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Verusen lands $25M in fresh capital to expand its supply chain analytics platform

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Did you miss a session from the Future of Work Summit? Managing supply chains was challenging before the pandemic, but the health crises headwinds ramped up the pressure. In a 2021 survey from the Institute for Supply Management, 42% of organizations said that increased cost to supply management due to the pandemic was one of their top concerns. A separate poll from BluJay found that outdated IT systems have become a growing barrier to supply chain innovation. One of the major blockers that organizations face when it comes to the supply chain is reconciling -- and analyzing -- information from an array of different sources. Data including images, paperwork, recordings of customer calls, and raw sensor readings are often spread across disparate systems, apps, and services that don't communicate with each other.


5 Ways To Use AI For Supply Chain Management

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Supply chains have gotten increasingly more complicated to manage in recent years. Physical flows are becoming more interconnected and market volatility has increased the requirement for agility and adaptability. This has only been exacerbated by the COVID-19 pandemic which has seen an increased global demand for resources while juggling a variety of changing pandemic precautions. This is why using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.


The Internet of Things in the retail industry

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RFID and the Internet of Things as we understand it today, have a strong historical relationship with manufacturing, warehousing, consumer goods and retail. Kevin Ashton, who coined the term Internet of Things, in fact was working as a marketer at CPG brand P&G when co-founding the MIT Auto-ID Center and was directly inspired by a challenge in retail as you can read here. The challenge was related with logistics, supply chain management and inventory management, all elements which are key for retailers. So it shouldn't come as a surprise that the Internet of Things offers great opportunities in transportation and logistics but also in the digital transformation of a crucial shackle of many supply chains: retail. Moreover, retailers have worked with RFID since quite some time.


5 Ways To Use AI For Supply Chain Management - KDnuggets

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Supply chains have gotten increasingly more complicated to manage in recent years. Physical flows are becoming more interconnected and market volatility has increased the requirement for agility and adaptability. This has only been exacerbated by the COVID-19 pandemic which has seen an increased global demand for resources while juggling a variety of changing pandemic precautions. This is why using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.


Best Artificial Intelligence Logistics Startups -- Transmetrics Blog

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This article about the best artificial intelligence logistics startups is part of the "Logistics of the Future" series looking at the top logistics startups today. We are officially living in the age of Artificial Intelligence. It's everywhere we look, from AI-powered personal assistants to predictive analytics to making medical diagnoses, Artificial Intelligence is making incredible advances across all industries. In fact, a recent report on the state of Artificial Intelligence for enterprises found that supply chain and operations are some of the top areas where businesses are driving revenue from AI investment. Why is AI making such a big difference in the logistics and supply chain, particularly?