Automotive Eliminating Excel in Purchasing Forecasting Procurement Analytics 
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. ” My take?
BlueYonder
JANUARY 31, 2023
The following are the insights gained from my discussion with Salim Shaikh , who leads Blue Yonder’s Automotive Industry Strategy, during a recent Blue Yonder Live and webinars that we prepared for jointly. This is the exact word that used by Kelly Bysouth, the chief supply chain officer at International Automotive Components (IAC).
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Logistics Viewpoints
OCTOBER 31, 2022
ZF is a Tier 1 supplier to the automotive industry. While most of their sales are to automotive OEMs, they also sell components that go into other products – trucks and busses, wind turbines, tractors, construction equipment, etc. ZF transforms those purchased products into over 2,000 products. How many parts do we need?
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
DECEMBER 11, 2018
While there is much hype on DDMRP and the use of orders as a proxy for demand, companies need to remember that orders carry latency: they are out-of-step with market purchase behavior. The transformational wave is slowly transforming the automotive industry from a focus on selling “rides” versus the purchase of an automobile.
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%. Markets drive supply chains.
Supply Chain Shaman
OCTOBER 8, 2017
Surprising demand in automotive for car replacement. On one extreme, there is an argument that forecasts are always wrong, “Why do them at all?” ” At the other end of the continuum is the argument that “ Forecast error is the most important metric to improve.” What are they seeing?
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