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Category archives: AIMMS

Internet of Things (IOT), Cost-to-Serve, Segmentation and Supply Chain CoEs are unable to deliver promised business value without Prescriptive Analytics

Posted on November 08, 2016 by Leave a reply

business-idea-831053_1280Gartner’s Hype Cycle for CSCOs is a valuable read for current and potential Supply Chain leaders. It brings together a long list of trends, enabling technologies, business frameworks and competencies that should be in your consideration set. The big theme of course, is the digitization of the supply chain and the implications it will have on business performance. What seems very clear is that if you’re not planning to jump aboard this train very quickly, you’re going to have what will appear to be a stone-age supply chain within 5-10 years.

As a Gartner recognized Prescriptive Analytics software company, we’re most interested in all things digital that have analytical flavor by nature. We see our clients deliver strong value from digital innovation, but only when organizations have the knowledge and technology to do things differently. This requires Prescriptive Analytics, a type of advanced analytics that results in a recommended ACTION.

In other words, for digital transformation to succeed, organizations need to be able to “take action” based on their data. Let’s take a look at some of the competencies mentioned in Gartner’s report so I can provide evidence to back up this outrageous statement.

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This entry was posted in AIMMS, analytics, Prescriptive Analytics, Segmentation, Supply chain optimization on by .

Supply Chain Segmentation (SCS) – Can it make a difference?

Posted on January 27, 2015 by Leave a reply

This post was written by Dr. Gerhard Plenert, author of Supply Chain Optimization through Segmentation and Analytics.


Segmentation CoverWe tend to get ourselves locked into a one-size-fits-all solution mentality. We solve a problem and because a particular solution worked for us we automatically replicate that solution by attempting to apply it to every problem we encounter. We talk a lot about “out of the box” thinking, but we feel more secure by staying inside our solution box.

The one-size-fits-all dilemma also applies to solving Supply Chain problems. For example, if a particular planning solution works effectively for one product line or customer or supplier, then it must also be the best solution for all product lines. And we apply this solution across the board. Then we stand back and wonder why it didn’t work when we knew for sure that it had worked well in the past.

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This entry was posted in analytics, Segmentation, Supply chain optimization on by .
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