RedCloud Unveils Specialist AI Agents Trained on $6.9 Billion FMCG Trade Dataset — Targeted to Improve Thousands of Commercial Decisions Daily

London, UK, April 28, 2026 (GLOBE NEWSWIRE) -- RedCloud Holdings plc (Nasdaq: RCT) (“RedCloud” or the “Company”), a leader in intelligent infrastructure for global trade, today announced planned introduction of three specialist AI agents within its RedAI platform. Each agent is intended to partially automate high-frequency, high-value decisions across FMCG supply chains — an opportunity the Company estimates at $2 trillion¹ in recoverable market value annually. The agents are powered by RedAI’s RAID (Realtime AI for Distribution) Engine, trained on $6.9 billion² in proprietary FMCG transactional data.

The $14.6 trillion³ global FMCG industry runs on decisions — thousands of them every day — on what to stock, when to reorder, how to price, and where to promote. The Company believes most decisions are made reactively, without access to real-time supply and demand data or forward-looking predictive insight. RedCloud estimates this data deficit contributes to approximately $2 trillion in lost inventory opportunity across the global FMCG industry each year. The introduction of RedAI specialist agents is intended to address that gap directly, converting RedCloud’s proprietary trade intelligence into data-driven recommendations and semi-autonomous actions embedded directly within specific daily supply chain workflows.

The three agents planned for introduction during H2 2026, each targeting a distinct, high-frequency decision domain within FMCG and distribution, are designed to operate as follows:

RedAI Inventory Agent (Distribution): expected to support inventory managers to reduce both stockouts and excess inventory by continuously monitoring inventory levels versus predicted market demand signals to recommend optimal reorder quantities and timing. By dynamically balancing economic order quantity against actual market demand, the agent’s predictive recommendations are designed to streamline trade while improving working capital efficiency and service levels across the supply chain.

RedAI Sales Agent (Distribution): expected to support sales teams to maximise inventory sell-out performance by identifying high-propensity buyers, recommending pricing strategies and ‘best-sold with’ product bundles. Improves performance of each salesperson by automating research steps to reducing effort on low-propensity customers, while increasing sales order value.

RedAI Market Planning Agent (FMCG): provide FMCG brand managers with granular visibility of market performance of branded product at category and SKU level, including competitive activity, channel dynamics, and localized growth opportunities. By surfacing actionable intelligence from across RedCloud’s trade data network, and providing recommendations for action, the agent is expected to directly support the growth of market share and competitive advantage.

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