Case study · DTC Fashion Brand
AI Operating System for a DTC Brand
I built AI systems inside my DTC fashion business, connecting product creation, content, pricing, and operations.
All case studiesThe reported results
- Revenue per employee
- +38%
- Manual ops time
- -42%
My DTC business, 2024. First-party results for revenue per employee and manual operations time.
What needed to change.
I ran a handmade fashion business with too much work still handled manually. Product creation, search content, and pricing were separate jobs. My team was stretched thin, and I needed to change how the work got done.
What I did.
I built AI systems around the workflows in my business. I connected product data, descriptions, and search content so they could move through a shared process. I also built pricing tools around product costs and margin targets, and reporting to help me see what the systems were doing.
The implementation
What went into the work.
- Product idea
- Product data
- Content and SEO
- Store
- I connected product ideas, product data, descriptions, and Shopify publishing
- I used different AI models for writing, image work, and other tasks
- I built pricing tools that account for product costs and margin targets
- I connected content preparation, search metadata, and internal links
- I brought fulfillment data and sales activity into the inventory workflow
- I built dashboards to review system activity