How AI Will Impact the Manufacturing Industry
As generative artificial intelligence (AI) is expected to continue growing and playing a role in consumer experiences and data, learn how you as a manufacturer can prepare for changes it will bring to your processes.
According to a recent consumer trends report, 49% of professionals expect generative artificial intelligence (AI) to improve customer experiences by analyzing customer data to create more intelligent product development, virtual assistance, shopping experiences and more.
As a manufacturer, it’s important for you to consider how AI may play a role in your processes to impact your end-use product performance, too. Learn how generative AI is anticipated to impact packaging, mobility and construction markets individually and collectively.
How Generative AI is Expected to Impact Packaging Markets
From flexible packaging to labels, all packaging markets are anticipated to evolve with changes that generative AI will bring to the value chain.
Elevated Product Design & Development
As consumers implement AI into their retail user experiences such as e-commerce shopping, it’s possible the demands for enhanced e-commerce methods will change as well so that packages are delivered faster for a wide variety of food and non-food products without sacrificing durability.
Improved Manufacturing
By analyzing data from production lines, AI can identify holdups in process methods and recommend improvements to enhance overall manufacturing efficiency. This also can result in cost savings and increased productivity. In particular, it contributes to:
Optimized supply chain: AI also can optimize your supply chain by predicting demand, handling inventory and streamlining production schedules. This can help with reduced lead times, better resource utilization and improved overall supply chain efficiency.
Increased Sustainability
AI can contribute to helping you increase sustainable practices and find ways to make your end-use packaging more environmentally friendly.
Waste: AI can help you streamline package cutting patterns to minimize material waste during production and utilize resources more efficiently. Similarly, it can optimize production schedules and machinery operation that results in less energy usage, reducing overall carbon emissions.
Source: Bostik