Laura Anne Ellis

US Patent:

20190213629, Jul 11, 2019

Filed:

Jan 9, 2018

Appl. No.:

15/865735

Inventors:

- ARMONK NY, US
Bo Zhang - Cary NC, US
Chul Sung - Austin TX, US
Laura G. Ellis - Austin TX, US
Janhavi Das - Austin TX, US
Blake McGregor - Foster City CA, US
Adam M. Gunther - Raleigh NC, US

International Classification:

G06Q 30/02

Abstract:

An approach is provided for determining a product value score. Features of a product are identified. Ranking data for each identified feature is collected. The ranking data includes popularity, stability, availability, and memory usage of each feature. Additional data for each feature are determined. The additional data includes an importance, a conversion rate, and a marketing impact of each feature. Based on the ranking data and the additional data, normalized data is generated according to characteristics of the features. Based on a data science prediction analysis which uses the identified features, weights of the features are determined. Based on initial results of the data science prediction analysis, a key product is selected from a set of products. Based on the key product and the weights, product value scores of products in the set of products are determined.