Achieving high-quality, low-cost products under artificial intelligence technologies: an analytical study

Abstract

The study seeks to examine the correlation between artificial intelligence technologies and the potential for producing a high-spec product characterized by superior quality and minimal cost. Modern innovations are seen as essential instruments for delivering goods or services that satisfy client wants and preferences. Artificial intelligence technologies significantly influence manufacturing processes by enhancing their flexibility and responsiveness to quickly evolving market demands. This provides a range of benefits for economic entities that use or want to integrate their existing skills with artificial intelligence demands. The primary benefit is delivering high-quality goods or services at competitive costs that align with the client's buying power, while ensuring the level of pleasure the customer desires from the product is met. This research aims to illustrate the correlation and influence among the variables by establishing an analytical relationship under a sample of 169 employees from the Najaf Tire Factory, which employs a total of 350 workers, to assess the potential for producing high-quality, low-cost products through the implementation of artificial intelligence technologies. The study determined that high-quality products can be produced at a low cost through the utilization of artificial intelligence technologies, which can regulate and enhance production processes, minimize damage, prevent waste, and guarantee adherence to international specifications and standards.