Remove Demand Planning Remove Metrics Remove Procurement Solutions
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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. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

The question was, “How can I redefine demand planning processes to use channel data?” The Company focused primarily on retail planning and wanted to extend its capabilities into a consumer products manufacturing solutions offering. Starting to understand the issue with multi-tier demand planning?

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Demand Planning Software: Your Comprehensive Guide 

Logility

Good forecasting leads to good demand planning —and good demand planning means better profitability. That’s why it’s essential to be sure you’re equipping your organization with the right demand planning software. To find the best solution for your business, you need the “what” and the “why”.

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

The Failure of Existing Demand Planning Solutions. During the pandemic, supply chain leaders turned off their demand planning solutions. Also, the solutions lacked flexibility. No company interviewed was able to successfully use their current what-if solutions to model pandemic impacts.

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5 Steps Supply Chain Planning Solutions Implementation Success

Logility

When it comes to implementing supply chain planning and operations solutions, success relies heavily upon an organization’s ability to identify and document its desired value measures and outcomes, and to align those with its solutions provider. 1 Co-develop a business case with vendors. 3 Align on goals and KPIs.

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Editor’s Choice: What Supply Chains Must Overcome to Deliver on the Consumer Promise

Logistics Viewpoints

Lower-income consumers and those using food assistance programs care the most about food waste as a purchase driver—again, suggesting it is a response to higher prices.” The same “If” statement was repeated for a host of financial and operational metrics.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Stakeholders who care about forecasting in demand planning care about accuracy, and usually will not accept a new forecasting method unless it is rigorously validated against known forecasting benchmarks with proven accuracy. In this way, forecast accuracy trends can be leveraged in adjusting demand planning.