Agentic Commerce Goes Live in Europe
European paytech giant Nexi Group is partnering with Google Cloud to roll out "agentic commerce," using AI agents to automate transactions. Meanwhile, global trade network RedCloud just activated its own agentic AI layer after surpassing 100,000 customers, signaling a major shift toward autonomous B2B operations.
The architectural shift to support agentic commerce is leaning heavily on MACH principles—Microservices, API-first, Cloud-native, and Headless. This modular, scalable foundation is critical for platforms to handle the unpredictable, high-volume requests from autonomous AI agents, moving beyond monolithic systems designed for human-driven web traffic. Underpinning these new systems are open standards like the Universal Commerce Protocol (UCP) and the Agent Payments Protocol (AP2). UCP creates a common language for AI agents to interact with any merchant's backend for discovery and checkout, while AP2 secures transactions using cryptographically-signed "Mandates" as verifiable proof of a user's intent and authorization. In logistics and supply chain, agentic AI is already being deployed for tasks like autonomous document collection, real-time transport tracking, and handling simple discrepancies without human intervention. Agentic systems are also being used to dynamically balance warehouse throughput by coordinating packing, sorting, and outbound tasks to meet carrier cutoffs and optimize labor. The return on investment is becoming clearer, with one ABI Research study forecasting a 60% ROI after five years for agentic AI systems in automotive manufacturing supply chains. Gartner predicts that by 2030, half of all cross-functional supply chain management solutions will utilize intelligent agents to execute decisions autonomously. RedCloud's agentic AI layer, "RedAI," is specifically targeting the fast-moving consumer goods (FMCG) supply chain. Its platform, built on technologies including NVIDIA AI models and Amazon Web Services, is designed to autonomously optimize inventory, working capital, and demand forecasting by analyzing proprietary trading data. The RedAI platform is being rolled out as a "Trading Co-Pilot" for its FMCG customers, providing predictive insights and actionable recommendations directly into their trading workflows. This approach aims to close a $2 trillion global inventory gap caused by a lack of intelligence at the point of decision rather than a lack of infrastructure.
