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Matterform

Better solutions, thoughtfully made. A direct-to-consumer home goods brand built around AI-assisted physical product development, in-house manufacturing, and multichannel eCommerce distribution.

2020 - Now · Atlanta

Amazon FBAShopify · Walmart · Etsy · eBayAI automationCADCustom ERP Software

A side project that grew into a full-time business

Matterform is a direct-to-consumer brand I founded in 2020, making home goods and hobby-based products. Every SKU is designed, prototyped, and manufactured in-house using 3D printing. What started as a few products on Etsy grew into a multi-channel operation with Amazon FBA as the flagship distribution channel, alongside Walmart, Etsy, eBay and an AI-coded Shopify store.

Product development, manufacturing, listing creation, ad management, forecasting, fulfillment: every lever is one I pull personally, with the help of custom AI tools. After a decade running product & design for large enterprises, I set out to build and run an entire eCommerce business on my own.

Revenue

Mid 6-figure

Annual gross revenue

Growth

40% YoY

Growth in 2025

Reach

5 channels

Amazon · Walmart · Shopify · Etsy · eBay

All SKUs are designed, prototyped, and manufactured in-house.

problem

Sourcing through typical channels meant long lead times, high upfront cost, and cookie-cutter products with little differentiation.

approach

Use CAD and 3D printing to compress the design-to-ship loop. Every product starts with market and competitive analysis, turns into a Fusion 360 model, iterates through 3D-printed prototypes, and ships in small-batch runs I produce in-house.

outcome

Weeks to market instead of months. I can ship a new SKU before most sellers finish a sourcing request, at far lower upfront cost, and I improve products over time from real customer feedback.

Diversified across five distribution channels.

Amazon FBA is the biggest revenue channel and carries the fulfillment load. But single-channel concentration is a real risk, so I sell across four more channels to diversify revenue and reach more customers.

Amazon FBA: flagship distribution channel, with AI-assisted forecasting and production planning.
Shopify Store: D2C distribution channel, built out through Claude Code (see the next chapter).
Walmart Marketplace: additional tier-1 distribution channel to drive growth beyond Amazon.
Etsy and eBay: original channels from the initial phase of the business, still providing minor distribution today.

A Shopify store built with AI.

matterform.io is the brand's direct-to-consumer storefront. Started from one of Shopify's base themes and customized end-to-end using Claude Code and Shopify's developer tools: collection structure, product page design, content sections, SEO schema markup, and more.

Connecting Claude directly to Shopify makes both code updates and store administration simple and fast. The same setup that edits the theme can also manage the catalog, so reworking a collection, updating products, or shipping a design change all happen from one place instead of clicking through the admin.

matterform.io Shopify storefront homepage

AI turns product specs and competitor research into optimized listings.

problem

Every SKU needs a listing on each channel. The core story is consistent, but each marketplace has its own listing requirements and formatting. Doing that by hand across dozens of SKUs is a real time sink.

approach

Generate it. Each SKU has a single knowledge base of specs and positioning. Combined with analysis of the top competitor products, AI drafts accurate, optimized content: titles, bullets, descriptions, AI image prompts, and A+ content blocks, formatted for the channel it's going to.

outcome

A new product goes from finished design to launch-ready in a fraction of the time, and I spend the saved hours on bigger business decisions instead of copywriting.

Inputs

Specs + comps

Grounded in real product data and competitor analysis

Outputs

6 asset types

Copy, image prompts, and A+ content per channel

Channels

Each formatted to its marketplace's requirements

A custom ERP forecasts demand and plans production.

Stock-outs are expensive: every out-of-stock day on Amazon compounds into lost product ranking. Most off-the-shelf software doesn't fit a model where I manufacture my own inventory in a print farm. So I built my own.

It tracks raw materials and how they combine into final products. A Claude agent forecasts demand per SKU from sales trends; those forecasts feed weekly production plans, and the system back-calculates the raw materials I need to buy to hit them. It was the first software I built through AI-assisted coding, using Replit in the early days.

ERP purchasing — Purchasing · raw-material buys calculated from upcoming production

ERP weekly production drill-down — Weekly drill-down · production vs packing progress by SKU

An AI agent that analyzes and optimizes my Amazon ad campaigns every week.

problem

Amazon Ads accumulate waste quickly: expensive search terms that don't convert, bleed between exact, phrase, and broad, and underperforming ASINs dragging up portfolio ACoS.

approach

A weekly review I run with Claude and a dedicated PPC skill. It pulls the appropriate reports, flags waste, winners, and negatives. I review and iterate on the recommendations and it submits the changes.

outcome

A review that could take hours now takes 20 to 30 minutes. Negative-keyword lists stay current and portfolio ACoS stays in a healthy range without constant micromanagement.

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Open to new opportunities in AI, Product + eCommerce. Atlanta-based, remote only. Best at 0→1 product work with AI doing real work under the hood.

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