–Forecasting

7月 162020
 

Ever heard of a Turducken? It's a chicken stuffed inside a duck that's stuffed inside a turkey along with layers of stuffing (which I just learned is referred to as a three-bird roast outside the US and Canada; there's also an English variant known as a gooducken, where the turkey [...]

Utilities, forget the Duck Curve, and get ready for the Turducken Curve was published on SAS Voices by David Pope

6月 112020
 

Rapid demand response forecasting techniques are forecasting processes that can incorporate key information quickly enough to act upon in real time by agile supply chains.   Retailers and consumer goods suppliers are urgently trying to determine how changes in consumer behavior will affect their regions, channels, categories, brands and products during [...]

Rapid demand response forecasting helps retailers adapt during COVID-19 was published on SAS Voices by Charlie Chase

7月 242019
 

How do you explain flat-line forecasts to senior management? Or, do you just make manual overrides to adjust the forecast?    When there is no detectable trend or seasonality associated with your demand history, or something has disrupted the trend and/or seasonality, simple time series methods (i.e. naïve and simple [...]

How do I explain a flat-line forecast to senior management? was published on SAS Voices by Charlie Chase

4月 022019
 

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 [...]

Is machine learning practical for statistical forecasting? was published on SAS Voices by Charlie Chase

2月 192019
 

When it comes to forecasting new product launches, executives say that it's a frustrating, almost futile, effort. The reason? Minimal data, limited analytic capabilities and a general uncertainty surrounding a new product launch. Not to mention the ever-changing marketplace. Nevertheless, companies cannot disregard the need for a new product forecast [...]

Practical approaches to new product forecasting using structured and unstructured data was published on SAS Voices by Charlie Chase

2月 192019
 

When it comes to forecasting new product launches, executives say that it's a frustrating, almost futile, effort. The reason? Minimal data, limited analytic capabilities and a general uncertainty surrounding a new product launch. Not to mention the ever-changing marketplace. Nevertheless, companies cannot disregard the need for a new product forecast [...]

Practical approaches to new product forecasting using structured and unstructured data was published on SAS Voices by Charlie Chase

2月 132019
 

This Is the third and final installment of a series of posts discussing promising use cases in retail and the benefits of adopting IoT technologies in 2019. What will be the ground-breaking new application of IoT and analytics that drives an epiphany and spurs widespread adoption? In previous posts, I discussed [...]

Can IoT reduce energy costs for retailers? was published on SAS Voices by Greg Heidrick

8月 132018
 

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 [...]

6 real-world ways to use optimization and forecasting in the oil and gas industry was published on SAS Voices by David Pope

6月 292018
 

As a resident of Northern California, I was interested in learning more about the causes of wildfires. My area has recently experienced large fires that caused many residents to evacuate their homes and some who have even lost their lives. Last October there were more than 170 fires that burned [...]

Blazing statistics: visualizing wildfire data was published on SAS Voices by Melanie Carey

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