Logistics Viewpoints
JANUARY 16, 2025
Colin heads up ARC’s research into Industrial AI. The current AI landscape can be viewed as a series of wars,” where companies and organizations are battling for dominance across various technological and market battlefronts. AWS has custom AI chips Trainium and Inferentia , for training and running large AI models.
Logistics Viewpoints
NOVEMBER 27, 2024
In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Technologies like RFID (Radio Frequency Identification) and Bluetooth facilitate data exchange between devices. •
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Logistics Viewpoints
MAY 20, 2025
Customs and Border Protection’s systems not fully validating duty calculations on complex lines (which now describes virtually all transactions), brokers face heightened audit risks and potential penalties. When tariff changes happen overnight, brokers need technology that can adapt just as quickly. Compliance Risks : With U.S.
Logistics Viewpoints
DECEMBER 18, 2024
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. The industry’s dependency on traditional energy sources necessitates an urgent shift toward cleaner alternatives.
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Manual processes and disparate systems lead to multiple versions of documents, incomplete records, and duplicated work, creating a chaotic system of records that is difficult to manage. The challenge?
Logistics Viewpoints
NOVEMBER 11, 2024
Mr. Masson recently wrote the report “ Industrial-grade AI: Transforming Data into Insights and Outcomes.” Mr. Masson leads ARC’s research on industrial AI and data fabrics. Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Warehouse management systems rely on RF scans of locations and products.
Logistics Viewpoints
OCTOBER 15, 2024
Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers. Amul’s supply chain model is a well-structured and decentralized cooperative framework that focuses on efficiency and farmer welfare.
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This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Industry benchmarks. Advanced analytics & Scenario Modeling.
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From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Difficulty forecasting demand due to constant supply chain disruptions.
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