StoreClaw
Grow your store profits with agents that know how to sell
2.2K followers
Grow your store profits with agents that know how to sell
2.2K followers
StoreClaw is the first AI commerce platform with agents that know how to sell, so you can make more money with less effort and less stress. Connect StoreClaw to your existing store and it will study your numbers, current sales figures, and growth trajectory, and then offer proactive suggestions that it can execute on your behalf — once you give it your approval. Ask StoreClaw how your business is doing any time, anywhere. Sell more with less stress: StoreClaw.
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Launch Team / Built With
DIY UX Test
Nice launch. Curious how StoreClaw decides what to surface first — does it prioritize by revenue impact, or by how easy a change is to execute? The "study the numbers, then act on approval" flow feels like exactly the right shape for this. Congrats to the team.
StoreClaw
@oleksii_sekundant Thanks for the kind words! StoreClaw prioritizes suggestions by revenue impact first, and intelligently weights them by execution difficulty to show you the most profitable and actionable optimizations upfront. It’s perfectly aligned with the “study the numbers, then act on approval” workflow. Thanks for your congratulations, and we’d love your feedback after you try it!
StoreClaw
StoreClaw
@oleksii_sekundant Thanks — and you read the flow right. On prioritization: neither pure impact nor pure ease works on its own. Impact-only surfaces risky big swings; ease-only surfaces busywork. The engine ranks on expected impact × confidence × reversibility — so the first things surfaced are high-confidence, low-blast-radius wins that compound (listing health, content gaps, lifecycle, search visibility) before it touches load-bearing levers like pricing. Bigger swings come later in the trust curve.
Agnes AI
Huge congrats — this space definitely needs better operational tooling. Does StoreClaw eventually learn brand-specific patterns over time, or are workflows mostly template-driven today?
StoreClaw
@cruise_chen Thanks so much for the congratulations! StoreClaw offers ready-to-use intelligent templates today, while it continuously learns brand-specific patterns and data behaviors to adapt to your store style, Listing habits, pricing strategies and operational preferences over time. Feel free to try it out!
StoreClaw
StoreClaw
@cruise_chen Thanks. Honestly, both — by design. Skills give the engine a strong baseline so it's productive day one, no "wait six weeks to learn your brand" tax. Then brand-specific patterns layer in over time: voice, what's worked in your category, approval patterns, which playbooks have hit. Template-driven day one, increasingly brand-specific from there. What we deliberately avoid is making operators wait for a learning curve before the engine earns its keep.
Curious whether the platform could also be useful for offline or hybrid stores by connecting POS sales and customer trends alongside ecommerce data.
StoreClaw
@abhinav_naithani_b24es1012_ Absolutely,it’s fully applicable.
StoreClaw
@abhinav_naithani_b24es1012_
Great question, would definitely encourage you to try it out and see how it fits your setup, happy to explore your specific use case as well. Thanks for the thoughtful question and for checking us out.
StoreClaw
@abhinav_naithani_b24es1012_
it works perfectly and can be applied as needed.
Copilot is the wrong metaphor for what most sellers actually need. Autonomous crew member is closer. Seems like that's what this is.
StoreClaw
@antler_kaku
Most ecommerce tools still assume the founder wants to manually coordinate everything. This one stands out here is reducing the operational burden itself.
StoreClaw
@antler_kaku Nailed it. "Copilot" still assumes you're flying the plane. Operators don't need more suggestions in their ear — they need the work done. Crew member is the right mental model.
StoreClaw
@antler_kaku
When AI moves from recommendation to action, it fundamentally changes how teams are structured and how much work a small team can realistically handle. Really appreciate you seeing that shift
Tate-A-Tate
Huge congrats on the launch! Excited to see what "autonomous" actually looks like at scale for e-com sellers.
StoreClaw
@eeeeeach
Really appreciate that! We built StoreClaw to move beyond “AI suggestions” and actually handle execution for sellers — from product sourcing to store ops and optimization.
This launch is just the beginning, but we’re excited to finally show what autonomous commerce can look like at real scale. Looking forward to sharing more wins (and lessons) as sellers start pushing it in production 🚀
StoreClaw
@eeeeeach Appreciate it! The demo version of autonomous is easy — the at-scale version is where most tools quietly break. That's the bar we're holding ourselves to.
StoreClaw
@eeeeeach
I've used Shopify Magic and Amazon's own AI tools. They're both surface-level — autocomplete for listings, basic analytics framing. StoreClaw running actual commerce decisions in the background is a completely different scope of ambition.
Genstore.ai
Congrats to the whole team — excited to see an engine that connects Amazon, Shopify, and DTC in one place finally exist.
StoreClaw
StoreClaw
@nina563 Thanks a lot for your warm wishes and support! We’re delighted to build this all-in-one solution covering Amazon, Shopify and DTC stores. We will keep polishing cross-platform functions to help merchants manage multi-channel businesses more effortlessly.
StoreClaw
@nina563 Thanks Dan — appreciate the support from the Genstore team.
Surgeflow
Congrats on the PH launch, StoreClaw! 🚀
Finally an AI commerce platform where agents actually do the work inside your store (bulk meta edits, alt text, backlinks, product copy) instead of just telling you what to copy-paste. The MCP integration is a game-changer. 👏
Love the "proactive plan + human approval" flow, and 30+ prebuilt skills out of the box. 300 free credits to spin up a full storefront + SEO fix across 12 skills? That's seriously generous and shows confidence in your product.
One practical suggestion from someone who's worked with multi-channel sellers: when the same agent optimizes across Shopify, Amazon, and eBay, each platform has different rules (title length, keyword weighting, tone). Could you add a "channel-by-channel diff preview" before execution? Let sellers see exactly how a product's title/description changes on each platform, so they can catch cases where a "universal" optimization hurts conversion on one channel. Also, if agents could learn from each store's historical conversion data to adjust optimization aggressiveness (e.g., leave top sellers alone, test more on slow movers), that would reduce anxiety and boost trust.
Question for the team: do you currently support setting different selling goals per product line (e.g., clearance items get discount-driven suggestions, new arrivals get SEO-heavy pushes)? If yes, highlight it more. If not, any plans to add it? Would love to hear your thinking. 😊
Congrats again — can't wait to see what crazy growth hacks sellers unlock with StoreClaw!
StoreClaw
@rocsheh
Thanks a lot for the thoughtful feedback, Zepeng She， especially the channel-by-channel diff preview idea, that’s very aligned with how we think about multi-platform safety and control. Cross-channel normalization is one of the trickiest parts, so making changes transparent per platform is definitely something we’re exploring.
On differentiated goals: not fully exposed as a product setting yet, but the underlying direction is exactly that different optimization strategies based on product intent (clearance vs. hero SKU vs. new launch). It’s on the roadmap as we expand from “single-plan optimization” to “portfolio-level control.”
Really appreciate you digging into the practical edge cases, that’s exactly where the system needs to be strong.
StoreClaw
@rocsheh Thank you so much for the sincere recognition and professional advice!We’ll keep polishing the product to fit diverse operational needs, really grateful for your great support.
StoreClaw
@rocsheh Really appreciate such a thoughtful take. We’re focused on giving merchants real execution power across channels, while keeping control and clarity at the center of every action. Excited to keep evolving this with feedback like yours and push the boundaries of what commerce agents can do.
Would love for you to try it out and see it in action on your own setup.