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Demand Forecasting in an Inflationary, Supply-Constrained, Semi-Post-Pandemic Environment

Logistics Viewpoints

At that time, I wrote about the COVID pandemic, and how similar events occur that elevate the uncertainty of the market. These events make accurate forecasting very difficult. I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do. Review of Prior Impactful Events. Final Word.

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The Advantage of Speed: The Cooper Health Supply Chain Relies Upon Real-time Risk Alerts

Logistics Viewpoints

Buying organizations use this technology to monitor and analyze supplier risk events in real-time. These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when a negative event has occurred or may be about to occur. Of course it would!

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Demand Forecasting: How It Enhances Ecommerce Operations

Ship Monk

Accurate data forecasting requires accurate data, robust data analysis tools, and people who understand how to use them. Of course, the more data you need and the more sophisticated your methods are, the more expensive demand forecasting becomes. The amount of data available usually depends on the maturity of the product.

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How IoT Brings Railway Efficiency to Dutch Rail Network

IoT World Today

IoT World is North America’s largest IoT event where strategists, technologists and implementers connect, putting IoT, AI, 5G and edge into action across industry verticals. For industry participants, data analysis presents an opportunity to optimize railway operations without adding costly infrastructure. “We Book your ticket now. ].

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Are your L&D programs reaping the outcomes you need?

UL EHS- Sustainability

But the most successful learning and development teams also understand how to measure the success of each training course and react accordingly. A training needs analysis (TNA) will identify where employee training can make a meaningful contribution towards improving performance. When conducting a TNA: 1.

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Supply Chain Data Visibility Paramount as Industry Lurches into Next Chapter

IoT World Today

Supply chains will survive COVID-19, of course, but not without interim pain and structural change. But with a black-swan event, it just magnifies the risk.”. Sign up for virtual event updates here. ]. But those new sourcing strategies must be informed by an accurate data platform that can conduct risk analysis.

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Companies Improve their Supply Chains with Artificial Intelligence

Logistics Viewpoints

In the course of updating our annual research on the supply chain planning market , I talked to executives across the industry. Lead times, for example, are a critical form of master data for planning purposes. The processing units in an oil refinery, for example, operate at high temperature and high pressure.