ai agents for e-commerce & dtc

You built a brand. Your week goes to tickets, returns, and spreadsheets.

Where-is-my-order tickets. Return approvals. Supplier sheets that need to become product pages. Stock counts that never match the 3PL. That's where the hours go. We install AI agents that work the routine volume so your team gets back to the brand.

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the manual reality

Ops headcount scales with order volume. It shouldn't.

Every order you ship generates work that has nothing to do with growth. A WISMO ticket lands in Gorgias. A return request needs a policy check. A supplier spreadsheet has to become a product page. A stock count in Shopify disagrees with Amazon and with your 3PL, and someone has to figure out which one is lying.

Most DTC teams solve this the only way they know: more hands in the queue. Then Q4 hits, volume triples, and the same people are answering tracking questions at 11pm.

The fix isn't another macro or another hire. It's agents that read the ticket, check the order, and do the routine step — with a human approving anything unusual.

Order-status tickets answered from live Shopify and carrier data, not canned macros
Return requests checked against your policy before a human ever opens them
Supplier spec sheets turned into consistent product copy across channels
Inventory counts reconciled across Shopify, Amazon, and your 3PL

agentclaw · workflow run

$ claw run invoice-intake

→ 47 documents queued

→ extracted · matched · posted

✓ done in 3m 12s · 0 exceptions escalated

where agents earn their keep

The work your ops team shouldn't be doing by hand

Six workflows we build for e-commerce and DTC teams between 10 and 250 people. Each one starts in draft mode and earns autonomy as it proves accurate.

customer support

WISMO tickets answered from real order data

The agent reads the ticket in Gorgias or Zendesk, pulls the order and tracking from Shopify and the carrier, and drafts a reply in your brand voice. Chargebacks, damage claims, and angry customers route straight to a human with the full history attached.

returns

Returns triaged before anyone opens the portal

Each request gets checked against your return window, the order value, and the customer's history. Standard cases get approved with a label issued; serial returners and high-value items get flagged for a person to decide.

product data

Supplier sheets become live product pages

Spec sheets and vendor CSVs turned into PDP copy, size charts, and attribute fields — consistent across Shopify, your Amazon listings, and your Google Shopping feed, instead of three slightly different versions of every SKU.

inventory sync

One stock truth across store, marketplace, and 3PL

The agent reconciles counts between Shopify, Amazon, and your warehouse system on a schedule, flags mismatches before they turn into oversells, and surfaces low-stock SKUs with sell-through context so reorder calls get made on time.

review management

Every review answered, the ugly ones escalated

Responses drafted for Amazon, Trustpilot, and your on-site reviews in your voice. One-star reviews arrive at your desk with the order, the support thread, and a suggested make-good already pulled together.

marketplace ops

Seller Central stops being a daily fire drill

Buyer messages answered inside Amazon's response window, suppressed listings and stranded inventory caught the day they happen, and A-to-z claims flagged with the evidence you'll need already gathered.

how it works

Audit. Install. Run.

No platform migration, no rip-and-replace. Agents plug into the stack you already run.

01
Audit your queue and your stack
We map where the hours actually go: your ticket queue, returns flow, catalog process, and channel setup. You get a ranked list of what's worth automating, whether or not you hire us.
02
Install one agent where it hurts most
Usually support or returns — the highest-volume, most rule-bound queue. The agent starts in draft mode, with your team reviewing every action until its accuracy earns autonomy.
03
Run it, then widen the lane
We monitor, tune, and expand. Once support hums, the same order and customer data feeds returns, reviews, and inventory work. One system instead of five disconnected point tools.

Straight answers

Will customers be able to tell they're talking to AI?+

Where replies are drafted for approval, a person on your team hits send, so no. Where replies go out automatically, the agent writes in your brand voice from your actual policies and live order data, and anything ambiguous or emotional routes to a human. The canned-bot feel customers hate comes from bad canned answers, not from automation itself.

You'd have access to our customer and order data. How is that handled?+

Honestly: yes, the agents need read access to orders, tickets, and customer records to do the work. There's no version of this that doesn't touch your data. What we control is scope and accountability — API keys limited to the minimum, issued by you and revocable by you, every agent action logged, and an NDA and data processing agreement signed before we connect anything. We also configure the underlying AI providers on business terms under which your data isn't used for model training.

What does this cost?+

Engagements start at $5,000/month. That covers building, running, and improving the agents — it's a managed system, not a software license you have to babysit. The AI opportunity audit is free and tells you what's worth automating either way. If $5,000/month isn't in the budget yet, start with our free resources; they're genuinely free and they'll get you further than you'd expect.

We already run Shopify Flow, Zapier, and helpdesk macros. What's different?+

Those tools fire when X happens, do Y. They can't read a rambling ticket, weigh a return against a customer's order history, or write product copy from a supplier sheet. Agents handle work that requires reading and judgment. And if your problem really is trigger-action plumbing, we'll tell you that in the audit — keep using Zapier, it's cheaper and it works.

Keep going

Customer support automation

How a support queue goes from swamped to steady without losing your voice.

Inventory sync automation

Keeping Shopify, marketplaces, and your 3PL telling the same story.

Review management automation

Every review answered, the bad ones escalated with full context.

Custom AI agents

What an agent actually is, and how we build and run them.

Find out where your ops hours are really going

Book a free AI opportunity audit. We'll map your ticket queue, returns flow, and channel ops, then show you which workflow an agent should own first. Same team. Double the output.

Book your free audit

We take on companies ready to invest $5,000+/month. Not there yet? Our free resources are genuinely free.