DTC brands
Support tickets scaling faster than team. Content demand outpacing writers.
Support tickets deflected by 60–80%. Content output 10× without new hires.
Industry — E-commerce & Retail
E-commerce at scale means support tickets, content demand, and data that outgrows your team. We deploy AI that answers catalog questions 24/7, generates ad copy at SKU scale, mines reviews for product insight, and models churn — so your team focuses on brand and buying, not repetitive work.
Every engagement ends with something you can point at. Code that runs, documents that inform decisions, teams that got better. No fluff, no deck-only deliverables.
24/7 agent trained on your full catalog, policies, shipping, and returns. Handles 60–80% of tickets without human touch. Escalates to humans cleanly when it matters.
Product descriptions, ad headlines, meta descriptions, email subject lines — generated at SKU scale in your brand voice. Scales from 100 products to 100,000.
AI reads every review, pulls themes by product, flags quality issues, surfaces feature requests. Your buying team sees what customers actually think — at scale.
Predict which customers are at risk of not coming back. Trigger personalized save campaigns. Model lifetime value per customer segment and channel.
Product recommendations, email content, landing page copy — all personalized to customer segment and intent. Works with your existing stack (Klaviyo, Shopify, Segment).
Independent brands start at $25,000 for Implementation. Multi-channel retailers and larger catalogs require custom scope. All engagements include integration with your platform (Shopify, WooCommerce, custom) and analytics stack.
Review your platform, catalog, ticket volume, ad spend, and customer data. Identify the 3 highest-leverage automations for your specific business.
Pick the first workflow (usually support or content). Architecture doc, integration plan, brand voice guide. Reviewed before build.
Build agents, content pipelines, integrations, analytics. Shadow-mode testing before going live with customer-facing agents.
Train your team on tools, playbooks, and monitoring. 90 days of support to tune against real traffic and customer feedback.
Support tickets scaling faster than team. Content demand outpacing writers.
Support tickets deflected by 60–80%. Content output 10× without new hires.
Fragmented data across Shopify, Amazon, wholesale. No unified customer view.
Unified customer intelligence across channels. AI-driven insights your buying team actually uses.
Tens of thousands of SKUs to describe, categorize, merchandise. Manual process impossible.
Every SKU gets high-quality copy, categorization, and merchandising — at catalog scale.
We don't sell effort. We sell results. Every engagement is scoped against specific outcomes — and we measure them before and after.
Tell us what you're trying to solve. We reply in 24 hours with a read on feasibility and scope. No decks, no slow proposals.