Using AI in Manufacturing to Increase Profitability and Efficiency

  • Manufacturing
  • 5/12/2025
Female engineers looking at control panel in auto plant.

AI is revolutionizing manufacturing — improving operations, uncovering data insights, automating tasks, and enhancing product quality.

Integrating AI and lean technology into manufacturing processes offers immense potential to manufacturers.

AI is revolutionizing manufacturing in many ways, including improving operations, uncovering data insights, automating repetitive tasks, enhancing product quality, improving customer experience, and fostering innovation.

Explore how AI can help manufacturers, including a case study using AI to reorganize workflows, resulting in higher revenues and capacity utilization.

Case Study: Manufacturer uses AI to boost capacity use and revenues

A busy consumer product manufacturer faced significant downtime due to variability in production quality and yields.

CLA used AI as part of its process analysis to reorganize workflows. Improvements included:

  • Using AI to process digital information from production lines,
  • Installing equipment for real-time data dashboards, and
  • Adding computer vision cameras for quality inspections.

Real-time change management and training were key to success. The company's capacity utilization and revenues improved by 15-20% without new production lines, capital investment, or changes in staffing.

AI considerations for manufacturers

While the benefits of AI in manufacturing are substantial, there are several considerations manufacturers should keep in mind when adopting AI:

Ethical use of AI

Manufacturers must confirm AI tools are used ethically and responsibly. Manufacturers should address employee concerns to build trust, which can help increase buy-in and AI use.

Data security and privacy

AI systems rely on vast amounts of data, making data security and privacy crucial. Manufacturers should implement robust cybersecurity measures to protect sensitive information and comply with regulatory requirements.

Collaboration and training

Successful AI adoption requires collaboration between various departments, including marketing, information technology, and customer service. Manufacturers should invest in training programs to equip their workforce with the necessary skills to work with AI technologies to increase impact.

Scalability and integration

Manufacturers should consider the scalability of AI tools and if they can be integrated without disrupting current operations.

Continuous improvement

AI is a dynamic field, and manufacturers should continuously monitor and improve their AI systems. Regular updates and enhancements are essential to keep up with technological advancements and changing market demands.

AI tools for manufacturers

CLA offers a range of services to help manufacturers harness the power of AI, including data analytics, automation, and digital transformation. Here are some of our key offerings:

Data analytics and automation

CLA's data and automation team consists of data scientists, data engineers, analytics specialists, and project managers. We provide advanced analytics tools to improve production workflows, streamline supply chain operations, and enhance quality control.

Predictive maintenance

AI-driven predictive maintenance capabilities can help forecast equipment failures ahead of time, reducing downtime and maintenance expenses. Such tools can prolong equipment longevity and boost operational productivity.

Quality control and defect detection

Use AI-powered visual inspection systems to scrutinize products with greater accuracy than human inspectors. These systems detect defects and irregularities, providing consistent product quality.

Customization and product innovation

AI enables personalized production, allowing manufacturers to customize products according to individual customer preferences without significant increases in cost or production time.

Accounts payable automation

AI and automation can reduce up to 80% of manual accounts payable data entry, streamlining the entire AP process. Key benefits include reducing errors and fraud, improved productivity, and time savings, which can be used to invest in other processes and procedures.

How CLA can help with using AI in manufacturing

CLA's experience in data analytics, automation, and digital transformation can help manufacturers harness the power of AI effectively. Contact CLA digital for a complementary initial consultation to see how an investment in AI can positively impact your business.

This blog contains general information and does not constitute the rendering of legal, accounting, investment, tax, or other professional services. Consult with your advisors regarding the applicability of this content to your specific circumstances.

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