How To Forecast After Covid-19

Sponsored by Arkieva, your One-Plan S&OP software. Find out about Arkieva's approach to demand planning: https://bit.ly/3hCcw62Benchmark your company's S&OP maturity with IBF's free-to-use S&OP maturity model. Get recommendations to improve specific areas of your process and progress to the next stage in your S&OP evolution. Try it now: https://bit.ly/33BiLSE02:22 Contribute an article to the Journal of Business forecasting. Email the editor at [email protected] for more information.03:47: How do you forecast after Covid-19 when forecast data is no longer relevant?05:10 What is an outlier? 08:30 How companies are approaching Covid data/outliers.08:50 Smoothing historical data .12:04 Pruning historical data.13:35 Replacing historical data for the Covid period.16:17 Understand and improve methods and process.22:59 Be careful with your assumptions.24:20 Manual overrides with qualitative judgement/emerging information.27:48 Predictive analytics to look more types of data.Support the showTo sign up for regular updates and the latest research, events, articles, podcasts and more from the Institute of Business Forecasting & Training, visit www.ibf.org

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The forecasting, demand planning and S&OP podcast designed for practitioners in the field. Brought to you by the Institute of Business Forecasting with your host Eric Wilson, ACPF.