Ghost operates an inventory distribution OS for retail brands, built on PostgreSQL + AWS + React/Next.js with NestJS backends and NATS messaging. The company is actively adopting Claude, Cursor, and GitHub Copilot across development — a signal they're prioritizing AI-augmented workflows to compress engineering cycles. Project backlog reveals heavy investment in data infrastructure modernization (warehousing, accuracy, consolidation) paired with LLM-based feature deployment, suggesting they're using AI to solve internal data fragmentation while building AI-native surfaces for customers.
Ghost provides an inventory distribution platform and operating system for retail brands, enabling them to route products to the right sales channels globally. The platform gives brands visibility into true inventory value and control over where merchandise sells. Founded in 2021 and headquartered in Los Angeles with an office in New York, Ghost serves mid-market and enterprise retail operations. The company operates across supply-chain layers — WMS and OMS optimization, international 3PL logistics, and buyer-facing marketplace surfaces — and is scaling toward international growth while managing resource and execution constraints inherent in cross-border inventory flows.
Ghost's backend runs on PostgreSQL, AWS, and Node.js/NestJS with NATS for event messaging. Frontend is React and Next.js. They've integrated Claude for AI features, NetSuite for enterprise financial data, and HubSpot for CRM workflows.
Active projects include data infrastructure modernization, data warehousing, AI-augmented development workflows, LLM-based feature deployment, WMS/OMS optimization, and complex multi-user marketplace surfaces for brands and internal operators.
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