Launching today
Running even one online store is a full-time job. SellerClaw is a team of AI agents that runs it for you: specialized agents for product sourcing, store management, and advertising, coordinated by a supervisor you direct. Tell it what to sell — the agents build listings, manage ads and pricing, and handle fulfillment and support across Shopify, eBay, and more. You stay in control: every action is visible and approvable, and you set how much runs on its own. Free to start.
RankSpot
Congrats on the launch, team! Can it work with any (even custom) stores or only with the integrations that you have (ebay, shopify, etc)?
SellerClaw
@danshipit
Thanks for the question! Right now it works with our existing set of integrations, eBay, Shopify, and the others, which is fixed for the moment, rather than any arbitrary custom store.
That said, we already have a roadmap of marketplaces and ERP systems we're planning to add soon. And since we're still in active development, we're genuinely open to requests, so if there's a specific platform you'd want supported, tell us. We'd rather hear it now while we can still shape what gets built and tailor solutions to what customers actually need.
What store are you running? Happy to note it down.
SellerClaw
@danshipit @tolstov_gleb
One thing to add: even without a native integration, the agent can still help on your platform. It can always advise — step-by-step instructions, recommendations, troubleshooting for any store, since that's just knowledge, not an integration. And because it runs on a browser-capable runtime, it can in principle operate a store the way a person would — through its web admin — even before we build a formal integration. That browser path isn't as deep or reliable as our native API integrations, but it means "not on the list" doesn't mean "can't work with it."
SellerClaw
@danshipit Beyond the listed integrations, SellerClaw can work through browser automation when an API isn't available. So it's not locked to the platforms on the list. Custom setups depend on what access you can give it.
Lovon AI therapy
SellerClaw
@ponikarovskii Shopify will almost certainly build something. When they do, it'll work well for sellers who live entirely on Shopify. The sellers we're building for mostly don't. SellerClaw runs across Shopify, eBay, and Amazon simultaneously. Same SKU, different rules on each channel, inventory state that has to stay consistent across all of them. A Shopify-native tool doesn't coordinate across those boundaries. I ran a cross-border platform with over a thousand sellers. Most of them were on multiple channels. The hard problems were never inside any single one.
SellerClaw
@ponikarovskii Appreciate that, and it's the question we ask ourselves too.
Shopify could ship a native tool, but it would only ever see Shopify. The whole point of what we're building is cross-platform: repricing and sourcing across Shopify, eBay, and CJ in one place. A seller competing on eBay's Buy Box or pulling margin from CJ can't get that from a Shopify-only feature, by definition.
Platforms optimize for their own ecosystem. We optimize for the seller wherever they actually sell. That gap is the business.
SellerClaw
@zaid_mallik1 Great question, and you're right that the coordination is the hard part.
We run a supervisor architecture. There's a supervisor agent that owns the shared view of the business and sits above four specialists: Product Scout for sourcing, an eBay manager, a Shopify manager, and an Ads manager. The specialists don't talk to each other directly. The supervisor assigns the work, hands each one the context it needs, checks the results, and resolves conflicts when two of them would otherwise act on stale or competing info.
So there's one source of truth at the top instead of four agents each guessing at reality. The Product Scout finding a SKU, the channel managers pricing and listing it, the Ads manager promoting it, all of that stays in sync because the supervisor is the one coordinating, not the agents negotiating among themselves.
@tolstov_gleb The supervisor pattern solves coordination, but it also creates a central decision-maker.
Have you found the supervisor becoming a bottleneck as workflows grow more complex, or does most of the scaling challenge still come from keeping the underlying business state consistent across systems?
SellerClaw
@zaid_mallik1 Great question — we’ve found the same thing. The hard part is usually not the individual agent skills, it’s keeping them aligned on one shared state.
Our approach is to have a supervisor agent coordinating specialized agents. That supervisor manages task routing, shared context, and execution order, while the underlying systems remain the source of truth for things like inventory, pricing, and order state. So instead of every agent maintaining its own view of reality, they operate through a coordinated layer that keeps decisions and actions reconciled.
The most useful part here is that the workflows are connected.
A lot of tools help with one piece: descriptions, support replies, but store owners still have to move btw supplier portals, Shopify, ads, customer messages, etc.
If SellerClaw can handle those handoffs reliably, it solves a real operations problem.
SellerClaw
@natalie_ermishina thanks!
SellerClaw
@natalie_ermishina Thank you, you've put your finger on exactly the problem we're solving. Running a store today means a never-ending loop of manual handoffs: copy from the supplier portal, paste into Shopify, jump to ads, switch to customer messages, repeat. The single-purpose tools help with one slice but leave you stitching everything together by hand.
That's the whole point of connecting the workflows with agents, so the daily grind of moving things between systems just runs itself. Appreciate you seeing that.
Does a constraint I give to one agent automatically propagate to all relevant agents? E.g. if I tell the supervisor to stop sourcing a product, will it automatically know to pause ads for it too?
Good luck with the launch!
SellerClaw
@daria_lir_m
Good question, and yes. A couple of cases to separate out:
If the Product Scout is sourcing a product for the first time, there's nothing to pause, it isn't in your store yet, so there's no listing and therefore no traffic running against it, internal marketplace or external (Facebook, Google). No listing, no ads.
The more interesting case is a product we've already imported from a dropshipping platform and started advertising. If we then get a signal via API that the item has gone out of stock at the suppliers, the ad campaign stops automatically so you're not burning budget driving traffic to something you can't fulfill. Same principle as before, the whole system is wired around profitability, so a constraint on availability propagates straight through to ad spend.
Thanks, and appreciate the kind words on the launch!
SellerClaw
@daria_lir_m The Supervisor is the coordination layer, so you're not managing each agent separately. When you direct it to stop sourcing a product, it knows what the other agents are running. Whether the ad pause happens automatically or surfaces as a recommended action depends on how the workflow is configured. That's worth testing with a real case during onboarding.
Looks interesting. For me, the most important thing would be knowing what the AI is doing and why. I'd want to see the reasoning behind things like price changes, ad spending, or supplier choices, and be able to approve bigger decisions before they happen.
If I can easily track the results and stay in control when needed, I'd be much more comfortable letting the AI run parts of my store👍
SellerClaw
@valeriya_vovk That's the core of how SellerClaw is built. Every action is logged with context, so you can see what ran, what changed, and why. For bigger decisions, advisory mode sends them to your review queue before anything goes live. Results come through the dashboard and agent reports, so you're not digging across platforms to understand what's working. The autonomy level is yours to set and adjust anytime.
SellerClaw
@valeriya_vovk This is exactly the part we obsess over, and it maps really well to the day-to-day of managing marketplaces.
Every meaningful action comes with its reasoning attached: why a price moved, why ad spend shifted, why a supplier was chosen, all tied back to the unit economics behind it. So instead of manually pulling numbers to justify a decision, you have the "why" already documented. The bigger moves sit behind your approval: the agents propose, you confirm, and you set how much autonomy to hand over.
Where this really pays off in your role is reporting. SellerClaw rolls everything up into integrated reporting you can slice different ways, by channel, by SKU, by ad spend vs. margin, by period. So when leadership asks "what changed and why," you're not stitching together exports from five tools at 11pm. You get a single, defensible view of what the agents did, what it cost, and what it earned, which makes the conversation with management much easier.
Track the results, stay in control, and have the numbers ready when you need them. That's the goal.
For me the key question is control. If SellerClaw can source products, publish listings, place supplier orders and reply to customers, I’d want clear guardrails for refunds, margins, ad spend and publishing. The Advisory mode makes sense as the first step.
SellerClaw
@andrew_white_13 Advisory mode covers publishing and orders: every action goes to your review queue before anything runs. Budget rails handle ad spend. Margin floors and refund-specific controls are on the roadmap. Appreciated the specifics. That's useful input for us.
SellerClaw
@andrew_white_13
Control is the right thing to anchor on, it's exactly how we think about it too.
Advisory mode is the foundation: publishing and supplier orders both flow into a review queue, so nothing executes until you approve it. Ad spend runs inside budget rails you set, so the agents can't exceed what you've allowed. Margin floors and dedicated refund controls are on the roadmap, the same guardrail logic, applied to those two areas next.
The principle is simple: the agents do the heavy lifting, but you set the boundaries and hold the final say on anything that matters. Really appreciate you spelling out the specifics, refunds, margins, ad spend, publishing, that's genuinely useful input as we build the guardrail layer out.