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

Supply Chain Shaman

Yes, companies held more inventory (measured in days of inventory) in 2019 than at the start of the 2007 recession. Commercial and operating teams in manufacturing organizations greater than 5B$ in annual revenue were more aligned in 2007, at the beginning of the recession, than in 2020, the start of the pandemic. Alignment Barriers.

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How We Stubbed Our Toe in The Evolution of S&OP

Supply Chain Shaman

When my flight canceled, I was en route to the annual AMR conference in Phoenix. Tight coupling of the supply chain forecast to the financial forecast will improve value. Industries carried on average 32 days more inventory in 2020 than in 2007. (I Why do we have 32 days more inventory by company in 2020 than in 2007?

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2020 Requires Big Wings and Feet

Supply Chain Shaman

Next year’s conference will be on September 8th-11th in Franklin, TN, south of Nashville, TN. The design of the conference includes tours of several modern warehouses and centers of excellence. The budget is not sufficient and is often a detrimental input for supply chain forecasting. Bias and error.

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Will the Downturn Signal an Upturn?

Supply Chain Shaman

As the markets plummet, it is time to remind ourselves that demand is not a forecast. Traditional forecasting approaches are not adequate in a time of market volatility. In the real world, companies operate with a Mean Absolute Forecast Error of 24-60%, and have a bias of 9-40%. I remember December 2007 like yesterday.

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Is A Customer-Centric Strategy the Same as Demand-Driven? Outside-In?

Supply Chain Shaman

As we discussed this drawing the dialogue flowed in the conference room. A Demand-Driven Value Network as defined by AMR Research in 2007: A network that senses demand with minimal latency to drive a near real-time response to shape and translate demand. The sharing forecasts in supplier relationships is of little value.

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Building Outside-In Processes

Supply Chain Shaman

2) Market-Driven Forecasting. Inside-out, traditional processes forecasting processes use statistical methods to predict the future based on order and shipment patterns. So, what are the market signals to model to forecast demand at the cadence of the market? How can you build market-driven forecasting processes?

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Spreadsheets – A Look Back

Kinaxis

From our eBook, S&OP in the 21st century , “An audit of 50 corporate spreadsheets in 2007 revealed that 94% had errors… one for $100 million!” An error in forecasting made by one function will almost always have an impact on at least one or more other functions.