Logility
OCTOBER 8, 2021
CPG companies can collaborate more effectively, get consensus, and make better decisions faster with the right solutions for S&OP success. Strong, integrated planning requires closed-loop integration with enterprise technology systems, something that can’t be achieved with spreadsheets and simple databases.
Supply Chain Shaman
FEBRUARY 22, 2021
In my recent work with clients, I have been thinking a lot about S&OP and how we screwed it up. In Figure 1, note the decline in perceived S&OP effectiveness over the past three years. S&OP Effectiveness in 2019 Versus 2016. Tight integration to the financial budget through S&OP.
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Supply Chain Trend
DECEMBER 19, 2016
In the last 30 years S&OP improved performance in many businesses. However, S&OP has not yet substantially delivered on its ultimate promise of enterprise wide resource management, rolling financial forecasting and strategy deployment. Worse, overall S&OP development and progress seems to have stalled.
Supply Chain Trend
DECEMBER 13, 2016
In the last 30 years S&OP improved performance in many businesses. However, S&OP has not yet substantially delivered on its ultimate promise of enterprise wide resource management, rolling financial forecasting and strategy deployment. Worse, overall S&OP development and progress seems to have stalled.
Supply Chain Shaman
JANUARY 15, 2022
When I joined the software company, I had just finished my MBA at Wharton School of Business. I was excited that supply chain modeling could become a corporate linchpin to drive success by selecting alternative and winning strategies. I attended the company kick-off of the software company with wide-eyed amazement. I listened.
Supply Chain Shaman
JANUARY 15, 2022
When I joined the software company, I had just finished my MBA at Wharton School of Business. I was excited that supply chain modeling could become a corporate linchpin to drive success by selecting alternative and winning strategies. I attended the company kick-off of the software company with wide-eyed amazement. I listened.
Logility
AUGUST 14, 2020
There are libraries full of algorithms that are relatively easy to implement in software, but the math is only as good as the data it’s applied to. Better forecasting implementations relate to: Preparing data for analysis; Measuring data currency, coverage and accuracy; Understanding how order fulfilment impacts your forecasts; and.
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