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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

The systems–based on shipment and order data–were out of step with the market. With fixed models and hard-wired data feeds, teams could not adjust the planning systems to use consumption data or market indicators. Next Steps: Start to model demand based on market data to align the organization on baseline demand.

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Supply Chain Normalcy? Think Again.

Supply Chain Shaman

In the spring of 2022, Asia/US ocean container rates resumed pre-pandemic levels and congestion eased in November 2022 into California ports. For organizations layered in functional metrics and driving a cost agenda, this is a tough nut to crack. To side-step this issue, build planning processes to use market data.

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Embracing the Supply Chain as A Complex Non-linear System

Supply Chain Shaman

Working on it over the holiday break, allowed me to spend more time to think about the trends that I am seeing in the data. We are currently working with the statistics group at Georgia Tech to understand how the relationship of these metrics changed over time, but more on that in a later blog.) Smaller Focused Companies Win.

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The Evolution of Logistics: Connectivity, Data Integration, and Virtual Design

SCMDOJO

The Silk Road became a massively critical route that moved goods from the Mediterranean region to East Asia. IoT The Internet of Things involves the interconnection of devices embedded with sensors, enabling real-time data collection, communication, process automation, data analytics, and data-driven decision-making.

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ERP Master Data: A Guide to Improve Quality & Governance

SCMDOJO

However, the success of an ERP system largely depends on the quality of its master data. Poor quality master data can lead to errors, delays, and inconsistencies, which can have serious implications for an organization’s bottom line. After all, who wants errors lurking in the depths of their master data records?

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Driving Sustainable Growth Through Supply Chain Resilience

The Logistics & Supply Chain Management Society

by Martin You – Sales Director for Asia Pacific at E2open. More specifically, it took 83 days for container transport from Europe to Asia, and 88 days from North America to Asia. Simply put, the quality of an AI decision depends on the extent of the data available – to recognise patterns and glean insights.

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Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains

The Logistics & Supply Chain Management Society

With its ability to derive insights from vast amounts of data and derive insights, generative AI has emerged as a valuable tool to optimize supply chain operations. It can then generate new content using prompts that resemble the original training data.