Launched this week
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.
@tolstov_gleb Really impressive launch. Curious whether the agents coordinate on inventory too, like if a SKU sells out on Shopify, does the eBay manager know to pull or adjust the listing?
SellerClaw
@abhiranjan_mehta Yes — that’s configurable when you connect the channels. You can define both the sync preference and the source of truth for inventory.
So if Shopify is set as the source of truth, then if a product sells out there, SellerClaw can automatically sync the eBay inventory to 0 or adjust the listing accordingly. That way the agents stay coordinated around one inventory state instead of each channel drifting on its own.
SellerClaw
@abhiranjan_mehta
Yep, inventory coordination is built in, and you control how it behaves. When you connect channels you set two things: the sync preference and which channel is the source of truth.
So if Shopify is your source of truth and a SKU sells out there, the eBay manager doesn't have to guess, it pulls or zeroes the listing automatically to match. One inventory state across channels, instead of each one drifting and overselling. The oversell-then-cancel spiral is exactly what this is meant to kill.
SellerClaw
@tolstov_gleb Thanks! Cross-channel inventory sync is a core part of what we're building — that exact scenario is one of the first things we tackled.
FlowMarket
Congrats on the launch! SellerClaw tackles a real pain point, managing multiple e-commerce channels is overwhelming, and having a team of AI agents handle the heavy lifting while keeping you in control is a smart approach. My question for you: how does the supervisor agent resolve conflicting priorities between specialized agents, say when the advertising agent pushes for higher spend while the pricing agent recommends thinner margins?
SellerClaw
@davitausberlin The Supervisor agent doesn't resolve this unilaterally. When two agents are pulling in opposite directions on something consequential, it surfaces the conflict for your approval rather than making the call. Neither agent can push through an irreversible action without confirmed context.
You set the budget rails and the goals each agent operates within. Genuine conflicts outside those rules come to you.
SellerClaw
@davitausberlin Great question. The short answer: the supervisor resolves it through unit economics, not by picking a favorite agent.
The moment we list a product, we map every non-recoverable cost: category commission, fulfillment and shipping. (Those differ by model, FBA carries Amazon's own fees, while self-fulfilled orders on Shopify or other channels run on USPS, UPS, FedEx, or FBA rates depending on item dimensions and the state you ship from.) Once that full P&L picture is in place, the supervisor knows the allowable ACoS/TACoS and exactly how much of the margin can go to ads.
So in your example, profitability comes first. The pricing and advertising agents don't fight, they operate inside the same economic envelope. The system won't green-light ad spend that pushes a SKU into the red. The one deliberate exception is an investment window, where the supervisor may approve heavier ad spend on purpose to gather early reviews and build organic ranking that pays back later. But that's a conscious call, not an agent winning a tug-of-war.
In short: economics sets the boundaries, and the agents optimize within them rather than against each other.
The supervisor model is interesting how does it handle conflicting priorities between agents? Like if the pricing agent wants to drop margins to compete and the ad agent is simultaneously scaling spend who wins and how does the user get notified before it costs them money?
SellerClaw
@alexander_gray3 Neither agent acts outside the budget rails you set. If there's a conflict outside those parameters, the Supervisor surfaces it for your approval before anything runs. Notifications come through Telegram.
SellerClaw
@alexander_gray3 That’s exactly what the supervisor layer is for. In a true conflict, it should fall back to the user for final resolution rather than letting two agents push the business in opposite directions.
In practice, though, that situation should usually be prevented earlier: the supervisor first processes the user’s goals, constraints, and guardrails, resolves potential tradeoffs, and only then assigns final tasks to specialized agents. So the pricing agent and ad agent are normally not acting as independent power centers — they’re executing within one coordinated strategy.
SellerClaw
@alexander_gray3
The scenario you describe is actually one the supervisor is designed to never let happen. A margin cut and an ad scale-up only collide if two agents are optimizing in isolation. In our model they aren't, the supervisor reconciles goals and constraints up front, so the pricing and ad moves are already weighed against each other before either one executes.
When something genuinely can't be reconciled inside your guardrails, it stops and comes to you, with the tradeoff spelled out, before money moves. You're not finding out after the spend hit your card. Think of the supervisor less as a referee breaking up fights and more as the planner that keeps the fight from starting.
On notifications specifically: anything that crosses a threshold you've set surfaces for approval rather than running silently. Curious what alerting you'd want to see there, since that's an area we're actively shaping.
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.
SellerClaw
@natalie_ermishina Thank you! "Connected workflows" is the key phrase — isolated tools are everywhere, but the gaps between them is where time gets lost.
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.
SellerClaw
@valeriya_vovk Thank you! Approvals before big decisions is something we take seriously.
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.
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.