AI for Parts Manufacturers & Distributors

We Help YouDo More With Less

I'm Logan. I help automotive, truck, and aftermarket parts companies put AI to work on the manual jobs that eat the week, so your team gets hours back without you adding headcount to get them.

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What Changes When AI Starts Doing the Work

These are the jobs we've set up to run on their own in real parts shops and warehouses.

The weekly report someone rebuilds by hand, pulling labor, freight, and parts numbers out of the system, runs on its own.

The weekly cost report pulls itself together while the coffee brews
Labor, freight, and parts numbers reconciled without the manual copy-paste
Month-end commentary and variance drafts done same day

From "Let's start using AI" to "We can't imagine not using it."

Most teams watch a few demos and then adoption stalls out. We get a company over that hump by building the first automation with them, on their own data.

Organic AI adoption

0+ months

to meaningful adoption

With Rubicon

—

to meaningful adoption

Time saved

—

faster time-to-value

Typical adoption curve for tools like Claude Code, Codex, and Copilot across a 50-person team

See it in action

9 Minutes from Raw Data to Dashboard

Watch a P&L dashboard get built from scratch using Claude Code. 9 minutes and 30 seconds of real time, not a mockup.

See it in action

The real builds, recorded start to finish

I record the builds and put them online with nothing cut. Here are two that map straight onto the weekly report almost every parts shop rebuilds by hand.

How to Automate a Weekly Report With Claude Code (No Coding)

A recurring report turned into a button that pulls the data and refreshes the numbers on one double-click.

How I Automated My Dashboard to Update Itself Every Night (Part #2 of automating with Claude Code)

The same dashboard set to refresh itself overnight, so the number is ready in the morning and nobody rebuilds it by hand.

Watch the full builds on the Rubicon AI channel

One real example

A multi-entity drivetrain-parts distributor runs its monthly reporting on a pipeline I built. It pulls three spreadsheet exports into one live dashboard, so the report the finance team used to put together by hand just runs on its own now.