Remove Demand Planning Remove Inventory Remove Metrics
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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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Demand Planning Software: Your Comprehensive GuideĀ 

Logility

Good forecasting leads to good demand planning ā€”and good demand planning means better profitability. Thatā€™s why itā€™s essential to be sure youā€™re equipping your organization with the right demand planning software. Here are our answers to some of the most common questions about demand planning software.

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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

(The planning team was defending the status quo without questioning current practices and how to improve them.) The question was, “How can I redefine demand planning processes to use channel data?” Starting to understand the issue with multi-tier demand planning? Demand is a tough subject.

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Demand Planning Software ā€“ Top 3 Demand Forecasting Mistakes to Avoid

Logility

Top 3 Demand Forecasting Mistakes ā€”How To Avoid Them with Demand planning software Demand forecasting is a critical facet of successful business operations, acting as the helm guiding companies through the rocks hiding beneath the water of market demands. Neglecting these can distort your forecast.

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18 Ways to Get SALES Involved in Demand Planning

Silvon Software

Collaboration between Sales and Operations professionals in the demand planning process is critical if you want to achieve better delivery rates, higher service levels, fewer stock-outs and increased customer satisfaction. THE DEMAND PLANNING PROCESS (FOR SALES) Simplify the inputs needed by Sales.

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Do You Really Understand Whatā€™s Driving Your Demand Planning Processes?

Logility

Descriptive, predictive and prescriptive analytics should be combined to optimize your demand planning processes. Better forecasting and demand planning processes, which in the past had been beset by low accuracy and poor adoption, were a priority. The A nalytics to B oost your Demand Planning.

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Quick Start Guide to Using Machine Learning for Demand Planning

ToolsGroup

Anyone who has done demand planning knows it is extremely complex, with forecasting challenges and rapidly shifting consumer demand, often exacerbated by seasonality, new product introductions, promotions, and myriad causal factors (e.g. The forecast generated by these algorithms degrades as the demand patterns evolve over time.