E-commerce Infrastructure · sub-niche
Returns and refund automation.
AI-mediated returns, refunds, exchanges — the post-purchase workflow most stores ignore.
One-quarter buildHot — multiple deals per month
Why now
Returns are 15-30% of e-commerce orders. The unhandled-returns workflow is the leakiest bucket in DTC.
What the signal looks like
Repos with Shopify / e-commerce platform adapters, return-policy DSLs, and customer-message LLM tools.
Public examples
We name publicprojects + categories only — never founders we track inside the paid product. The buyer’s edge stays inside the product.
- Loop Returns shape
- AfterShip Returns
- Open-source returns workflow libraries
What this displaces
A customer-service team manually approving each return.
Our build-vs-invest call
Hot. The wedge is the return-policy DSL + the e-commerce platform integrations + the fraud detection.
Common questions about this niche
- Buyer?
- DTC + mid-market e-commerce brands.
- Pricing?
- Per return processed or monthly SaaS.
- Moat?
- Integration footprint + policy DSL + fraud accuracy.
More inside E-commerce Infrastructure
- Shopify app replacements — Specific Shopify-app categories where the incumbent is mediocre and AI-native rebuild wins.
- Headless CMS for stores — CMS for headless e-commerce — Shopify Storefront API or BigCommerce GraphQL + content.
- AI product listing generators — Generate product titles, descriptions, alt text, SEO copy from images + structured data.
- Post-purchase experience SaaS — Tracking, support, upsell — the post-purchase window that most brands waste.