McMaster-Carr
McMaster-Carr Innovation & Technology Culture
McMaster-Carr Employee Perspectives
On using AI and LLMs in day-to-day engineering work:
"Our developers are encouraged to find balance between using embedded AI tools to expedite the authoring of code or acceptance tests while maintaining a commitment to understanding the output and implications of any generated code."
On using AI and LLMs in day-to-day engineering work:
"With AI, it’s easy to get caught up in what’s technically possible. But the real value comes from understanding the specific problems teams are trying to solve and using that knowledge to build long-lasting, extensible systems that address those needs."
What People Are Saying About McMaster-Carr
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User Experience & Design: Feedback suggests the site is notably fast and well-organized with helpful categories, facets, and even “search by geometry” that improves findability. Investment in interface craft, explanatory content, and GUI-related IP helps non‑experts navigate complex industrial choices with clarity and speed.
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Process Innovation: Operations are designed for rapid, reliable fulfillment from stock, supported by a growing U.S. distribution network and plainly stated service promises. Procurement/punchout depth and disciplined fulfillment streamline the path from selection to delivery at scale.
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Emerging Technology Adoption: Engineering-grade data and tools—downloadable 2D/3D CAD in multiple formats, direct integrations with tools like Fusion 360, and a documented Product Information API—embed the catalog into design and procurement systems. Internal use of AI/LLMs and machine learning enhances search, warehouse productivity, and overall digital performance.
McMaster-Carr's Tech Stack
ASP.NET
FRAMEWORKS
Backbone.js
FRAMEWORKS
C#
LANGUAGES
DB2
DATABASES
Golang
LANGUAGES
JavaScript
LANGUAGES
Jest
FRAMEWORKS
jQuery
LIBRARIES
jQuery UI
LIBRARIES
Kotlin
LANGUAGES
Microsoft SQL Server
DATABASES
MongoDB
DATABASES
Neo4j
DATABASES
Node.js
FRAMEWORKS
Python
LANGUAGES
R
LANGUAGES
React
LIBRARIES
Redux
LIBRARIES
Ruby on Rails
FRAMEWORKS
SQL
LANGUAGES
Swift
LANGUAGES
TensorFlow
FRAMEWORKS
Miro
DESIGN
Trello
PROJECT MANAGEMENT
Azure DevOps
PROJECT MANAGEMENT
