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How Not to use Machine Learning for Demand Forecasting

ToolsGroup

Eight years ago ToolsGroup was one of the first supply chain planning software vendors to employ machine learning to improve demand forecasting. Even in 2014 when Gartner wrote a case study about Danone using our machine learning to help forecast promotions, it was barely a blip on the horizon.

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Why CPG Demand Forecasting Has Hit a Ceiling

ToolsGroup

Most CPG companies have hit a demand forecasting ceiling. And complexity creates a challenge of how to forecast accurately when faced with new items, new channels and demand shaping. Recent evidence strongly suggests that traditional forecasting techniques in this environment have reached their limits and hit a ceiling.

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Holding Ourselves Accountable for Business Results

Supply Chain Shaman

Enterprise resilience–the ability to have consistent balance sheet returns despite market volatility– decreased starting in 2014. Implementation of Sales Forecasting. The focus on sales forecasting started shortly after Y2k. The reality is very different. There are many reasons. The reason? The reason?

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One Multinational’s Supply Chain Transformation Journey

Logistics Viewpoints

They source from approximately 15,000 suppliers with a sourcing spend of over €7 billion. But even multi-sourcing is not enough. They built them between 2012 and 2014, and then enhanced them when better supply chain risk management solutions became available. Their revenues exceed €25 billion.

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The New Normal: Predictions for Retail in 2021

ToolsGroup

In episode six of Be Ready for Anything, ToolsGroup’s Pre-Sales Manager for Europe, Birger Klinke, talks about what retailers should expect in 2021 and how they can leverage probabilistic forecasting and automation to adjust to a changing marketplace. Check out the video below. Or listen and follow on Spotify. Transcript.

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Insights from Ryder Innovate 2014

Talking Logistics

Source: “Sustainability and Green Initiatives in Transportation & Logistics,” Jason Mathers, EDF, Ryder Innovate 2014. Forecasting. Source: “Advances & Best Practices in Supply Chain Design,” Toby Brzoznowski, LLamasoft, Ryder Innovate 2014. Technology. Distribution Centers.

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Lifting The Gray Curtain

Supply Chain Shaman

As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. ” Her answer was telling.