Should Food Packaging Manufacturers Leverage AI to Optimise Operations?

Posted by Rick Yvanovich

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Artificial intelligence (AI) is revolutionising the manufacturing industry. From predictive maintenance to quality control, supply chain optimisation, and autonomous robots, AI is being used in a variety of applications to improve the manufacturing process.

However, there are also challenges that need to be addressed. In this article, we will explore the impact of AI on manufacturing and its various applications.

Read more: The Popularisation of AI-Powered Applications: Should You Be Afraid of ChatGPT?

Should Food Packaging Manufacturers Leverage AI to Optimise Operations?

Applications of AI in manufacturing

Predictive maintenance

One of the most significant benefits of AI in manufacturing is its ability to predict equipment failure. By analysing data from sensors and other sources, AI algorithms can identify potential equipment failures before they occur, allowing manufacturers to perform maintenance and avoid costly downtime.

Quality control

AI can help manufacturers improve the quality of their products by detecting defects in real-time. Machine learning algorithms can analyse images and other data to identify defects in products, allowing manufacturers to fix the issues before the product leaves the production line.

Read more: How will the Internet of Things (IoT) Impact Manufacturing?

Supply chain optimisation

AI can help manufacturers optimise supply chains by analysing data from multiple sources, such as sales data, weather patterns, and transportation data. By analysing this data, manufacturers can optimise inventory levels, reduce waste, and improve delivery times.

Autonomous robots

AI can also be used to control autonomous robots, which can perform tasks such as assembly, material handling, and quality control. By using autonomous robots, manufacturers can reduce labour costs, increase productivity, and improve safety.

Despite the many benefits of AI in manufacturing, there are also some challenges that need to be addressed. One of the main challenges is the lack of skilled workers who can develop and maintain AI systems.

Another challenge is the cost of implementing AI systems, which can be expensive for small and medium-sized manufacturers.

Finally, there are concerns about the impact of AI on employment, as some jobs may be automated, resulting in job losses.

Read more: What is a Digital Twin and its Implications for Manufacturing?

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How Oliver Packaging applies AI to provide critical food supplies to customers

In today's world, technology is playing an increasingly important role in ensuring the efficient and effective delivery of essential goods and services. In the food packaging industry, this is especially true as companies work to address the challenges of food waste and food insecurity and meet the changing needs and preferences of their customers.

In this context, Infor's AI solution, Coleman AI, has emerged as a powerful tool for companies like Oliver Packaging, helping them streamline their processes, reduce waste, and maintain high standards of quality, all while making a positive impact on their community.

At its core, Infor Coleman AI is designed to provide real-time visibility into the supply chain, enabling companies to track inventory levels, monitor production processes, and identify potential bottlenecks or issues before they become major problems.

For Oliver Packaging, this level of visibility and control has been critical in ensuring that they always have the resources they need to meet demand and can quickly adapt to changes in market conditions or customer needs.

Read more: These 8 Tech Breakthroughs May Redefine Your Supply Chain

By having a complete and accurate view of its supply chain, Oliver Packaging can make informed decisions about production planning, inventory management, and other critical areas of its business, ultimately leading to improved efficiency and profitability.

One key feature of the Infor Coleman AI is its ability to support data-driven decision-making. By analysing vast amounts of data from multiple sources, including customer feedback, production data, and market trends, the solution can provide valuable insights and recommendations to Oliver Packaging's management team.

This can help them to make more informed decisions about production planning, inventory management, and other critical areas of their business, ultimately leading to improved efficiency and profitability.

Read more: Infor Coleman AI Wins Prestigious Stratus Award for Artificial Intelligence

Another benefit of the solution is its advanced predictive analytics capabilities. By using machine learning algorithms to analyse historical data and identify patterns or trends, the solution can provide accurate forecasts for future demand, allowing Oliver Packaging to optimise its production processes and minimise waste.

With accurate and reliable demand forecasts, Oliver Packaging can adjust its production levels accordingly, reducing the risk of overproduction or underproduction and ultimately improving its bottom line.

In addition to these benefits, Infor's AI solution also offers powerful quality control capabilities. By using AI-powered image recognition and machine learning algorithms, the solution can analyse product images and identify defects or issues that otherwise might go unnoticed.

This can help Oliver Packaging maintain high standards of quality and consistency across all meal programs, ensuring that customers receive the best possible products.

Beyond supply chain management and quality control, Infor Coleman AI can also be used to optimise logistics and transportation. By analysing data from shipping and delivery processes, the solution can help Oliver Packaging find the best routes and reduce delivery times while also minimising the environmental impact of its operations.

This can lead to significant cost savings, improved customer satisfaction, and a reduced carbon footprint.

Finally, Infor's AI solution can also support employee training and development. By analysing employee performance and feedback, the solution can identify areas where additional training or support that may be needed and provide personalised recommendations and resources to help employees improve their skills and performance.

This can lead to a more engaged and motivated workforce as well as improved overall efficiency and productivity.

The Infor Coleman AI offers a wide range of benefits for Oliver Packaging's meal programs, from improved supply chain visibility and data-driven decision-making to advanced predictive analytics and quality control.

With its scalability, flexibility, and advanced capabilities, the solution is well-suited to meet the evolving needs of Oliver Packaging and help them continue making a positive impact on their community.

As AI technology continues to evolve and mature, it is likely that more organisations, not just manufacturing businesses, will turn to solutions like Infor Coleman AI to leverage the power of advanced analytics and logarithmic functions to enhance their operations.

Infor Coleman AI is a part of Infor OS, the next-gen operating platform that serves practically every need with a myriad of built-in applications, such as Infor Birst Business Analytics, Infor Ming.le, Infor Data Lake, Infor Document Management, Infor Intelligent Open Network (ION), and more.

For more information on Infor OS, check out its brochure below.

Download Infor OS Brochure

Topics: Technology trends

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Rick Yvanovich

 Rick Yvanovich
 /Founder & CEO/

With TRG International Blog, it is our mission to be your preferred partner providing solutions that work and we will make sure to guide your business to greatness every day.

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