AI for E-commerce & DTC Brands
Most e-commerce & dtc brands have been pitched AI for two years. Almost none of them have a production deployment that's still running. We're the team you call when you need the work shipped, owned, and measurable — fixed-price, source-code transferred, 30-day post-launch warranty included. Shopify/BigCommerce DTC brands doing $5M-$200M GMV.
The cost we're solving for
Ad costs went up 70% in 3 years. Margin is dying. The only way out is more efficient operations and smarter customer lifetime value — exactly where AI wins.
$1.1T U.S. ecommerce; CAC payback now exceeds 12 months for 60% of DTC brands; retention is the only sustainable lever.
The 5 AI workflows we ship most often for e-commerce & dtc brands
- AI customer service deflecting 50%+ of tickets across email + chat + SMS
- Personalized product recommendations + bundling models
- Auto-generated product descriptions + alt text at SKU scale
- Returns triage + fraud-detection scoring
- Email/SMS lifecycle automation with AI segmentation
Outcomes e-commerce & dtc brands typically see
The services we pair with this industry
AI Customer Service Automation
Resolve 40-70% of inbound tickets without a human ever touching them — across email, chat, voice, and SMS — with seamless human handoff when it actually matters.
AI Marketing Automation
Personalize, score, route, and convert every lead — at full marketing volume — without your team becoming a Zapier graveyard.
AI Content Automation
Generate, edit, repurpose, and publish brand-grade content across every channel — blog, social, email, video transcripts — at 10-50x the human-only pace.
AI Integration
Wire AI capabilities into the tools your team already uses — CRM, support, marketing, ops — without ripping anything out.
Built for e-commerce & dtc brands in every state
We serve e-commerce & dtc brands in all 50 U.S. states. Pick your state for local market context, regulatory notes, and case-relevant examples:
Production AI in weeks, not quarters.
No decks. No upsells. Just a working conversation with the people who would actually build what we recommend.