Proto Labs, Inc.
METHODS AND SYSTEMS FOR PREDICTING A PRICE OF ANY SUBTRACTIVELY MANUFACTURED PART UTILIZING ARTIFICIAL INTELLIGENCE AT A COMPUTING DEVICE

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Abstract:

A method for predicting a price of any subtractively manufactured part utilizing artificial intelligence at a computing device. The method comprises receiving a manufacturing request datum, wherein the manufacturing request datum further comprises at least an element of user mechanical part data, selecting a correlated dataset containing a plurality of data entries. The method further comprises generating, at a clustering unsupervised machine-learning model, at least a first correlated compatible part element, receiving, at a supervised machine-learning model, a first training set, generating, at a supervised machine-learning model as a function of the first training set, an external price output, and determining a price ratio output, wherein determining the price ratio output further comprises generating a loss function of a part specific variable and minimizing the loss function.

Status:
Application
Type:

Utility

Filling date:

6 Dec 2019

Issue date:

10 Jun 2021