{"input_url":"https://www.scmr.com/article/reimagining-demand-forecasting-at-bayer-with-ai-and-machine-learning","gnews_decode":"https://www.scmr.com/article/reimagining-demand-forecasting-at-bayer-with-ai-and-machine-learning","http_status":200,"final_url":"https://www.scmr.com/article/reimagining-demand-forecasting-at-bayer-with-ai-and-machine-learning","html_length":89383,"trafilatura_result":"ok","text_length":1311,"text_preview":"DATE: Thursday, October 22, 2026\nTIME: 2:00 PM EDT/ 11:00 AM PDT\nDemand forecasting often relies on planner judgment, manual intervention and fragmented data. Bayer and ZS are reimagining that model through data science-led, exception-based forecasting that expands no-touch planning and focuses plan","verdict":"OK"}