AiThority Interview with Justin Floyd, Chief Executive Officer, RedCloudTechnologies Limited

Justin Floyd, Chief Executive Officer at RedCloudTechnologies Limited chats more about the impact of AI innovations on supply chain workflows in this AiThority interview:

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Hi Justin, tell us about yourself and your tech journey so far?

I’ve spent 25 years building infrastructure before markets realize they need it. From co-founding Cambridge Medical Robotics to Vecta Software, my focus has always been on solving fundamental systemic gaps, not just building apps.

My journey with RedCloud started when I looked at global trade and realized it was running on guesswork. Supply chains were relying on historical data and fragmented systems. I saw that emerging markets, where demand is highest, were the least connected.

My mission is simple: to replace manual judgement with predictive intelligence. We aren’t building a marketplace; we are building the intelligence layer that global trade has been missing.

How are you seeing global companies use AI to drive decisions?

Most are still using it wrong. They use AI for efficiency – automating emails or optimizing broken workflows. That is low-value.

The companies that win are using AI for predictive decision intelligence. Global trade has historically been reactive. A brand ships product and hopes for the best. Today, we are seeing smart players use AI to aggregate live transaction data across thousands of distributors. They aren’t guessing what inventory is needed, they know.

This shifts the entire model from ‘push’ (shipping goods based on last year’s report) to ‘pull’ (shipping based on real-time demand signals). That is the difference between profit and waste.

In what ways are new age AI innovations impacting supply chain workflows?

The biggest impact is the death of the linear supply chain.

Traditionally, trade was a straight line, going from brand to distributor to retailer. It was rigid and fragile. AI is turning that line into a network. It creates shared visibility. Innovations in edge computing are allowing intelligence to live at the point of transaction – in the warehouse or at the counter – rather than just in a cloud server.

This means workflows are no longer about manually reconciling spreadsheets. They are about managing exceptions. The system handles the flow and the humans handle the strategy.

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What tips would you share with tech and other teams who are still in the process of deploying AI powered systems?

Don’t pave the cow path. Do not use AI to speed up a process that is fundamentally broken. If your data is fragmented and your supply chain is opaque, adding AI just gives you bad decisions faster.

My advice is to fix the infrastructure first. You need a unified data layer before you can have intelligence. If your data is trapped in silos or legacy ERPs, your AI model will fail.

And fall in love with the problem, not the AI. Use technology to solve a specific friction point, like inventory waste or credit risk, not just to say you have AI.

What’s most exciting about the current state of AI in your view?

The democratization of intelligence. For decades, only the biggest giants had access to ‘Bloomberg-level’ data. Now, we can put that same predictive power into the hands of a local distributor in an emerging market.

That is exciting because it closes the gap between civilization and chaos. By making trade more efficient and resilient, we aren’t just improving margins; we are ensuring food security and economic stability in the places that need it most. That is the real promise of AI.

Can you talk about some of the most interesting AI innovations from around the world that have piqued your interest and why?

I am watching the convergence of edge computing and trade intelligence. We are seeing innovations where AI models run locally on low-cost devices in markets like Southeast Asia or Latin America, allowing for real-time credit scoring and inventory management without needing massive bandwidth.This is ‘building oil rigs before cars.’ It is infrastructure that allows complex trade to happen in environments that traditional tech ignores. That is where the next trillion dollars of value will be unlocked.

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