agentclawGet a free AI audit

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 have to become product pages. Stock counts that never match the 3PL. That is where the week actually goes, and none of it grew the brand. We install AI agents that grind through the routine volume so your team gets back to the work you hired them for.

the manual reality

Your ops headcount scales with order volume. It shouldn't.

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

Most DTC teams answer this the only way they were ever shown: throw more hands at the queue. Then Q4 lands, volume triples, and the same people are typing tracking numbers at 11pm because the alternative was falling behind.

The fix is not another macro and it is not another hire. It is agents that read the ticket, check the order, and do the routine step, with one of your people approving anything that looks off.

  • Order-status tickets answered from live Shopify and carrier data, not a canned macro that ages badly
  • Return requests checked against your policy before a human ever opens the portal
  • Supplier spec sheets turned into consistent product copy across every channel you sell on
  • Inventory counts reconciled across Shopify, Amazon, and your 3PL instead of guessed at
agentclaw · wismo triage

where agents earn their keep

The work your ops team should not be doing by hand

Six workflows we build for e-commerce and DTC teams between 10 and 250 people. Every one starts in draft mode and earns its autonomy only after it proves it is accurate. Nothing goes live on trust.

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 genuinely angry customers go straight to a person with the full history attached. Nobody gets the runaround.

returns

Returns triaged before anyone opens the portal

Every request gets checked against your return window, the order value, and the customer's history. Clean cases get approved and a label issued. Serial returners and high-value items get flagged for a person to make the call. Your team decides the edge cases, not all 200 of them.

product data

Supplier sheets become live product pages

Spec sheets and vendor CSVs turned into PDP copy, size charts, and attribute fields, kept consistent across Shopify, your Amazon listings, and your Google Shopping feed. No more three slightly different versions of the same SKU because three people typed it three times.

inventory sync

One stock truth across store, marketplace, and 3PL

The agent reconciles counts between Shopify, Amazon, and your warehouse system on a schedule, catches mismatches before they turn into oversells, and surfaces low-stock SKUs with sell-through context so the reorder call gets made on time instead of after you stock out.

review management

Every review answered, the ugly ones escalated

Replies drafted for Amazon, Trustpilot, and your on-site reviews in your voice. One-star reviews land on your desk with the order, the support thread, and a suggested make-good already pulled together, so you fix it instead of hunting for context for twenty minutes first.

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 will need already gathered. The thing that ruins your Monday stops ruining your Monday.

how it works

Audit. Install. Run.

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

  1. 01

    Audit your queue and your stack

    We get inside where the hours actually go: your ticket queue, your returns flow, your catalog process, your channel setup. You walk away with a ranked list of what is worth automating, whether or not you ever hire us.

  2. 02

    Install one agent where it hurts most

    Usually support or returns, because that is the highest-volume, most rule-bound queue you own. The agent starts in draft mode, your team reviewing every action, and it does not get to act on its own until its accuracy has earned it.

  3. 03

    Run it, then widen the lane

    We monitor it, tune it, and expand it. Once support hums, the same order and customer data feeds returns, reviews, and inventory. One system that knows your business, instead of five disconnected point tools that don't talk to each other.

The questions every DTC founder asks before trusting a bot with their inbox

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 on their own, the agent writes in your brand voice from your real 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. We are replacing the bad canned answers.

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

Straight answer: yes, the agents need read access to orders, tickets, and customer records to do the job. There is no version of this that never touches your data, and anyone who tells you otherwise is selling you something. What we lock down is scope and accountability. API keys limited to the minimum, issued by you and killable by you, every agent action logged, and an NDA and data processing agreement signed before we connect a thing. We also configure the underlying AI providers on business terms where your data is not used to train anyone's model.

What does this cost?+

Engagements start at $5,000 a month. That covers building, running, and improving the agents. It is a managed system, not a software license you have to babysit yourself. The AI opportunity audit is free and tells you what is worth automating either way. If $5,000 a month is not in the budget yet, start with our free resources. They are genuinely free and they will get you further than you would expect.

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

Those tools fire when X happens, do Y. They cannot read a rambling ticket, weigh a return against a customer's order history, or write product copy from a supplier sheet. Agents handle the work that needs reading and judgment. And if your problem really is trigger-and-action plumbing, we will say so in the audit and tell you to keep using Zapier. It is cheaper and it works. We are not going to sell you a system you don't need.

keep going

Keep going

Find out where your ops hours are really going

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

Book your free audit

We take on companies ready to invest $5,000+/month in doing this properly.