Artificial intelligence is transforming demand forecasting in the beverage supply chain by enabling more accurate predictions through diverse data sources and real-time analysis. This shift enhances operational efficiency, reduces waste, and aligns production with consumer demand across various beverage categories.
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An efficient barrel-aging program is not just about “beer, barrel and time”. It requires a clear vision of the desired outcome and, above all, the continuity of a sustainable process that minimizes wasted time and money, so that the project is not just marketing material, but becomes a solid source of revenue.
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Breweries are facing significant challenges due to rising supplier costs and fierce competition. The July 2024 National Beer Wholesaler Association (NBWA) Beer Index highlights a contraction in the craft beer sector, in contrast to growth in other segments. To survive and thrive, middle-market breweries must revamp their supply chains, establishing strategic partnerships and embrace technology to enhance efficiency, reduce costs, and improve market access.
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The brewing industry must embrace Big Data and AI to remain competitive in the digital age. AI can enhance production efficiency, optimize supply chains, and drive data-driven product development and marketing. Breweries should focus on building a robust data infrastructure and integrating it with partners to enable future innovations. By doing so, they can leverage AI to transform operations and gain a competitive edge in the evolving market.
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From minimizing resource consumption to investing in renewable energy and optimizing packaging and distribution, breweries are revolutionizing their operations for a greener future.
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Brewery spent hops (BSH) constitute an important waste stream in brewing. Finding ways to reuse, or repurpose hops is a major step towards breweries achieving a circular economic approach to dealing with waste in a brewery.
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