How AI Can Improve Manufacturing

Manufacturers are often confronted with various issues, such as unplanned equipment failure or poor product delivery, whether it’s a small business or e-commerce store.
AI Management System
Manufacturers are often confronted with various issues, such as unplanned equipment failure or poor product delivery, whether it’s a small business or e-commerce store. More than 25% of US manufacturers are implementing at least one AI use in manufacturing operations. Doing so can help businesses increase operational efficiency, introduce new goods, adjust design concepts, and plan long-term financial activities. This can also lead to advanced AI development in the long run.


Approximately 60% of manufacturers used AI to improve product quality, increase supply chain efficiency, and optimize purchase and inventory management in 2020. If you want to learn more about how AI can improve manufacturing, here are some of the most common AI applications in the manufacturing industry.

Manufacturing Robots

Manufacturing businesses have used industrial robots since the 1970s. A robotic system with artificial intelligence will analyze its efficiency and teach itself to improve. Industrial robots, better known as manufacturing robots, perform repetitive automated operations, reducing or eliminating human faults and allowing employees to focus on more effective areas and functions. There are various ways robots can be applied, including assembling, quality assurance, sawing, and polishing.

Planned Maintenance

By analyzing sensor data, businesses use AI techniques to find the impact on production and potential accidents. Producers can use AI systems to predict whether functioning equipment can fail, allowing inspection and maintenance to be planned ahead of time. Manufacturers can increase efficiency while cutting costs of mechanical failure owing to AI-powered preventive analytics.

Quality Assurance

The preservation of a specified degree of quality in goods and services is known as quality assurance. Data-driven and integrated assembly linesare guided by a set of variables and algorithms which help them produce top-notch end products. Because most flaws are apparent, AI sensors can detect variations from expected outputs through machine vision technologies. When a final output is of poorer quality than planned, AI systems warn workers, so they can respond and make changes accordingly.

Design Concept

AI algorithms are used in generative design to emulate an engineer’s design approach. Developers or engineers add design criteria into design software which generates all conceivable outcomes based on those factors. Manufacturers can swiftly produce countless design choices for a single product using this technology.

Get started

At AltheaSuite, we offer various cloud-based systems with our software solutions for improved manufacturing processes. We also offer inventory management software for manufacturing industry and lot number management, among other things. To learn more about the company and our products and services, contact us.

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