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Smart Packaging Hub – Newsletter 23rd April, 2025
Smart Packaging Hub – Newsletter 23rd April, 2025
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US Tariffs: how Trump’s tariffs challenge the packaging industry
USA Export
US Tariffs: how Trump’s tariffs challenge the packaging industry
The new US tariffs announced by Donald Trump on April, 2025 will significantly impact the packaging machinery and technology sector, a strategically important industry with strong export orientation. Let’s explore how these new measures may affect the packaging sector, analyzing impacts, risks and opportunities for this industry.
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Energy efficiency in the packaging industry
Energy Efficiency
Energy efficiency in the packaging industry
Today, the packaging industry faces a dual challenge: on one side, responding to significantly rising energy costs, and on the other, reducing its environmental impact. In this scenario, energy efficiency becomes a strategic factor for maintaining competitiveness, managing operational costs, and achieving the environmental goals outlined in sustainability reports.
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The impact of AI on the packaging industry
Artificial Intelligence
The impact of AI on the packaging industry
Artificial Intelligence (AI) is rapidly reshaping the landscape of the manufacturing sector, including packaging. But what exactly does AI mean in the context of packaging? What changes has this technology already introduced, and what trends should we expect in the future? Let’s explore how AI is transforming the packaging industry, making it smarter, more sustainable, and more competitive.
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Guide to remote service and predictive maintenance in Food & Beverage packaging
WHITE PAPER | Smart Packaging Hub
Guide to remote service and predictive maintenance in Food & Beverage packaging
Is your production line really efficient? Find it out with our free Guide to Remote Assistance and Predictive Maintenance in Food & Beverage Packaging. It's a real vademecum to discover how to: reduce downtime with fast and effective remote intervention; prevent breakdowns with predictive maintenance based on data analysis; optimise operating costs with smart technologies and automated solutions; improve productivity and production quality without interruption.
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