What a PhD and a Shopify Store Taught Me About Ecommerce Data

I built a physical product business. But I never stopped being a programmer.

I've been writing code for decades.

My PhD research was built on data and AI. So was my product company.

When I launched The Radiant Rhino, I didn't leave my technical background at the door. I used it as an edge.

Most e-commerce brands have a goldmine sitting inside Shopify and Klaviyo.

They just haven't dug.

Here's what I built, and what it unlocked:

Inventory forecasting: Predicting what stock we needed, when, and where. Done right, this saves hundreds of thousands of dollars. No dead inventory sitting on shelves. No stockouts killing your momentum. No getting caught off guard by your own busy season.

Customer segmentation: Not just who bought. Who opens every email, who buys again, and where they live. (Want to pitch a retailer? Show them a map of your customers in their zip code. That conversation changes fast.)

Product insights: Which SKUs to kill. Which ones sell together. Which ones deserve your entire marketing budget.

The result: less overstock, more working capital, and a retention system your marketing team can actually use.

I built these systems for myself.

Now I build them for product founders who are tired of guessing.

If you’re ready to put your data to work, let’s talk.