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Think Tank
Forecasting & Demand Planning: Page 48
Shaw Industries Embraces Global Planning with OMP Plus: A Case Study
Put an End to Data-Management Woes in Your Supply Chain With MDM
As supply-chain design and management struggles to live up to modern-day business imperatives, enterprise decision makers have turned their gaze toward the inefficiencies plaguing it.
Buyer’s Guide for Supply Chain Network Design Software
Why Supply Chain Technology Needs Blockchain
There is a tremendous mismatch in the selection of appropriate technologies to automate complex and decentralized operations.
Drugmakers Stockpiling for Brexit: How Long Do We Wait?
Pharma companies ramped up their stockpiles of drugs to prepare for a potentially chaotic Brexit. Now they’re in the dark about how long they’ll need to hold them.
The Winners and Losers of Coffee's 13-Year Low
Coffee has been among the worst-performing commodities in the past few years as the world became awash with beans, and there are few signs of a meaningful rebound any time soon.
Gen Z: The Kids Corporate America Just Can't Afford to Ignore
This is the year Gen Z takes over, and fusty companies that want to sell them stuff have to crack the kids’ code.
There’s Nothing Better Than the Lithium-Ion Battery Coming Soon
The battery of the future — at least for the coming decade — will almost certainly be the battery of the past.
How to Turn Supply Chain Complexity Into Great Service
The secret to service-driven planning is probability forecasting and stock mix optimization.
Improving Fine Foods Forecast Accuracy While Optimizing the Supply Chain
Challenge:
A food company aimed to achieve and maintain a 98.5-percent service level — while improving forecast accuracy — to optimize planning and keep ahead of production requirements.
New AI-Based Tool Can Boost Forecasting Accuracy up to 50 Percent
Supply-chain software company Logility Inc. has launched an autonomous tool that claims to increase forecast accuracy by 20 to 50 percent.
Podcast | When Forecasts Go Wrong — and Why
Conventional wisdom says that the forecast is always wrong. Is that an excuse for demand planners to give up?
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