Mitsubishi Materials USA Improves Engineering and Quoting Processes Using CADDi Drawing Intelligence

CADDi has released a new customer case study detailing how Mitsubishi Materials USA is using CADDi Drawing Intelligence to improve access to engineering data and streamline custom engineering and quoting processes. The case study highlights a broader shift within manufacturing organizations toward shared access to historical design and production data, reducing reliance on individual expertise as teams expand and experienced staff retire.

Manufacturers supporting high-mix and custom production often maintain extensive archives of engineering drawings, pricing records, and quality documentation. However, these materials are frequently spread across multiple systems or managed by individuals, making them difficult to locate and reuse efficiently. This fragmentation can slow response times and lead to repeated work.

Mitsubishi Materials USA, part of the Mitsubishi Materials Group headquartered in Japan, supplies cutting tools and engineered carbide products to manufacturers across North America. Founded in 1984, the company supports applications including turning, milling, drilling, and wear-resistant tooling.

By using the CADDi platform, including the CADDi Drawer application, Mitsubishi Materials USA enabled its sales and engineering teams to search for information using customer names, tool numbers, or quote identifiers. This allowed teams to quickly retrieve drawings, inspection reports, and prior decisions without relying on manual coordination between departments.

Improved access to historical data helped reduce duplicate engineering work and shortened response times for custom requests. Sales teams gained the ability to estimate and respond to customer needs independently, while engineering teams were able to reuse existing designs and reference prior outcomes more effectively.

The case study also notes that centralized access to engineering records improved consistency across quoting and design workflows. By making past decisions and quality results visible across teams, the company reduced dependency on individual knowledge holders and supported continuity as projects scaled and personnel changed. According to a regional sales manager at Mitsubishi Materials USA, the ability to quickly search and retrieve information has significantly changed daily workflows and reduced time spent tracking down records.

CADDi is an AI-based data platform designed to make design and supply chain information more accessible to manufacturing teams. Founded in 2017 and headquartered in Tokyo and Chicago, the company develops tools that help manufacturers organize and analyze unstructured engineering and production data to improve efficiency and decision-making.

Read the article in MachineMaker