Charlie Chase

6月 192018
 

We have entered the “second machine age.” The first machine age began with the industrial revolution, which was driven primarily by technology innovation. The ability to generate massive amounts of mechanical power made humans more productive. Where the steam engine started the industrial revolution, the second machine age has taken [...]

Will artificial intelligence replace humans? was published on SAS Voices by Charlie Chase

4月 172018
 

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. The impressive advances in artificial intelligence (AI) and machine learning  [...]

How machine learning is disrupting demand planning was published on SAS Voices by Charlie Chase

2月 272018
 

“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 [...]

Is quick response forecasting a reality or just another buzzword? was published on SAS Voices by Charlie Chase

1月 172018
 

Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Over the holidays, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company, [...]

Why do we rely on judgment when analytics outperforms it? was published on SAS Voices by Charlie Chase

1月 172018
 

Wherever there is uncertainty there has got to be judgment, and wherever there is judgment there is an opportunity for human fallibility. Donald Redelmeirer, physician-researcher Over the holidays, I read a fascinating book titled The Undoing Project: A Friendship That Changed Our Mind by Michael Lewis (W.W. Norton & Company, [...]

Why do we rely on judgment when analytics outperforms it? was published on SAS Voices by Charlie Chase

9月 272017
 

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 [...]

Is demand sensing and shaping a key component of your company’s digital supply chain transformation? was published on SAS Voices by Charlie Chase

8月 172017
 

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, [...]

At the end of the day, it’s all about analytics-driven forecasting was published on SAS Voices by Charlie Chase

6月 272017
 

Let me start by posing a question: "Are you forecasting at the edge to anticipate what consumers want or need before they know it?"  Not just forecasting based on past demand behavior, but using real-time information as it is streaming in from connected devices on the Internet of Things (IoT). [...]

Forecasting at the edge for real-time demand execution was published on SAS Voices by Charlie Chase

5月 182017
 

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 [...]

Straight talk about forecasting and machine learning was published on SAS Voices by Charlie Chase

3月 152017
 

Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience.  Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time.     Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are [...]

Omnichannel is changing the way we view demand planning was published on SAS Voices by Charlie Chase