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The Power of the Network: ERP vs. Spend Management

Logistics Viewpoints

GEP and the North Carolina State University (NCSU) Supply Chain Resource Cooperative surveyed supply chain, procurement and IT professionals across a range of industries to gain insight into their priorities and strategies regarding supply chain resilience and optimization. Alex Zhong, Director Product Marketing at GEP.

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7 Tips: A Guide to Mastering Procurement

Material Handling and Logistics

With the digitization of the source-to-pay process being a key initiative for many chief procurement officers, to the inherent automation which promises to accelerate innovations such as artificial intelligence (AI), digitization is growing. However, it is fundamental to empowering procurement success in the modern age.

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Analytics in Supply Chain Management Becomes Central As Coronavirus Escalates

IoT World Today

Bouncing back more quickly, said experts, will require supply chain managers to turn to new ways of managing the supply chain, including using Internet of Things (IoT) data, analytics and machine learning (ML). Bringing Analytics to Supply Chain Management. An AI system needs to be fed data sets to learn how to behave and react.

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Using Predictive Analytics For Better Supply Chain Resilience

Blue Grace Logistics

Improving predictability in outcomes is valuable, but ensuring your supply chain is nimble enough to act on the data is even more so. We explore how predictive analytics and big data with human sentiments can add value and amplify their supply chain strategies. Concept of Predictive Analytics.

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Supply Chain & Logistics News September 2nd – 6th

Logistics Viewpoints

These clothing companies have revolutionized how consumers purchase, wear, and dispose of their clothing. First, in the early 2000s, advancements in data analytics, RFID, and localized supply chains fueled the rise of “fast fashion.” million on DOE loan application-related costs and stock and transaction-related expenses.

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The Importance of Clear Data When Planning for Your Business’s Success

WorkWave

In the grand scheme of things, data analysis falls into the categories of descriptive, predictive, and prescriptive. While descriptive data presents existing figures, predictive data allows you to draw insights from trends in your descriptive data in order to make an educated guess about what might happen next.

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Data key to tackling forecasting challenges

FreightWaves SONAR

Businesses are prioritizing the speed of data propagation within their supply chains. According to Gold, NRF members have made significant investments in data analysis to improve their ability to predict consumer demand to prevent bloated inventory levels that many large retailers experienced around this time in 2022.

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