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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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As The Wind Blows: Improving Supply Chain Planning

Supply Chain Shaman

As companies consider purchasing new solutions based on better planning engines—machine learning, rules-based ontological frameworks, narrow AI, pattern recognition, large language models, and sentiment analysis— I ask for the use of caution. However, SAP supply chain planning is an excellent system of record. You need both.

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Demand Forecasting Software: Demystifying AI

Logility

Demand forecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. However, traditional forecasting methods often fall short in accuracy. Fortunately, with the advent of artificial intelligence (AI), demand forecasting software has undergone a significant transformation.

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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. To manage continuous improvement, companies need a clear definition of excellence and organizational alignment to that goal. They do not excel in planning or forecasting.

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How Do We Stop Buying Planning Software the Wrong Way?

Supply Chain Shaman

“We are considering the purchase of Blue Yonder, Logility, Kinaxis, o9, or OMP. How do you define excellence in planning? Companies that buy technologies from an RFP process have a high likelihood of ending up in this predicament. Buying planning software is a lot like buying a car. ” Lora. “ Joe.

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Just Jump

Supply Chain Shaman

In my first classes, I taught the group how to speak the language of demand—forecastability, Forecast Value Added (FVA), backcasting, demand and market latency, and market drivers. 40-50% of items are not forecastable at an item/location level. Lack of executive buy-in. Instead, we need to Jump. The So What?

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Thoughts. Selecting Supply Chain Software

Supply Chain Shaman

In 2012, when I started Supply Chain Insights , I believed that I could revolutionize the purchase of supply chain planning solutions by initiating a rating and review process across trading partners. Buying supply chain planning software is hard. How are people buying software? Here I share how to challenge the status quo.