RedCloud Deploys 'Agentic AI' Across Trade Network
After surpassing 100,000 customers, global trade tech company RedCloud has activated an 'agentic AI' layer across its network. The move marks a major deployment of autonomous AI infrastructure aimed at optimizing trade for its network of retailers and distributors.
Agentic AI moves beyond predictive models and recommendation engines to create autonomous systems that execute decisions. In supply chain, this means an AI can identify a disruption, automatically source alternative suppliers, negotiate terms, and place orders without human intervention. RedCloud's deployment aims to give each of its customers a personal AI agent to manage their trading operations. The company's "RedAI Trading Co-Pilot" is built on proprietary transaction data and is designed to provide predictive insights for pricing, inventory, and sales. The system is built in partnership with Amazon Web Services (AWS) and NVIDIA, leveraging their cloud infrastructure and advanced AI models to operate at a global scale. This technology is aimed at tackling what RedCloud estimates is a $2 trillion global inventory gap in the $14.6 trillion fast-moving consumer goods (FMCG) market. RedCloud's core business focuses on digitizing the supply chain for FMCG brands in emerging markets. The platform connects brands, distributors, and local merchants, providing them with real-time data and analytics that were previously unavailable. The company operates in Africa, Latin America, and Asia, serving a network that now includes over 6,700 FMCG brands. The platform's goal is to replace "manual judgement with predictive intelligence," according to CEO and co-founder Justin Floyd. Floyd, a serial entrepreneur with a history of founding tech companies in Silicon Valley and Europe, aims to solve what he sees as a market running on "guesswork" due to fragmented systems. The agentic AI layer is the next step in moving from providing insights to automating intelligent action for its users.
