SAS Voices

Advanced Analytics | Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseOctober 19, 2020 0

Is short-term demand sensing a key component of your digital supply chain transformation?

Depending on who you talk to, you'll get varying definitions and opinions regarding demand sensing. Anything from sensing short-range replenishment based on sales orders, to the manual blending of point-of-sales (POS) data and shipments. But a key component for retailers and CPG companies is accurately forecasting short-term consumer demand to

English

AgTech | Manufacturing | Retail

Analytics

Brittany BullardMay 4, 2020 0

Retail forecasting through a pandemic

[Jessica Curtis and Adam Hillman, both Forecasting Advisors at SAS, were co-authors of this post] The world has been dramatically impacted by the recent COVID-19 pandemic. Many of us are juggling a completely new lifestyle that was forced upon us overnight. As consumers find their way to a new normal,

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Retail

Advanced Analytics | Analytics | Artificial Intelligence

Charlie ChaseFebruary 26, 2020 0

Are you suffering from demand planner spreadsheet overload?

Is it getting harder and harder to find empty Excel spreadsheets cells, as you run out of columns and rows? Do your spreadsheet cell labels have more letters than the license plate on your car? Do you find yourself waking up in the middle of the night in cold

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Government | Manufacturing | Retail

Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseApril 2, 2019 0

Is machine learning practical for statistical forecasting?

There's been a lot of hype regarding using machine learning (ML) for demand forecasting, and rightfully so, given the advancements in data collection, storage, and processing along with improvements in technology. There's no reason why machine learning can't be utilized as another forecasting method among the collection of forecasting methods

English

Manufacturing | Retail

Analytics

David PopeAugust 13, 2018 0

6 real-world ways to use optimization and forecasting in the oil and gas industry

In the oil industry you can make or lose money based on how good your forecasts are, so I’ve pulled together six papers that discuss different ways in which you can leverage analytics to optimize your output and more accurately predict your production performance. Written by employees at oil and

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Energy & Utilities

Advanced Analytics | Artificial Intelligence | Machine Learning

Charlie ChaseApril 17, 2018 0

How machine learning is disrupting demand planning

If you think machine learning will replace demand planners, then don’t read this post. If you think machine learning will automate and unleash the power of insights allowing demand planners to drive more value and growth, then this article is a must read.

English

Manufacturing | Retail

Internet of Things | Machine Learning

Charlie ChaseFebruary 26, 2018 0

Is quick response forecasting a reality or just another buzzword?

“Quick response forecasting (QRF) techniques are forecasting processes that can incorporate information quickly enough to act upon by agile supply chains” explained Dr. Larry Lapide, in a recent Journal of Business Forecasting column. The concept of QRF is based on updating demand forecasts to reflect real and rapid changes in demand, both

English

Advanced Analytics | Machine Learning

Charlie ChaseSeptember 27, 2017 3

Is demand sensing and shaping a key component of your company’s digital supply chain transformation?

Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments. Most companies think that they are sensing demand when in fact they are

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Manufacturing | Retail

Advanced Analytics | Analytics | Data Management | Machine Learning

Charlie ChaseAugust 16, 2017 4

At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

English

Manufacturing | Retail

Advanced Analytics | Analytics | Machine Learning

Charlie ChaseMay 18, 2017 0

Straight talk about forecasting and machine learning

Are you caught up in the machine learning forecasting frenzy? Is it reality or more hype? There's been a lot of hype about using machine learning for forecasting. And rightfully so, given the advancements in data collection, storage, and processing along with technology improvements, such as super computers and more powerful

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Manufacturing | Retail

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