Examples Innovation Manufacturing Predictive Analytics 
ThroughPut
DECEMBER 6, 2023
Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?
QAD
APRIL 11, 2024
Artificial intelligence (AI) is one of the big “buzzwords” of 2024, which is a shame because the technology’s analytical capabilities have a lot to offer supply chain planners – if you can cut through the hype. Predictive analytics, demand planning and business forecasting have always been core functions for supply chain planners.
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ThroughPut
DECEMBER 22, 2023
If so, you can’t overlook the critical question of how to eliminate bottlenecks in manufacturing. In the world of manufacturing, bottlenecks are like those sneaky expenses that quietly chip away at your profits. Manufacturing and operations bottlenecks are more than just a financial headache. Not so much.
Logility
JUNE 23, 2023
All these elements can help you predict where demand is heading. Causal forecasting is an artificial intelligence (ai) enhanced predictive forecasting technique that goes beyond traditional time-series forecasting. Let’s consider a simple example—daily sales of ice cream. And the result? What are Causal Models?
QAD
DECEMBER 5, 2019
Manufacturing isn’t exempt from this pressure. The manufacturing industry has adopted “Lean” techniques enthusiastically. Lean is about driving out waste from every aspect of manufacturing. Lean thinking helps manufacturers consume less of everything, from packaging and raw materials to energy. Everything.
Global Trade Management
DECEMBER 11, 2023
Introduction Supply chains are the lifeblood of any business, serving as the vital link between suppliers, manufacturers, and end consumers. This newsletter will explore how analytics can revolutionize supply chain management, mitigating risks and enhancing operational efficiency.
ToolsGroup
OCTOBER 13, 2015
This is a compilation of predictions and recommendations from various presentations. They see the highest spending priorities in e-commerce software, supply chain optimization and cost analytics. Cognitive learning and analytics – Burkett predicted that cognitive or machine learning will have a big impact on supply chains.
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