#Japan #Tokyo #CADDi #Panasonic #AI Data Platform

CADDi Unveils AI Data Platform for Quality Assurance

In an effort to tackle the digital transformation challenge in the manufacturing sector, CADDi Inc., a startup based in Tokyo, has announced the launch of its AI data platform for Panasonic Automotive Systems, headquartered in Yokohama. This initiative aims to enhance the data utilization framework in the quality assurance realm.

Background and Challenges

Panasonic Automotive Systems has been focusing on a data-driven transformation in its quality assurance processes to enhance long-term corporate value. Historically, the quality assurance teams have faced significant hurdles as they managed past trouble data and defect reports in a decentralized manner across various departments and locations. This fragmentation made it arduous to integrate and use data effectively, resulting in increased time and effort spent on identifying similar issues during defect occurrences and generating customer-facing reports.

The situation has led to insufficient resources dedicated to proactive prevention activities during critical stages such as design and production preparation. Additionally, the unique analytical insights and tacit knowledge from veteran employees risk being lost due to staff transfers or departures. In response to these challenges, the decision was made to introduce CADDi as a means to establish an integrated information infrastructure and drastically reallocate operational time resources.

Benefits of CADDi Implementation

The deployment of CADDi is anticipated to yield remarkable benefits. By structuring and aggregating unstructured data, such as past trouble data, defect reports, and analysis reports from multiple locations, CADDi provides a centralized data utilization platform. The projected outcomes include:

• - Reduction in Time for Identifying Similar Issues: The time taken to locate similar incidents is expected to decrease from over a week to just a few minutes.
• - Efficiency in Report Creation: The labor required for preparing analysis reports for OEMs could be slashed by approximately 50%.
• - Cost Reduction via Resource Reallocation: Streamlined processes will enable cost savings by reallocating workforce resources effectively.
• - Preservation of Organizational Knowledge: Insights from experienced analysts will be structured and passed on as organizational assets rather than being lost with individual personnel departures.

The establishment of this information infrastructure is also intended to transition toward a long-term approach that integrates further actions within design, development, and production technology sectors, fostering relevant responsibility distributions and gradual expansions through data utilization.

Future Prospects

Panasonic Automotive Systems aims to utilize the achievements in its quality assurance department as a cornerstone to expand into design, manufacturing, and production technology sectors. The company aspires for a comprehensive rollout that includes overseas locations as part of its global strategy. As the automotive industry becomes increasingly agile in its shift to software-defined vehicles and advances in electric and autonomous driving technologies, the cross-utilization of quality data and the establishment of preventive systems have become urgent needs across the sector. CADDi will play a vital role in supporting the ongoing transformation toward a data-driven enhancement of corporate value.

Insights from Panasonic Automotive Systems

Comments from Kosuke Shiba, Quality Assurance Dept.

Kosuke Shiba from the Quality Assurance Center noted, "One of the longstanding challenges has been the excessive time spent searching for necessary information in our operations. With the introduction of CADDi, we expect a streamlined environment that allows for rapid and convenient access to historically accumulated knowledge, ultimately enhancing our ability to focus on higher-value tasks like preventative initiatives and design feedback."

Comments from Kasuki Tanaka, Customer Success Dept.

Also, Kasuki Tanaka from the Customer Success division commented, "In our call centers, we handle a high volume of email inquiries regarding commercial products, consuming considerable time in creating response templates. By utilizing CADDi, we aim to reduce the time spent on response creation, allowing us to shift resources to other important tasks, all while fostering a chain of continuous improvement. We are at the nascent stage of this endeavor but are optimistic about the potential CADDi holds for transforming our operations."

CADDi, known as the manufacturing AI data platform, empowers organizations by analyzing and correlating data across engineering and supply chains to enhance decision-making and production activities. By utilizing the combined strengths of manufacturing expertise and AI technology, CADDi aspires to convert disparate experiences and data into a competitive asset.

About CADDi Inc.

Founded on November 9, 2017, CADDi Inc. operates on the mission of unlocking the potential of the manufacturing industry by converting scattered data and experiences into assets that support decision-making and execution. With a presence in Japan, the USA, Vietnam, and Thailand, the company is committed to driving global transformation in manufacturing. As of now, CADDi has raised a total of ¥25.73 billion in funding, focusing solely on the development and operation of the manufacturing AI data platform CADDi after integrating its product sourcing support business into the AI platform operation.

For more information, visit CADDi’s official website.