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Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. Further, AI-driven demandsensing allows businesses to combine scattered data which is essential for better forecast accuracy.
The modern supplychain is a complex network of suppliers, manufacturers, distributors, and customers, all interconnected and reliant on a shared ecosystem of trust and accountability. As industries evolve and global markets expand, ethical considerations have become central to supplychain compliance.
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
Jack Fiedler, the vice president for digital transformation of the global supplychain at Lenovo Lenovo is ranked tenth by one leading analyst firm among a list of global companies with exceptional supplychains. Jack Fiedler : We’re unique in the technology industry. That has worked out well for us.
Strengthen your operations with the SupplyChain Resilience Checklist. This practical, easy-to-use tool helps your organization prepare for disruptions and ensure long-term continuity in an unpredictable world.
It has led supplychain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supplychain solutions is eager to explain the ongoing investments they are making in artificial intelligence. When it came out, ChatGPT seemed like magic.
At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supplychain management software. Like betting that a champion racehorse will win a specific race, this “single-number” forecast assumes one definitive result.
The pace of technological evolution is pushing organizations to the brink. This is more evident in supplychain, where time-tested methods are being replaced with new ones. The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP).
Blue Yonder continues to demonstrate its commitment to sustainability with its latest acquisition of a UK-based Pledge Earth Technologies (Pledge). Pledge provides supply teams and logistics providers (LSPs) with accredited emissions measurement and reporting capabilities.
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The adoption of AI in supplychainautomation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in supplychainautomation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics.
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
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As early as next year, procurement and supplychain operations will begin to adopt AI agents, often called “agentic AI,” to work alongside employees to make and execute decisions with precision across procurement and even the most complex global supplychains.
I laugh when business leaders tell me that they are going to replace their current supplychainplanningtechnologies with “AI.” Each supplychainplanningtechnology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions.
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The new year has arrived and so has the new wave of noteworthy news coming out of the supplychain space. A first-of-its-kind research project was published by the FAIRR Initiative, addressing human rights violations and overfishing in the seafood supplychain. As the year marches on, you can count on weekly updates here!
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Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
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She wrote, “I have been working in the supplychain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. Over the last two years, I actively engaged technologists and business leaders to redefine demandplanning.
Supplychain teams face a similar dilemma – companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supplychain networks.
Technology can change or even improve work. Companies today making a fundamental mistake: they are attempting to automate current processes with AI versus challenging and redefining work. What’s missing? Today, in supplychainplanning, this could not be further from reality. It is a landgrab of sorts.
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India’s growth story can continue if it streamlines and effectively manages its supplychain like the iconic dairy brand Amul that recently entered the US market. Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers.
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Explore the most common use cases for network design and optimization software. This eBook shares how supplychain leaders leverage their supplychain design software to tackle a variety of challenges and questions. Creating a strategic digital twin (digital representation) of your supplychain network.
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Supplychain sustainability is increasingly important for companies facing expectations from investors, regulators, customers, and employees. Integrating ESG across supplychains presents clear operational and strategic challenges that require focused attention. Data collection and verification remain areas of concern.
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