RedCloud Activates AI Across Trade Network

RedCloud's AI integration targets what its CEO, Justin Floyd, calls a "$2 trillion inventory gap"—the global issue of retailers having empty shelves while warehouses nearby are overstocked. The company aims to replace reactive supply chains, which rely on historical data, with a predictive "pull" model based on real-time demand signals from its network. The 'agentic AI' layer consists of multiple specialized AIs working in concert, rather than a single generalized model. For trade, this means dedicated agents for tasks like document validation, compliance checks, and fraud detection, designed to create a defensible audit trail for every transaction. This approach automates document-heavy workflows and aims to reduce costly human errors. Co-founded by serial entrepreneur Justin Floyd, RedCloud has focused on digitizing trade for brands, distributors, and local merchants, primarily in emerging markets across Africa, Latin America, and Asia. The company went public on Nasdaq (RCT) in March 2025 and operates two main trade networks: Red101 for retailers and TradeX for bulk trading between distributors. The AI is trained on a significant volume of real-world transaction data. For its 2025 fiscal year, RedCloud reported that the total value of transactions on its platform grew 31% to $3.2 billion, with cumulative trades reaching $6.9 billion. This data feed is used to power the platform's predictive analytics and algorithmic trading recommendations. Financially, the company announced record preliminary revenues of $53.7 million for full-year 2025, exceeding its previous guidance. Looking ahead, RedCloud has raised its 2026 revenue forecast by 20% to $120 million, citing momentum from its expanding joint ventures and the commercial launch of its agentic AI capabilities.