Manufacturing Modeling Software Procurement Analytics 
Supply Chain Shaman
APRIL 9, 2021
of revenue on information technology (IT), only six percent of manufacturers drove performance at the intersection of growth and margin. Average performance in 2016-2019 across twenty-seven manufacturing sectors on inventory turns, Return on Invested Capital and operating margin was worse than in 2012-2015. Rise in Inventories.
Logility
MAY 18, 2020
Chances are, if you’re in marketing, sales, or one of the more technical aspects of business, you’ve used predictive analytics in some part of your job. But your company doesn’t have to be a retail giant to use predictive analytics. using predictive analytics? using predictive analytics?built
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Supply Chain Shaman
JULY 1, 2014
Over the course of the last two decades, we have seen two evolutions of Supply Chain Planning (SCP) software. CRM and SRM functionality did not fit the needs for manufacturing-based companies (CRM was too lightweight. My goal is to enable you to be more equipped to purchase and select new forms of software for the third act.
The Logistics & Supply Chain Management Society
FEBRUARY 15, 2021
Technology can have a significant impact on supply chains, but supply chain digitization still lags behind digitization of other areas of business across many industries. Still, there are several technologies that are transforming supply chains for the organizations that adopt them.
Supply Chain Shaman
JULY 19, 2020
After finishing the Supply Chains to Admire report and the Youtube series (to be released this week), this is my feeling. In the review of my first book, Bricks Matter , Keith Harrison, former Global Director of Product Supply at P&G asked me, “You mention the need for supply chains to shift from a focus on cost to value.
Supply Chain Shaman
DECEMBER 15, 2022
Companies became less clear on the definition of supply chain excellence and how to implement decision support technologies. The financial teams, and the Information Technology (IT) groups, did not see alignment gaps, but the supply chain teams felt them and viewed them as a critical performance issue. Functional Metrics.
Supply Chain Shaman
FEBRUARY 18, 2021
The systems–based on shipment and order data–were out of step with the market. With fixed models and hard-wired data feeds, teams could not adjust the planning systems to use consumption data or market indicators. Next Steps: Start to model demand based on market data to align the organization on baseline demand.
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