
How Spot & Red Technologies Build Practical, Real-World AI Solutions That Actually Work
Artificial intelligence isn’t new to logistics, but honest conversations about what actually works are. For years, Spot’s wholly-owned subsidiary and technology arm, Red Technologies, has been building and deploying AI in ways that reflect the real-world pace, pressure, and complexity of freight. The work wasn’t linear; it was iterative and deeply collaborative.
What follows is a behind-the-scenes look at how the engineers, data scientists, and operations teams of Red Technologies have adopted AI by doing what logistics has always required: solving the problem directly in front of them, learning from the people closest to the work, and scaling only when the results earn it.
This whitepaper blends two perspectives rarely found in a single narrative:
Together, the two perspectives reveal how the Red Technologies team approaches AI with clarity, humility, and a firm focus on operational value.

Cargo theft is a growing concern across the supply chain, affecting shippers, carriers, and logistics providers alike. In 2024, reported incidents were up 27% compared to 2023.
In Q2 2025 alone, total estimated losses exceeded $61 million. Today’s thieves aren’t relying on brute force. They are exploiting gaps in processes, digital security, and verification protocols. From impersonation and identity-based deception to credential exploitation, the tactics are more sophisticated than ever. It’s more important than ever for organizations to stay informed and prepared.
In our white paper, From Blind Spots to Best Practices: Combatting Cargo Theft in Today’s Freight Market, we break down the latest theft trends, high-risk commodities, and stages of prevention shippers should adopt. We also share a step-by-step post-theft response plan to help shippers act fast.
If you move freight, you can’t afford to treat security as an afterthought. Learn the red flags, tighten your defenses, and protect your bottom line.

In today’s fast-paced logistics environment, shippers are under more pressure than ever to deliver faster, reduce costs, and maintain flexibility in the face of fluctuating demand.
The complexity of modern supply chains—with multiple
transportation modes, vast geographic reach, and increasing customer expectations—make traditional, manual processes unsustainable. Enter logistics automation, a transformative force that is reshaping the way shippers operate by leveraging cutting-edge technologies to enhance efficiency, accuracy, and scalability.
Automation technologies, such as artificial intelligence (AI), robotics, and the Internet of Things (IoT), are becoming indispensable tools for shippers who aim to stay competitive. The key question is no longer if automation should be adopted, but how to strategically implement it to drive the most value.
This white paper provides a definitive toolkit for smarter logistics automation and the impact it can have on your shipping operations.

Shippers universally fear transportation management system (TMS) overhauls.
Their TMS journey likely began with a crash course in chaos. These complex projects can be a massive strain on teams and resources. But what if your next TMS implementation could be completely different?
Before embarking on the journey of TMS implementation (whether this is
your first time trying it out, or if you’ve given it a shot and things didn’t go as
planned), it is crucial to understand why a new system (or TMS in general) is
necessary.
This white paper provides a ten-step blueprint for successfully implementing a TMS and boosting efficiency, profitability, and clarity in your operations by choosing the right partner.