-

Amerequip Transforms 100 Years of Engineering Data into Actionable Intelligence with CADDi AI Data Platform

Single-search workflow unifies Amerequip engineering and quality teams with CADDi Drawer – connecting drawings, assemblies, specifications, and cross-referenced part numbers into one accessible system

CHICAGO--(BUSINESS WIRE)--CADDi Inc., a global technology company developing an AI data platform for manufacturers, today announced that Amerequip has implemented CADDi Drawer to centralize engineering data and improve how teams search and reuse historical design information.

According to Amerequip,“The breadth of our operations drives a high volume of data across the organization. Ultimately, our effectiveness depends on how quickly we turn data into decisions, accelerating speed to market in support of our partner customers."

Share

Centralizing a century of engineering knowledge

Since 1920, Amerequip has designed and manufactured custom equipment and solutions for brands such as John Deere, Caterpillar and Oshkosh Corporation. The company supports OEM customers with complex equipment manufacturing, hydraulics systems, new product design and component production. Through over a century of innovation and design, Amerequip has built up a substantial library of past designs. This library should be a useful reference point to improve new work, but its size and complexity created issues when engineers tried to search through it.

One recurring issue involved mismatched part numbers between customers and Amerequip’s internal system. When a customer referenced a part number that differed from Amerequip’s internal numbering convention, the traditional workflow required searching the ERP for a cross-reference, navigating to a drawing server, opening multiple prints, and confirming the match manually. It was a multi-step process that depended heavily on experience and familiarity with the systems.

By implementing the CADDi Drawer platform, Amerequip replaced a multi-system workflow with a single searchable environment. Engineers can now search drawings, part numbers and keywords simultaneously, surfacing relevant drawings alongside cross-referenced internal numbers embedded within the documents. The system also enables teams to identify existing components that appear under different internal descriptions, helping avoid duplicate parts and unnecessary purchase orders.

According to Tim Dorn, Vice President of Engineering at Amerequip, “The breadth of our operations drives a high volume of data across the organization. Ultimately, our effectiveness depends on how quickly we turn data into decisions, accelerating speed to market in support of our partner customers."

Faster answers across engineering and quality teams

CADDi Drawer also improved visibility into how components are used across assemblies. Instead of running “where-used” reports in ERP and manually reviewing drawings, engineers and quality teams can search a part number and immediately see related assemblies and documentation in a single view.

This consolidated workflow reduces system switching and helps teams confirm design relationships faster during quality reviews, change assessments and customer inquiries. Amerequip Head of Quality Bryon Nolan shared, “Many times, we’re working on a part and we want to understand what it goes into. With CADDi, we type in the part number we are reviewing, and in addition to seeing that part, we are also seeing drawings for assemblies that use it. One search. All the results we want.”

To learn more about how CADDi is helping manufacturers unlock the value of historical engineering data, read the full case study, “Amerequip: From Hunting for Drawings to a True “One-Search” Engineering and Quality Workflow” on CADDi’s website.

About CADDi

CADDi is an AI-powered data platform that makes design and supply chain data accessible and actionable for manufacturing teams. Headquartered in Tokyo and Chicago, the company was founded in 2017 by industry veterans Yushiro Kato and Aki Kobashi, formerly of McKinsey, Apple, and Lockheed Martin. Its flagship product, CADDi Drawer, uses advanced AI to centralize and analyze unstructured design and production data, helping manufacturers improve efficiency, reduce redundancies, and unlock innovation. Recognized globally for innovation, CADDi was listed in Fast Company’s Most Innovative Companies and won the SaaS Award for Best Business Intelligence and Engineering Management Software. To learn more, visit us.caddi.com.

Contacts

Media Contact
Milbien Medina
Senior Manager, Brand Marketing at CADDi USA
milbien_medina@caddi.com

CADDi Inc.


Release Summary
Single-search workflow unifies Amerequip engineering & quality teams with CADDi AI Data Platform – connecting data & assets into one accessible system
Release Versions

Contacts

Media Contact
Milbien Medina
Senior Manager, Brand Marketing at CADDi USA
milbien_medina@caddi.com

Social Media Profiles
More News From CADDi Inc.

Dairy Conveyor Corporation Recovers 600 Hours Through a Year of Optimizing Daily Tasks With the CADDi AI Data Platform

CHICAGO--(BUSINESS WIRE)--Structured engineering data enables consistent reuse across manufacturing teams, reducing search time and improving workflow efficiency by 98%...

CADDi Enables a Leading Manufacturer of High-Precision Metal and Plastic Products to Decrease Quoting Time by 96%

CHICAGO--(BUSINESS WIRE)--CADDi, a global technology company that develops data intelligence platforms for manufacturing, today announced new evidence of U.S. manufacturers accelerating output and improving cost accuracy by embedding intelligence into their quoting and estimation workflows. Building on industry trends highlighted in its 2026 Manufacturing Outlook Report, CADDi is now releasing new insights that illustrate how intelligence-driven operations are improving real performance on the...

79% of Manufacturing Executives Say Skilled Labor Shortage is Greatest Challenge According to New CADDi Research

CHICAGO--(BUSINESS WIRE)--Manufacturing leaders weigh in on the trends shaping the industry including the impact of labor shortages, data utilization and digital transformation...
Back to Newsroom