Quality Control in the Automotive Sector
ReclaiM up to 40% Lost to Quality Issues with AI
In the automotive industry, peer reviewed research has shown that quality issues can cost companies up to 40% of their annual sales [1]. This is a huge financial burden, highlighting the critical need for effective quality management solutions.
AxonTrack directly addresses this challenge by eliminating external failure costs, such as expenses related to customer complaints, returns, warranty claims, and product recalls. By integrating AxonTrack, companies can protect their revenue and enhance their reputation for quality.
Looking ahead, the adoption of AI like AxonTrack will become a cornerstone for success in the automotive industry. It's not just about reducing costs; it's about setting a new standard for quality and efficiency. As more companies realize the potential savings and competitive advantage gained from minimizing quality issues, the industry will see a significant shift towards embracing AI-driven solutions. This evolution will not only improve financial performance but also drive innovation and customer satisfaction to new heights.
APQP 3rd Edition Adoption
We're excited for the significant industry milestone: Ford, GM, and Stellantis have officially committed to adopting the APQP 3rd Edition. This collective move by leading automotive giants signifies a unified stride towards enhanced quality planning and operational excellence in the automotive sector. AxonTrack is at the forefront, ready to support these industry leaders and their suppliers in seamlessly transitioning to the new standards. Our AI-driven solution ensures that our clients can quickly adapt to the 3rd Edition, maintaining compliance and competitive edge with the backing of AxonTrack's precision and efficiency. Witness the future of automotive manufacturing unfold with us.
AxonTrack is looking forward to implementing support for the highly anticipated APQP 3rd Edition, a milestone evolution in the automotive industry's approach to quality planning. This latest edition promises to further streamline production processes, enhance quality standards, and introduce innovative methodologies for managing the complex dynamics of automotive manufacturing. With AxonTrack's cutting-edge AI technology, we're poised to help our clients seamlessly integrate the new standards, ensuring that they remain at the forefront of operational excellence and competitive advantage. Stay ahead of the curve with AxonTrack's unparalleled precision and efficiency in adapting to the APQP 3rd Edition's advancements.
saving >100 work days of compLiance
In the automotive industry, the management of Customer-Specific Requirements (CSRs) emerges as a significant challenge, affecting the standardization of business processes across OEMs and suppliers. The "US Manufacturing Quality 2020 Report" [2] illuminates this issue, revealing a broad consensus on the potential benefits of consolidating CSR requirements to streamline operations. However, unifying these requirements is a substantial challenge.
The report sheds light on the substantial resources devoted to maintaining compliance with Quality Management System (QMS) standards, with organizations investing an average of 116 workdays annually per site. The financial toll is equally significant, with an average expenditure of $100,225 per site each year on compliance activities. A reduction in the complexity and redundancy of these requirements could lead to a notable decrease in both time and financial resources expended, with projected savings of nearly $50,000 per site, highlighting the imperative for a more streamlined approach.
In this context, the application of artificial intelligence presents a nuanced solution to navigating the complexities of CSR and APQP processes. AxonTrack, an AI-driven platform, exemplifies this approach by efficiently validating APQP and PPAP documents against OEM and supplier standards. This technology not only proposes a method to reduce the overhead associated with compliance but also aligns with the industry's call for simplification and standardization, offering a pathway to more effective quality management practices in the automotive manufacturing landscape.
