GlobalTranz
APRIL 13, 2021
Supply chain disruption is a fact of life for every company that moves any type of product. There won’t be a new normal, just new sources of disruption, from weather to government policies to industry conditions. A resilient supply chain may be stretched to the max, but it doesn’t break.
Logility
SEPTEMBER 28, 2022
Respond quickly, maximize benefits, and identify supply chain opportunities and threats. Supply chain disruptions. They grab daily headlines, and the question always on the table is how to get the visibility and agility needed to respond in time. But technology alone is not the answer.
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QAD
APRIL 11, 2024
Artificial intelligence (AI) is one of the big “buzzwords” of 2024, which is a shame because the technology’s analytical capabilities have a lot to offer supply chain planners – if you can cut through the hype. I’m never one to jump on the bandwagon with emerging technologies. How is AI Improving Supply Chain Management?
AIMMS
MARCH 30, 2020
Our team put several resources together to help supply chain organizations navigate through this crisis safely. . As McKinsey advises , it’s critical for companies to assess the depth of disruption, the length of disruption, and the shape recovery could take. The volatility we’re seeing is unprecedented.
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The current landscape brings with it an almost constant threat of supply chain disruption. While supply chain organizations strive to adapt to new modalities, tools like SAP IBP are helping leading businesses realize next-generation capabilities. Download this eBook to learn: What is SAP IBP?
Logility
AUGUST 31, 2022
It’s a complex problem, but you can successfully optimize inventory levels with the right approach and technology. With all of today’s supply chain disruptions, and new ones no doubt lurking around the corner, companies without optimized inventory are risking overpaying and underperforming.
Enterra Insights
DECEMBER 6, 2022
Why hasn’t artificial intelligence fully transformed supply chains? 1] Their answer: “The root cause of the problem lies not with technology but with how and where companies are applying it.” What’s propelling these successes are automation, artificial intelligence (AI), and machine learning (ML).”[2].
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