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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.

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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.

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Supply Chain Performance Declined In the Last Decade. The Question is Why?

Supply Chain Shaman

of revenue on information technology (IT), only six percent of manufacturers drove performance at the intersection of growth and margin. During the pandemic, conventional planning systems were inadequate. Over 85% of companies turned their systems off, turning to spreadsheets and ad hoc manual analysis. Despite spending 1.1%

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Omnichannel Supply Chain Metrics: What Should Supply Chain Leaders Measure?

GlobalTranz

The answer lies using these omnichannel supply chain metrics to carefully track and improve operations continuously. This is a simple key performance indicator (KPI), another name for metrics, to track. If vendors fall behind on this metric, you may need to re-evaluate your partnerships or expand your list of approved vendors.

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Modern TMS Solutions: Driving Sustainability in Supply Chain Operations

Logistics Viewpoints

However, as carbon taxes and emissions reporting requirements continue increasing, supply chain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Sustainability is high on the list of favorite corporate buzzwords.

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The Secret to Rapid Digitisation: A Dual Platform Strategy

The Logistics & Supply Chain Management Society

One of the industry’s biggest concerns is how to digitise and transform quickly, without starting from scratch and having to throw away your enormous investment in traditional systems. The good news is that you don’t have to—even if you have hundreds of legacy systems and ERP instances across your company.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Let’s take a closer look at each one. Accuracy and transparency.