{"id":946267,"date":"2026-03-23T09:18:45","date_gmt":"2026-03-23T13:18:45","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/redcloud-ceo-declares-the-decline-of-systems-of-record-as-it-validates-r-a-i-d-ai-engine-built-for-modern-global-trade\/"},"modified":"2026-03-23T09:18:45","modified_gmt":"2026-03-23T13:18:45","slug":"redcloud-ceo-declares-the-decline-of-systems-of-record-as-it-validates-r-a-i-d-ai-engine-built-for-modern-global-trade","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/redcloud-ceo-declares-the-decline-of-systems-of-record-as-it-validates-r-a-i-d-ai-engine-built-for-modern-global-trade\/","title":{"rendered":"RedCloud CEO Declares the Decline of Systems of Record as It Validates R.A.I.D. AI Engine Built for Modern Global Trade"},"content":{"rendered":"

\nR.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
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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\u00a0today declared that the era of traditional ERP systems\u00a0faces a steep decline in relevance, alongside validating\u00a0R<\/b>.<\/b>A<\/b>.<\/b>I<\/b>.<\/b>D<\/b>.<\/b>\u00a0(<\/b>Realtime<\/i><\/b>\u00a0AI for Distribution),<\/b>\u00a0its AI engine embedded within the flow of trade, delivering accuracy\u00a0levels that outperform industry benchmarks1\u00a0across 3.7 million live FMCG transactions in market conditions defined by volatility, disruption and constant change.\u00a0<\/p>\n

From escalating tensions in the Middle East disrupting critical trade corridors, to tightening credit conditions and rapidly shifting demand patterns, the\u00a0Company believes the\u00a0operating environment for global trade has fundamentally changed. Supply chains are no longer linear. Signals are no longer stable. Decisions can no longer\u00a0wait. Yet\u00a0the systems used to manage global trade were not built for this reality.\u00a0<\/p>\n

\u201cERP systems were masterpieces of documentation,\u201d said Justin Floyd, CEO of RedCloud Holdings plc. \u201cThey 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.\u201d\u00a0<\/p>\n

\n From Systems of Record to Systems of Action<\/b>
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For decades, enterprise software has operated as a system of record: humans initiate action, software responds, and decisions move sequentially.\u00a0That model worked when information moved slowly and supply chains were predictable.\u00a0It does not work in an economy defined by fragmentation, uncertainty and constant motion.\u00a0<\/p>\n

Demand shifts daily. Credit conditions change mid-cycle. Distributors must act without waiting for perfect information. In this environment, latency is not inefficiency,\u00a0it is\u00a0likely\u00a0lost margin.\u00a0<\/p>\n

\u201cThe problem isn\u2019t AI,\u201d Floyd continues. \u201cThe 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.\u201d\u00a0<\/p>\n

RedCloud defines this shift as the move to\u00a0agentic infrastructure<\/b> –\u00a0systems that observe continuously, act within defined guardrails and optimise decisions as conditions change.\u00a0<\/p>\n

\n Proof, Not Theory<\/b>
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R.A.I.D.\u00a0is a two-tier, learning-to-rank system,\u00a0designed to deliver highly relevant product recommendations at scale across distributor networks.\u00a0Trained on 3.7 million completed trade transactions within RedCloud\u2019s RedAI platform, R.A.I.D.\u00a0has achieved accuracy\u00a0levels\u00a0(NDCG)\u00a0that are\u00a0significantly above the >80% threshold generally considered commercially impactful for ranking systems.\u00a0<\/p>\n

Unlike consumer recommendation engines that infer intent from behavioural signals, R.A.I.D.\u00a0is trained on executed trade.\u00a0 These are\u00a0real orders, real volumes, real commercial outcomes.\u00a0<\/p>\n

\u201cThis is not inferred behaviour. This is\u00a0real-world\u00a0data,\u201d said Floyd. \u201cA distributor ordering 500 cases of a product is not a signal. It is intent executed. That changes what AI can do.\u00a0Global\u00a0FMCG\u00a0trade generates millions of commercial decisions every day.\u00a0The intelligence layer required to support those decisions at scale has not previously existed.\u201d\u00a0<\/p>\n

R.A.I.D.\u00a0is not designed to generate reports. It is designed to drive decisions. By embedding intelligence directly at the point of transaction, RedCloud enables distributors and retailers to act on predicted outcomes, increasing average order value, improving repeat rates and optimising inventory flow in near-live trading environments. This represents a shift from backward-looking analysis to forward-looking execution.\u00a0<\/p>\n

\n One Engine. Multiple Decisions. Continuous Impact.<\/b>
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R.A.I.D. is designed to operate across multiple commercial decision layers simultaneously, including:\u00a0<\/p>\n