Architecture Technology Corporation

Drew Sullivan

William Colligan

Evan Eaves

A product obsolescence forecast system includes machine instructions stored in a non-transitory computer readable storage medium, the machine instructions. A processor executes the instructions to receive an identity of a first product and identities of one or more second products similar to the first product, each of the second products having gone obsolete; receive a determinant of obsolescence of one or more of the obsolete second products; generate one or more observations related to the first product by inputting each received determinant to a trained network; and generate a statistical analysis of the one or more observations to provide an expected value of an actual obsolescence date for the first product.

Product obsolescence forecast system and method

A product obsolescence forecast system comprises machine instructions stored in a non-transitory computer readable storage medium. A processor executes the machine instructions to access data items related to a first product and one or more second products designated as similar to the first product, the first product and each of the one or more second products belonging to a same class of products; extract data elements from the data items; reformat the data elements as analyzable data elements and store the analyzable data elements in an analyzable data structure; apply a probabilistic model to selected ones of the analyzable data elements to provide a forecast obsolescence date for the first product; and using the forecast obsolescence date, determine one or more impacts based on the forecast obsolescence date.

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Drew Sullivan