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SellerClaw
AI agents that run your online stores automatically.
What it does
• Sources trending products and parses messy supplier invoices or spreadsheets into clean listings automatically. • Manages inventory tracking, multi-channel product publishing, and dynamic pricing strategies in real time. • Launches, monitors, and optimizes advertising campaigns across digital growth channels. • Fulfills customer orders, tracks shipments, and drafts contextual customer support responses.
Why it works
Freemium entry model allows risk-free onboarding with usage-based credit scaling. Supervisor-coordinated multi-agent architecture enables complex multi-step tasks rather than basic rigid rule execution. Human-in-the-loop control levels let operators adjust autonomy from advisory recommendations to full execution. Browser-agent fallback capabilities enable automation across supplier platforms lacking public APIs.
Category: AI & Automation
Team Size: 2-10
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As of 2026
AI & Automation
Revenue: $100k-$1M ARR
AI agents that run your online stores automatically.
Overview
SellerClaw is an autonomous e-commerce platform powered by a coordinated team of specialized AI agents. It handles end-to-end store operations including product sourcing, catalog enrichment, listing creation, dynamic repricing, ad management, and order fulfillment. Designed to operate across multiple sales channels like Shopify and eBay, it functions under customizable human-in-the-loop control rails. The system aims to decouple online retail revenue growth from heavy operational headcount.
HQ: United States
Funding status: Bootstrapped
Revenue source: Subscriptions and usage-based credits
Customer type: B2B
Funding: Bootstrapped
Pricing: Freemium
Tech stack: OpenClaw, liteLLM, Python, React, Cloud Infrastructure
Platform: Web
Integrations: Shopify, eBay, Google Ads, Meta Ads, REST APIs, Browser Automation, OpenClaw
Founder story
SellerClaw was launched in 2026 by co-founders Artem and Kamil, drawing from their background in early e-commerce and retail operations. Recognizing that running multi-channel online stores is a relentless, manual grind, they built a supervisor-driven multi-agent architecture to automate daily business workflows and scale store operations without expanding headcount.
What it does
- • Sources trending products and parses messy supplier invoices or spreadsheets into clean listings automatically
- • Manages inventory tracking, multi-channel product publishing, and dynamic pricing strategies in real time
- • Launches, monitors, and optimizes advertising campaigns across digital growth channels
- • Fulfills customer orders, tracks shipments, and drafts contextual customer support responses.
Who it's for
- Solo E-commerce Founders
- Dropshippers
- Multi-Channel Resellers
- Digital Marketing Managers
Why it works
- Freemium entry model allows risk-free onboarding with usage-based credit scaling
- Supervisor-coordinated multi-agent architecture enables complex multi-step tasks rather than basic rigid rule execution
- Human-in-the-loop control levels let operators adjust autonomy from advisory recommendations to full execution
- Browser-agent fallback capabilities enable automation across supplier platforms lacking public APIs.
Growth strategies
- Leveraging viral product- led growth within e-commerce and dropshipping communities
- Expanding direct platform integrations across major marketplaces like Shopify and eBay
- Providing scalable cloud- hosted and self-hosted deployment options
- Continuous feature expansions targeting complex supply chain data workflows
Alternatives
Comparison overview
- [Deploys autonomous multi-agent teams coordinated by a supervisor model rather than traditional rigid automation triggers , Utilizes specialized browser-action capabilities to interact with supplier portals lacking direct public APIs , Offers configurable human-in-the-loop safety rails ranging from advisory prompts to full execution]