AI agents and automation built for e-commerce operators.
Over 15 years of e-commerce operations now augmented with agentic workflows. We build on top of Amazon, Shopify, Klaviyo, and the rest of the stack you already run, so AI compounds instead of sitting on a shelf.
Powering AI automation for modern brands
NORTHWIND
lumen.co
Marlow & Field
VOLTA
Kinship®PARALLEL/06Heritage GoodsOAKLINECertified across the stack
- ShopifyPartner
- Amazon AdsVerified Partner
- KlaviyoMaster Partner
- Meta BusinessPartner
- GoogleAds Partner
- TikTokMarketing Partner
AI that ships work, not slideware.
Agentic Sales & Support Agents
Autonomous agents that qualify, recommend, and resolve across every touchpoint.
- AI chat agent for Shopify storefronts (product Q&A, sizing, recommendations)
- Cart-abandonment recovery agent across email and SMS
- Amazon buyer-message auto-responder with human handoff
- Post-purchase support agent (order status, returns, exchanges)
- Voice agent for inbound sales calls (optional)
- Knowledge base built from your PDPs, policies, and historical tickets
Marketing & Creative Automation
AI-generated copy, creative, and intelligence that ship faster than any in-house team.
- AI-generated ad creative variations (Meta, TikTok, Google)
- Listing copy generation and A/B testing (Amazon titles, bullets, A+, Shopify PDPs)
- Review mining for angles, objections, and creative hooks
- Competitor monitoring agent (pricing, listing changes, new ASINs)
- Email and SMS copy generation tied to Klaviyo flows
- AI image generation and editing for variants, lifestyle, and seasonal refreshes
Catalog & Ops Automation
End-to-end workflow automation that eliminates the busywork your team still does manually.
- Auto-generated Amazon listings from a product spec sheet
- Bulk translation and localization across marketplaces
- PDP optimization loops (test, measure, rewrite)
- Inventory and reorder-point agents with Slack or Microsoft Teams alerts
- Buy Box monitoring with auto-repricing rules
- SOP-driven workflow automation (Zapier, n8n, Make)
Forecasting, Reporting & Intelligence
Models and copilots trained on your data, surfaced where your team already works.
- Demand forecasting agents pulling from Seller Central, Shopify, and GA4
- Weekly performance digests auto-written and delivered to Slack or Microsoft Teams
- Anomaly detection on conversion, ad spend, and inventory
- Executive dashboards with natural-language Q&A
- Margin and contribution-profit modeling
- Custom AI copilots trained on your data and SOPs
Fixed monthly retainers. No per-token surprises.
One team owns the prompts, the workflows, and the integrations. You own everything we build, no lock-in and no markup on model costs.
Pilot
For brands testing one or two AI workflows.
- 1 to 2 agents deployed (e.g., support agent + listing generator)
- Knowledge base setup from existing docs and PDPs
- Integration with one channel (Shopify or Amazon)
- Slack or Microsoft Teams alerts
- Monthly review and tuning
- Weekly reporting
Operator
For brands running multi-channel ops who want compounding leverage.
- 4 to 6 agents across sales, marketing, and ops
- Full Shopify, Amazon, and Klaviyo integration
- Custom workflow automation (Zapier, n8n, Make)
- AI creative pipeline (copy and image generation)
- Forecasting and anomaly-detection agents
- Weekly reporting and Slack or Microsoft Teams updates
- Bi-weekly strategy review
Autonomous
For brands above $5M/yr building an AI-native ops layer.
- Unlimited agents across the stack
- Custom copilots trained on your data and SOPs
- Voice and chat sales agents
- Dedicated prompt and workflow engineering
- Real-time dashboards with natural-language Q&A
- On-call agent monitoring and tuning
- Weekly strategy review
All tiers include secure handling of your data, human-in-the-loop checkpoints on customer-facing output, a model-agnostic stack, and full ownership of prompts and workflows. Model usage billed at cost on Operator and Autonomous tiers.
What operators ask before deploying AI.
Do you replace my team with AI?
No. We augment your team. Agents take repetitive work off humans so your team focuses on strategy, brand, and the calls that actually need a person. Every customer-facing agent runs with human-in-the-loop checkpoints by default.
Whose data is it?
Yours. We use enterprise model endpoints that do not train on your data, store your knowledge base in infrastructure you control, and hand over all prompts, workflows, and integrations when an engagement ends.
Which AI models do you use?
We are model-agnostic and route by task and cost. That typically means GPT, Claude, and Gemini for reasoning and writing, plus open-source models for high-volume classification. We benchmark per workflow rather than locking into one provider.
How long to deploy a first agent?
Pilot agents go live in 2 to 4 weeks. Week 1 is scoping and knowledge base prep, weeks 2 and 3 build and connect to your stack, week 4 is shadow mode and tuning before we hand the keys over.
Will this work with my current Shopify, Amazon, and Klaviyo stack?
Yes. Everything we deploy sits on top of the tools you already run. We integrate via official APIs, Zapier, n8n, or Make and never ask you to rip and replace working infrastructure.
What about hallucinations and brand voice?
We use retrieval grounding so agents only answer from your approved knowledge base, brand-voice prompts derived from your existing copy, and human-in-the-loop review on any customer-facing output during ramp. Agents flag uncertainty and escalate instead of guessing.
What does ongoing management look like?
We monitor agent quality, retrain on new SKUs and policies, tune prompts as model providers change behavior, and review performance with you on a fixed cadence. AI is not set-and-forget, the value compounds when someone owns it.
Can we start with one workflow and expand?
That is exactly how Pilot works. Most brands start with a single high-value workflow (support, listing generation, or weekly reporting) and add agents quarterly as ROI proves out.
Let's deploy your first agent.
Tell us about your stack and where your team is bottlenecked. We'll come back with a scoped pilot and a 4-week deployment plan.