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.
SellerClaw
Hey Product Hunt! 👋
Artem here, co-founder of SellerClaw. My journey in e-commerce started when I was 18, selling on Amazon. Later, I co-founded Zonesmart, where we helped over 1,000 sellers scale across borders before exiting in 2022.
Despite all the tech we had, one thing never changed: running a store is a relentless, manual grind. Sourcing, pricing, managing ads, and handling support across multiple channels like Shopify and eBay is a 24/7 job. My co-founder Kamil and I realized that to truly scale, we didn't need more tools - we needed more hands.
That’s why we built SellerClaw - a team of AI agents that actually runs the store for you.
🛠 Key Features:
👉 Specialized Agents - Dedicated AI agents for product sourcing, store management, advertising, and customer support.
👉 The Supervisor Model - You direct a "Supervisor" agent who coordinates the rest of the team.
👉 Multi-Channel - Seamless operations across Shopify, eBay, and more.
👉 Human-in-the-Loop - You stay in control. Every action is visible and can be set for your approval before it goes live. No "rogue" AI pricing.
Who is this for?
- Solo-founders who want to run multiple stores without hiring a massive team.
- Cross-border sellers struggling with local payment methods, customs, and international support.
- Growing brands that want to automate the "boring stuff" to focus on brand strategy.
Our Goal & Offer 🎁 We are in the early stages and launching to real sellers this week. We believe this changes the economics of e-commerce - decoupling revenue growth from headcount.
SellerClaw is free to start, and no credit card is required.
We need your feedback! As we refine our agents, we want to know:
Which part of your e-commerce workflow is the biggest "pain in the neck" that you'd hand over to an agent today?
What specific platforms (beyond Shopify/eBay) should our agents learn next?
We’ll be here all day to answer your questions. Let us know what you think! 👇
@artem_kosilov Congrats on the launch, Just a quick que: when agents operate cross-border, how do you handle multi-currency and local payment method edge cases without forcing the user to manually override per market?
SellerClaw
@swati_paliwal
Thanks! Good question. Short answer: we're not a Merchant of Record, so multi-currency and local payment methods never actually land on our plate.
All the money between buyer and seller moves through the marketplace's own payment rails, not ours. A US seller on Amazon, eBay, or Etsy gets paid straight to their bank account. Sellers in other regions usually settle through the marketplace's payment partner (Payoneer and similar), and currency conversion and local payment edge cases are handled there.
SellerClaw sits on top of that. We automate the day-to-day operations, but we don't touch the financial settlement between the buyer and the marketplace, so there's nothing for the user to override per market.
SellerClaw
@swati_paliwal @tolstov_gleb
One thing to add: beyond settlement, there's the operational layer where we do touch numbers — supplier cost, sell price, margin. The agent keeps each in its own currency and converts the cost into the store's currency when pricing or computing margin, so a 30% margin stays 30% and profit shows in your store's currency. So mixed currencies reconcile even on the part we own.
Most "AI runs your store" pitches mean "AI drafts your listings and reminds you to restock." The multi-channel part is where it gets genuinely hard, because inventory state has to stay consistent across Amazon, Shopify, wherever else, and any lag there turns into oversells or missed repricing windows. Curious whether SellerClaw owns that sync layer directly or sits on top of something like a middleware feed. Also wondering how it handles channel-specific policy differences, like Amazon's title length rules versus what Shopify tolerates, when the same SKU needs to live in both places.
SellerClaw
@fberrez1 SellerClaw connects directly via API where it exists, and through browser automation where it doesn't, without a feed aggregator in between.
Inventory and pricing sync runs through the Supplier Agent on that layer. The lag window question across Amazon and Shopify running simultaneously is a fair stress test and worth a detailed answer in the comments here. On channel-specific content: listings are generated per-channel, not from a single template. How Amazon's title length constraints get handled versus Shopify is a good follow-up to press on.
SellerClaw
@fberrez1
Really good question. On inventory sync: yes, we update stock levels across platforms. If someone buys a unit on Shopify and you're running FBM (fulfillment by merchant), the count on your warehouse drops by one everywhere it's listed.
The nuance is your shipping model. If you use a third-party fulfillment provider, that service usually has its own stock-sync layer already. Where SellerClaw really earns its keep is when you ship from your own warehouse and don't have that middleware, our software handles the cross-channel sync directly. And we also have our own fulfillment solution, so if you want it fully connected, we can wire the fulfillment and the agent together end to end.
On channel-specific policy differences: our agents are trained specifically for the requirements of each platform. They account for the full set of rules a given marketplace imposes and adapt every listing to fit them, so the same SKU lands correctly whether it's on Amazon or Shopify. On top of that, we pull from external data sources to build SEO descriptions, not just the marketplace's own algorithms. Today we use DataForSEO on Shopify, and we're rolling out Helium 10 keyword data for Amazon next, so your listings are optimized against real external analytics and have a shot at ranking number one.
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 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.
Can SellerClaw work with messy supplier portals, or does the catalog need to be structured?
SellerClaw
@maria_tirskaia The harder part in either case is that supplier data mostly gives you availability and price. What you don't get is whether the margin holds after shipping, or whether the product actually has a reason to sell. That part takes selection logic on top, regardless of how the data comes in.
SellerClaw
@maria_tirskaia Both, depending on the supplier. Today we have a full integration with CJ Dropshipping, and that flow is completely automated. We pull the entire product catalog, help you surface trending items or ones that fit your store's niche, and list them straight to Shopify or your marketplace, no manual structuring needed.
More suppliers are on the roadmap right after launch. CJ is just where we've already got the end-to-end flow working.
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.
Mailwarm
This is a big vision. Running a store touches so many moving parts: sourcing, listings, pricing, ads, fulfillment, support. Having specialized agents coordinated by a supervisor makes sense. The key challenge is probably trust and control.
What actions are merchants most comfortable automating first: listings, pricing, ads, or support?
SellerClaw
@thamibenjelloun Most start in advisory mode, which means the agent recommends and the merchant approves everything. What gets handed over first usually comes down to risk tolerance for that specific store. The modes exist precisely because that answer is different for everyone.
SellerClaw
@thamibenjelloun Hey,
What to automate first depends upon the business model and the platform you sell in.
1. The dropshippers need to automate listings and pricing model first since the new products on the supplier end appear every hour. It's a competitive advantage if you can list the product fast, set up a stock control to avoid OOS (out of stock) cancellations, add correct fees, shipping costs and your margin.
2. As to pricing, basically the US market is quite coherent in terms of marketplace fees. Amazon has a referral fee of 15% for most of the categories for years. Here's the top question is to calculate the economy of the listing not to lose your margin. Pricing matters but it's mostly a one-time set up and control of regular deals / discount you're ready to give.
3. Support is mostly applied to Etsy sellers as the platforms requires a day-to-day communicatios between the seller and the buyer and lots of offers have some customizations and made-to-order listings. Here's the agent can take control of it and in this case it's really looking for automation from scratch. The most crititcal here is to create a RAG model and provide an agent with the comprehenive description of the listings so the agent will find the information in your own database instead of googling the incorrect information which may cause a return and seller's costs.
4. Once all the ops questions closed you can keep going with ads. It's sure to be automated once the correct p&l dashboard with all the fees is in front of you and you clearly understand the ACOS & TACOS you can allow.
Best,
Gleb