Transforming “Searching” into “Solving” with Sumitomo Drive Technologies

Transforming “Searching” into “Solving” with Sumitomo Drive Technologies

Before

60 years worth of data was spread across many different systems, requiring a major time investment to use. Locating prior work, reference designs, or application context often required manual effort, limiting how quickly teams could build on existing expertise.

After

With over 50,000 documents and drawings centralized with CADDi, design engineers could find any reference material with ease, opening up time for high-value tasks and process transformation

Founded in 1966, Sumitomo Machinery Corporation of America (SMA) operates under the brand Sumitomo Drive Technologies (SDT), delivering power transmission and control solutions across a broad range of industries. Over decades of growth, expanded engineering scope, and strategic investment, SMA has built a deep library of institutional knowledge—including prior designs, revision notes, documentation, and application expertise. In total, the organization works with more than 26,000 drawings and 32,000 engineering documents, representing decades of engineering experience and problem-solving insight.

This information had been organized into a multitude of specialized systems, such as PLM, CAD, ERP, shared drives, and other data tools. Each of these systems was organized for their own purposes and did their jobs well, but there was no easy way to connect the dots between systems. Answering everyday questions required spending time searching multiple systems and manually correlating data between them. This was a process that would take hours, time that could be better spent on execution and other high value work.

Making your past data into a true digital asset

SDT discovered CADDi while searching for ways to reduce this search time. After loading up their historical data into CADDi’s system, our manufacturing-specific AI was able to centralize them into one searchable, organized database. 

The benefits were dramatic and immediate. What used to be a tedious, many-stage search process across many systems has become a speedy singular search in CADDi. SDT estimates that the new searching process is 90% faster than before.

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Shortening lead time with smart design reuse

When new orders come in to SDT, they’re often complex, requiring a lot of time spent to parse requirements and develop a production plan. The design pre-planning can be a significant contributor to lead time. However, if a similar project was produced in the past, many decisions can be carried over, resulting in huge time savings. The problem is that tracking down the similar project often took longer than the time it saved: searching through multiple systems, correlating different pieces of data, and manually checking if the previous designs overlapped enough.

With CADDi, things are different. Similarity searching on designs can instantly surface past designs that closely match new orders. This allows for a huge head start in fulfilling the new order, saving weeks of design work, shorting lead times for customers, and increasing the capacity of the shop.

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When time is saved in these areas, it can be spent on high value problem solving instead. Engineers can work more strategically, innovating and iterating on past lessons, rather than having to constantly reinvent the wheel. SDT has increased productivity on big challenges, such as product innovation, global standardization, and design revision.

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SDT plans on expanding their usage of CADDi to assist in their design review process, allowing for continuous improvement without sacrificing rigor or efficiency.

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Building for success with high-touch onboarding

As SDT got up to speed with CADDi, they realized that this wasn’t just a tool to add to their process, or even just the basis of a new process. It was an entirely new way to think about their data. Things were possible now that hadn’t been imaginable before.

In order to ensure that SMA was able to get the most out of CADDi, our customer success team worked with them to discover opportunities for deeper utilization and change.

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Want to see how CADDi can unlock valuable time for your organization? Sign up for a free demo today.

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Modern stumbling blocks for procurement

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Since its founding in 1954, DCC Automation / Dairy Conveyor Corp. has become a trusted name in hygienic and performance-driven automation. The company designs and manufactures high-quality conveyor systems, robotic palletizers, custom control panels, and end-of-line packaging solutions. DCC’s Evolution Line featuring the Auto-Pack Caser, Round Bottle Caser, and Slant Caser demonstrates its commitment to precision, cleanliness, and flexibility. Each system is engineered to meet the diverse needs of today’s dairy, food, beverage, and household industries. With recent recognition such as the 2024 Rockwell Automation PartnerNetwork™ OEM Innovation Award, DCC Automation continues to redefine performance standards and drive progress across the global manufacturing landscape.


Their key projects, including palletizers and casers, often involved up to 800 separate line items, resulting in a lengthy procurement process. External factors further complicated this process, making efficiency a challenge. In the modern era of supply chain disruption and complexity, DCC recognized the need to re-evaluate their procurement costs. Factors such as geopolitical relations, ongoing and upcoming tariffs, and material shortages can make previously viable purchasing strategies less sustainable, prompting a strategic re-evaluation.


Unfortunately, making these new procurement strategic decisions requires a lot of experience and expertise. DCC found that the required knowledge was inadequately distributed among different teams, ending up in silos and known only by specific individuals. Existing data management structures, like ERP tools or Solidworks, made the data technically available, but not easily accessible. Different teams working in different systems had a hard time sharing insights and information.


On top of this, a specific initiative in one of DCC’s branches was to consolidate suppliers based on expertise. This is a complicated procurement initiative that requires a lot of manual cross-referencing and expertise – knowing where to find categories of component parts that are similar enough, and finding the ideal quality-price tradeoff point for each category. Processes such as these, that require specific experts to track down data, slow the entire company’s progress towards their goals by taking these people away from other valuable work. The most valuable procurement experts were being stretched too thin.

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"Research that used to be a struggle is now seamless. I've seen a 90% reduction in the time it takes to find data, allowing me to locate critical information in minutes rather than hours."

Thony Aceituno
Senior Design Checker

"By locating a past design that closely matched our new requirements, we were able to reclassify a complex project into a streamlined execution. This capability allowed us to save weeks of design work and significantly shorten the lead time for our customer."

Hugo Duarte
Design Engineering Manager

"CADDi is a game-changer for us. It empowers our team to get beyond simply making drawings and focus their energy on solving complex problems for our customers."

Tony Barlett
Vice President and Chief Operating Officer

"We are just at the beginning of this collaboration. Our vision is to expand this centralized knowledge base beyond North America, creating a truly global engineering asset that unifies our expertise worldwide."

Sara Zimmerman
Vice President of Customer Experience and Product

"The velocity of this project's success is unprecedented. The seamless collaboration between our teams, and specifically the dedicated support from CADDi’s Customer Success group, turned this engagement into a tremendous driver of change for our organization."

Director of Engineering
Stephan Britz

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