🛒 CASE STUDY · E-COMMERCE
AI Automation for E-commerce Sellers
Listing a hundred SKUs by hand, answering “where is my order?” all day, watching stock and prices manually — that’s not selling, that’s admin. We build AI systems that run the store’s repetitive work while you focus on sourcing, offers and growth.
Where a store owner’s day actually goes
Four jobs repeat every single day — and none of them grow the business.
📝 Listings written one at a time
Titles, descriptions, attributes and meta — copy-pasted from supplier sheets, SKU by SKU.
💬 The same support questions
“Where is my order?” “Can I return this?” “Does it fit?” — answered manually, one at a time.
📦 Stock and prices watched by eye
Sell-outs and competitor price moves discovered after the fact, not before.
⭐ Reviews nobody has time to read
Product defects and best-selling angles hiding inside review text that never gets mined.
What we automate for e-commerce
Seven systems we build most often for stores. All of them sit on top of your existing platform — Shopify, WooCommerce, Amazon, eBay — with a human approving anything customer-facing.
🛍️ Product listings at scale
Supplier sheets and specs become clean titles, descriptions, attributes and SEO meta — in batches, not one at a time.
💬 Support triage and drafted replies
Order status, returns and sizing questions answered from your own policies — drafted instantly, sent after your approval.
⭐ Review mining and responses
Every review read, themes extracted (defects, delivery gripes, what buyers love), replies drafted and social proof surfaced.
📦 Stock and price monitors
Low-stock warnings before you sell out, competitor price drift flagged to Slack — daily, automatically.
🛒 Cart recovery and post-purchase
Abandoned carts and follow-ups segmented and written for the actual product — not one generic blast for everyone.
📊 Sales and ad reporting
Shopify, Amazon and ad data pulled together into one weekly digest — what sold, what burned budget, what to do next.
🔁 Social and marketplace content
One product becomes a week of posts, emails and marketplace variants — formatted per channel.
The engine room
Not a chatbot bolted onto your store — an agent stack that runs, checks and improves the daily work.
🦾 OpenClaw — the orchestration layer
Runs the agents: scheduling, tool access, approvals and hand-offs — with a human in the loop wherever it matters.
🧠 Hermes engine — the learning layer
Every task is evaluated and stored as a reusable skill, so your catalogue, policies and tone get sharper the longer it runs.
🖥️ The control board — one place to watch it work
Every running job, every approval waiting on you, and every hour saved — visible in one place. No black box.
👥 A team of specialist agents
Listing, support, pricing and content agents — each with one job, coordinated by the orchestration layer.
What changes when it’s running
Typical shifts once the systems are live — exact numbers depend on your catalogue size and platform.
- New SKUs go live in days, not weeks — a 200-product drop stops being a project
- Support inbox first-response time drops from hours to minutes, with your approval on the send
- Product defects get caught in review text early, before they become return statistics
- Pricing and stock react to changes instead of being audited after the fact
- The store scales without adding headcount to admin
How we start
- Free 30-minute audit. We look at your catalogue, inbox and ad accounts, and pick the one workflow that pays for itself first.
- Build. Two to four weeks. Agents trained on your products, policies and tone.
- Connect. Shopify, WooCommerce, Amazon, your helpdesk, Slack — plugged in, not replaced.
- Scale. Turn on the next workflow, then the next — each one building on the last.
Proof, not promises
This page describes a store workflow — the systems underneath are the ones we run ourselves:
- Our corporate site was designed, written and shipped by an AI agent team
- Our lead pipeline sources, enriches and scores prospects automatically
- Our content and video workflows run end to end through automated pipelines
Questions store owners ask us
Which platforms do you work with?
Shopify, WooCommerce, Amazon, eBay and most helpdesks. The automation sits on top of your store — we don’t migrate you to a new platform.
Will it answer customers without us checking?
Only if you want it to. Default setup drafts the reply and waits for one-click approval; anything sensitive can be escalated to a human automatically.
How long until we see a difference?
The first workflow is usually live in two to four weeks. Most stores start with listings or support, because that’s where the hours disappear fastest.
Is our customer data safe?
Agents get the minimum access they need, credentials live in a protected store rather than in prompts or logs, and customer-facing messages wait for approval.
What does it cost?
Scoped per workflow, not per seat. The audit tells us which one saves the most hours, and we start there.
Run the store, not the admin
Free 30-minute audit. We’ll tell you which part of your store is worth automating first — and whether it’s worth doing at all.