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    • 9. 发明授权
    • ESG supply chain forecasting
    • US11488075B1
    • 2022-11-01
    • US17301749
    • 2021-04-13
    • S&P Global Inc.
    • Nadia Farooq
    • G06Q10/04G06Q50/26G06Q10/08
    • A method of forecasting raw material demand is provided. The method comprises retrieving news articles related to raw material suppliers as well as raw material industry articles related to specified raw materials. The news articles are classified as either ESG articles or non-ESG articles. The news articles and raw material industry articles are vectorized, and a subset of relevant articles are selected from the non-ESG articles. The ESG articles, relevant non-ESG articles, and raw material industry articles are fed into a sentiment scoring model, which generates sentiment scores for the raw material suppliers as well as sentiment scores for the raw materials. The sentiment scores are fed into an ESG forecast model along with supply chain data related to the raw materials and ESG data related to the raw material suppliers. The ESG forecast model then forecasts demand for the raw material suppliers to supply the raw materials.