2007 Analytics Forecasting Sourcing 
Supply Chain Shaman
SEPTEMBER 22, 2021
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.
Supply Chain Shaman
FEBRUARY 14, 2022
Orchestration enables companies to effectively manage trade-offs between source, make, deliver and sell.) 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 The process mistakes include: Mistake #1.
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Supply Chain Shaman
AUGUST 14, 2016
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 use of advanced analytics enables the sensing of out-of-stocks. The sharing forecasts in supplier relationships is of little value.
Supply Chain Shaman
APRIL 7, 2016
While traditional supply chain processes evolved from functional excellence definitions for source, make and deliver from the inside-out; to make the digital pivot and become more market-driven, companies need to define new supply chain processes outside-in. 2) Market-Driven Forecasting. Demand latency has grown. Reduce latency.
Supply Chain Insights
AUGUST 3, 2017
It hasn’t been too long ago that a typical consumer products manufacturer rep would replicate last year’s plan, make any adjustments for an account’s expanded stores, new markets, or new product launches, and dub it the new current year forecast. These guys were great at what they did. It was a tedious effort, but, overall, rather easy.
Oracle SCM
JULY 12, 2017
The years from 2007 through 2009 were notable for their economic volatility, reflected not only in the global economic recession but also the instability of customer demand and rapid movement in raw material, fuel, and commodity prices. By Maha Muzumdar. Original version published in APICS Extra , July 2010. Agility is the name of the game.
Arkieva
JANUARY 6, 2017
Three Steps to a Better Statistical Forecast Setup. Arkieva COO – Sujit Singh, outlines three essential steps to better statistical forecasting — simulate, measure, refine. She shared that her business had implemented a statistical forecasting package from one of the leading vendors during the previous year.
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