2007 Eliminating Excel in Purchasing Forecasting Sourcing 
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. Demand latency is two-eight weeks delayed from consumption purchase to translate to an order. Don’t believe me?
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.
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Supply Chain Shaman
MARCH 8, 2016
As an analyst in the supply chain market for 15 years, I have written many articles on best-of-breed technology companies purchased by a larger company. The initial software product release name was Real-Time Forecasting. DS replaced rules-based forecast consumption with better math (statistics and pattern recognition).
Supply Chain Shaman
OCTOBER 8, 2019
The focus is on the role of supply chain finance in driving supply chain excellence. 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. The supply chain forecast is a rolling forecast.
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. Bio-engineering? Customization?
Supply Chain Shaman
AUGUST 26, 2015
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.
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. It is about much, much more than Vendor Managed Inventory (VMI ) or Collaborative Forecasting and Replenishment. Market-Driven Processes. Demand Sensing.
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