Remove Forecasting Remove Metrics Remove Sourcing
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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Beyond simply improving forecast accuracy, todays ML-powered demand forecasting software uncovers hidden supply trends, anticipates pricing fluctuations, and enables proactive supply chain planning decisions. Five Ways Advanced Machine Learning in Demand Planning Is Improving Forecasting 1.

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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

In today’s architectures and functional metrics, value optimization does not exist. And, when procurement and tactical planning operate in isolation, there is no decision support framework to guide the trade-offs especially when the functions are tethered to different and conflicting metrics. You are right.

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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!

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A Trillion Dollars in Freight Transactions with Ken Adamo

The Logistics of Logistics

During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability. Prior to joining DAT, Adamo led the pricing and decision science teams at FedEx.

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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. The industry’s dependency on traditional energy sources necessitates an urgent shift toward cleaner alternatives. Transparent sourcing practices build trust among consumers and investors.

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Managing Supply Chain Planning in the World of Scarcity

Supply Chain Shaman

The waste included: Negative Forecast Value Added (FVA) in demand planning. In 85% of organizations that I work with, conventional demand planning processes increase forecast error. Inventory is both our most important buffer and greatest source of waste.) Muda comes from many sources. It was never measured or managed.