RedCloud CEO Declares the Decline of Systems of Record as It Validates R.A.I.D. AI Engine Built for Modern Global Trade

R.A.I.D. (Realtime AI for Distribution) outperforms industry benchmarks for accuracy on 3.7 million live FMCG transactions, redefining decision making in volatile global markets

London, UK, March 23, 2026 (GLOBE NEWSWIRE) -- RedCloud Holdings plc (NASDAQ: RCT) ("RedCloud" or the "Company"), the technology company building AI infrastructure for global trade today declared that the era of traditional ERP systems faces a steep decline in relevance, alongside validating R.A.I.D. (Realtime AI for Distribution), its AI engine embedded within the flow of trade, delivering accuracy levels that outperform industry benchmarks1 across 3.7 million live FMCG transactions in market conditions defined by volatility, disruption and constant change. 

From escalating tensions in the Middle East disrupting critical trade corridors, to tightening credit conditions and rapidly shifting demand patterns, the Company believes the operating environment for global trade has fundamentally changed. Supply chains are no longer linear. Signals are no longer stable. Decisions can no longer wait. Yet the systems used to manage global trade were not built for this reality. 

“ERP systems were masterpieces of documentation,” said Justin Floyd, CEO of RedCloud Holdings plc. “They were built to record transactions, enforce process and explain what already happened. But global trade no longer pauses between decisions. It runs on volatility, probability and overlapping signals. Software designed to memorialise the past cannot govern markets that move continuously.” 

From Systems of Record to Systems of Action 

For decades, enterprise software has operated as a system of record: humans initiate action, software responds, and decisions move sequentially. That model worked when information moved slowly and supply chains were predictable. It does not work in an economy defined by fragmentation, uncertainty and constant motion. 

Demand shifts daily. Credit conditions change mid-cycle. Distributors must act without waiting for perfect information. In this environment, latency is not inefficiency, it is likely lost margin. 

“The problem isn’t AI,” Floyd continues. “The problem is what enterprise software was built to do. You cannot bolt intelligence onto architectures designed to ask permission at every step. Intelligence must live inside the infrastructure itself.” 

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