In the January-March 2018 issue of APICS magazine, APICS CEO Abe Eshkenazi contends that if supply chain leaders bring business success then that makes them business leaders. Mr. Eshkenazi goes on to state “organizations that consider their supply chains as strategic and competitive assets outperform the market”.

Indeed, superior supply chain performance does drive business success in very measurable ways.  How can supply chain justify and measure process improvement initiatives using a metric that finance can relate to?  As cash management is a top priority for finance, sharing the Cash Conversion Cycle (CCC) metric allows supply chain and finance to speak a common language when measuring business success.

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I just read a blog post entitled How do you feel when someone mentions predictive analytics? Well, I feel like it’s a good thing. How about you?

One commenter replied that predictive analytics = forecasting and that it’s just a different label for the same thing. Well, true enough, given that the verb predict is synonymous with the verb forecast.

I submit to you two other synonyms: examine and analyze. An analysis of your historical demand will lead to a better understanding of the numbers. When one understands the elements that drove demand in the past then one can review these elements and assess their validity going forward. The result is a forecast achieved using both quantitative and qualitative methods. This is a very good thing!

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There has been a lot of focus on optimizing the supply chain for order fulfillment.  The on-going efforts to perfect the ‘order to cash’ process have yielded great rewards.  But what about returns?  Automation has reduced the number of returns due to errors however the world must move from a linear to a more circular economy and this will impact the entire supply chain.

The notion of a circular economy is really quite wonderful.  Imagine an industry that produces no waste or pollution, and where products are designed for safe and non-intrusive disposal.  Imagine an industry where 100% of unconsumed or partly consumed products are returned for re-use.

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There is a famous anecdote about Volvo car dealers heavily discounting green models because consumers preferred other colors. Volvo’s manufacturing plant, seeing the resulting spike in demand for green models, perceived it as consumer interest and upped the production. That’s right…even more green cars! Ouch!!

It’s a sad story that’s often repeated, and a story that begins with a demand-shaping strategy to offload unwanted inventory. It’s a prime example of how a dealer’s {read distributor’s} behavior can create confusion and lead to unnecessary increases in a manufacturer’s inventory holdings and, by extension, the stock of its suppliers, too.  

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When supply chain professionals plan for future demand, their thoughts gravitate to meeting customer service levels while minimizing the amount of capital tied up in inventory.  Demand planning is about having the right product in the right place at the right time … right? Four occurrences of the same word would cause my old English teacher to shudder at this excessive use of a word in a single sentence. However, let us return to the important business of meeting consumer demand without incurring the cost of excess inventory.

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Improved forecast accuracy leads to many downstream improvements in operations and ultimately, on the balance sheet. That is why Gartner, Inc., a highly respected information technology research and advisory firm, puts forecast accuracy at the top of its pyramid of supply chain metrics. In a study published in February 2012, Gartner stated that a 6% forecast improvement could improve the perfect order by 10% and deliver a 10-15% reduction in unnecessary inventory. These are very impressive numbers and a very good reason to work towards improving forecast accuracy.

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