Search Results: demand planning (308)

Jack Hymanson 0
Getting demand in shape

For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine

Leo Sadovy 0
Announcing SAS for ‘Demand Signal Analytics’

From Gartner to IDC to the trade press, the watchwords in the supply chain for rest of this decade appear to be “resiliency” and “responsiveness”. It’s not going to be about promotion-based pull-through, and it’s most definitely not going to be about channel incentive-based push-through.  What it’s going to be

Analytics
Leo Sadovy 0
Strategic workforce planning

I have been privileged to have had the opportunity to contribute to the recently published, “Positioned – Strategic Workforce Planning that gets the Right Person in the Right Job”, co-edited by Rob Tripp, Workforce Planning Manager at Ford Motor Company. The list of contributors is a Who’s Who of strategic

Mike Gilliland 0
Incorporating demand planner knowledge

Can you explain the "random error" in your forecasts? This question was posed two weeks ago by Sam Iosevich, Managing Principal at Prognos, during his presentation  at the INFORMS Conference on Business Analytics and Operations Research. Sam stated that if your planners have knowledge that helps explain the "random error" in

Analytics | Customer Intelligence | Data Visualization | Marketing
Charlie Chase 0
How CDP technologies offer sales and marketing teams powerful insights

In today's environment, data is exceedingly important but also increasingly harder to get and manage. A reliable customer data platform (CDP) can provide significant value to retail and consumer packaged goods (CPG) companies. Customer data platforms are used to consolidate and integrate customer and consumer data into a single data source. CDP

Advanced Analytics | Analytics | Data Management | Data Visualization
Charlie Chase 0
Misnomers regarding outliers and their usefulness in statistical modeling

Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really

Analytics
Mike Gilliland 0
Preview of Foresight (Winter 2021)

Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.

Analytics
Mike Gilliland 0
Forecasting with SAS (free eBook)

Forecasting with SAS®: Special Collection SAS Press has added to its selection of free downloadable eBooks with the new Forecasting with SAS®: Special Collection. From the description: Want to get the most insight out of your data and improve the quality of your forecasts? SAS offers many different solutions to

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