How Can Supply Chains Prepare for Black Swans?

Wednesday, September 29th, 2021
Supply chains across industries and around the globe experience significant disruptions due to various unexpected global events. The Covid-19 pandemic has thrown the world into disorder as borders closed and ...

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Decathlon – Case Study

Wednesday, July 14th, 2021
Decathlon is the biggest sporting goods retailer in the world. Regional differences made it difficult to follow the holistic Every Day Low Price strategy while addressing local customer needs with ...

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Data Science Lessons We’re Not Learning Fast Enough

Friday, April 30th, 2021
Mistakes made by new data scientists are disappointingly similar to those still made by professionals Over the past year, I’ve had the opportunity to introduce many students to data science. ...

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Markdowns: From Descriptive to Prescriptive

Friday, April 2nd, 2021
3 analytical approaches to salvage value and prevent waste Descriptive, predictive and prescriptive: the 3 approaches you can apply to solve any business problem using analytics. For example markdowns. Markdowns are ...

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Hamlet for the modern supply chain professional

Wednesday, March 24th, 2021
To MRP, or not MRP, that is the question: Whether 'tis nobler in the mind to suffer The slings and arrows of forced forecasts Or to take arms against them, ...

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Agile Is the Watchword

Friday, March 19th, 2021
3 ways to be more responsive to data volatility Everyone, myself included, was so excited to be done with 2020. The Covid-19 pandemic made it a challenging year, and the ...

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Appendix: To Forecast or Not To Forecast

Thursday, February 18th, 2021
Step-by-step This is the appendix to my other piece: https://towardsdatascience.com/to-forecast-or-not-to-forecast-that-is-the-supply-chain-question-439e0eb47b61 Note: some charting functions in the support file may require using an optional free Excel add-in for best performance. Detailed step-by-step ...

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To Forecast, or Not To Forecast, That is the Supply Chain Question

Thursday, February 18th, 2021
The 5 secret ingredients to solve for profit, rather than accuracy Customers can be unpredictable. Hardly anything about them is forecastable correctly. Change approach maybe? Prediction errors are everywhere. Over the ...

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