherein the artificial intelligence system determines the packaging design recommendation to minimize costs.

10. The value chain system of claim 1, wherein the artificial intelligence system determines the packaging design recommendation to mitigate environmental impact.

Description:





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