A recent Gartner survey reveals the top influences to supply chain success, although it found only 29% of respondents said they had sufficiently developed three of the top five drivers for future…
While digital twin technology for managing end-to-end supply chains is still in its infancy, many recognize the need, and many companies are leading the way with ambitious pilots.
Companies often buy technology solutions without understanding whether it will fix their business problem. Until that changes, excessively high rates of project failures will persist.
Friday, March 21, 2025 · SCMR Staff
In this webinar, attendees will have the opportunity to explore how Reddy Ice has turned the art of the possible into reality.
Thursday, March 20, 2025 · Brian Straight
A recent Gartner survey reveals the top influences to supply chain success, although it found only 29% of respondents said they had sufficiently developed three of the top five drivers for future readiness.
Wednesday, March 19, 2025 · Emel Aktas and Sharath Bobba
While digital twin technology for managing end-to-end supply chains is still in its infancy, many recognize the need, and many companies are leading the way with ambitious pilots.
Monday, March 17, 2025 · Norman Katz
Companies often buy technology solutions without understanding whether it will fix their business problem. Until that changes, excessively high rates of project failures will persist.
Thursday, March 13, 2025 · Rishabh Gupta, Vipul Garg, and Ila Manuj
A best-practice drone framework that has been successfully implemented in the healthcare supply chain shows the viability of drone delivery in other supply chains.
Wednesday, March 12, 2025 · SCMR Staff
The pharmaceutical industry faces significantly longer lead times than other industries, and time delays can seriously impact the health outcomes of countless individuals. Recognizing the potential risks this poses, one industry giant sought to improve on-time delivery through…
Tuesday, March 4, 2025 · Bridget McCrea
As supply chain risks continue to proliferate, more companies are turning to AI to help them identify potential disruptions, make data-based decisions and leverage new opportunities.
Tuesday, March 4, 2025 · Brian Straight
We talk often about what a visitor from another planet would think if they landed on Earth? Well, the same applies if you open my inbox. Two out of every three messages these days centers on artificial intelligence or the impact of tariffs on supply chains. If you didn’t…
Friday, February 14, 2025 · Apu Pavithran, founder and CEO, Hexnode
Despite knowing the importance of strong cybersecurity, the supply chain still struggles to overcome resource constraints, skill gaps, and legacy systems.
Thursday, February 13, 2025 · Brian Straight
Amazon has revolutionized many industries, including logistics and fulfillment, in part because of a culture that encourages innovation rather than discouraging ideas.
Friday, January 31, 2025 · Brian Straight
A White House spokesperson said President Donald Trump has approved tariffs of 25% on Canada and Mexico and 10% on China as of Feb. 1. It is unclear if there will be any exceptions.
Wednesday, January 29, 2025 · SCMR Staff
This webinar explores how Generative AI can enhance supply chain resilience by improving risk management, digitization, and collaboration while addressing current and future challenges.
Friday, January 24, 2025 · Gartner Supply Chain
By focusing on technology trends like GenAI, predictive analytics, and conversational AI, CPOs will be in a better position to navigate the complexities of the digital landscape and deliver greater value to their organization.
Thursday, January 23, 2025 · Don Hicks, CEO and president, Optilogic
Supply chain design has an increasingly powerful ability to use digital, data-driven models to create the future supply chain your organization is going to need. Since the future hasn’t happened yet, missing data is simply a part of every project. But, it can be accounted for.
Wednesday, January 22, 2025 · Massachusetts Institute of Technology
By leveraging a data-driven approach and machine learning algorithms, an oil & gas company was able to more accurately predict semiconductor availability, reducing safety stock inventory and more effectively predicting lead-time forecasting.
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