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Digital Megatrends – Shaping Supply Chain Innovation

The Logistics & Supply Chain Management Society

Digital megatrends – Shaping Supply Chain Innovation. Small and medium-sized enterprises (SMEs) can achieve this by tapping into technological megatrends shaping supply chain innovations, – like artificial intelligence (AI), machine learning and software as a service (SaaS). Opinion Editorial by GeTS.

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Data Privacy Day 2024

Enterra Insights

Data privacy is a big deal. We sit on the cusp of a new business era driven by artificial intelligence (AI); however, without data AI doesn’t work. That’s why there is a growing tension between data availability and data protection. Two years later, Data Privacy Day was observed in the United States.

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Don’t Wait to Innovate: 3 Key Benefits of Causal Forecasting

Logility

Rather than relying solely on historical data, causal forecasting models also incorporate various factors or causal variables that can influence the forecasted quantity. Let’s consider a simple example—daily sales of ice cream. It’s a given that these sales won’t be consistent throughout the year.

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How manufacturers can enable innovation on the factory floor

SYSPRO Smarter ERP

There is a common cliche that necessity is the mother of invention – and by extension, innovation. The past two and half years have certainly brought a variety of challenges and opportunities that have made innovation not just a preference, but essential for manufacturers and distributors to thrive into the future.

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HWI Unleashes Continuous Innovation

Logistics Viewpoints

They view their implementation of a tightly integrated suite of applications delivered in a public cloud infrastructure from Oracle as a platform on which they can build to help drive continuous innovation. For example, the bricks in a pizza oven are refractory bricks. HWI employed a crawl-walk-run methodology.

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My Failure Of Using Design Thinking To Drive Supply Chain Innovation

Supply Chain Shaman

This post focuses on my failure to use design thinking to spark innovation with supply chain teams and my lessons learned. Today, six years later, I reflect on the gaps of the methodology as it applies to supply chain innovation. For many companies, this is a gap. So, you might say, “This sounds like a hard stance Lora.

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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”