Generative Data Intelligence

Breaking Down Data Silos: The Key to a More Efficient Supply Chain

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Does Logistics Matter? Answering YES to the question in our latest podcast episode is Archie Garcia, CEO of Fluent Cargo.

The logistics industry has long struggled with fragmented data. Different companies, systems, and processes mean that even the most basic supply chain questions—such as Where is my order?—can be surprisingly difficult to answer.

The Logistics Data Problem: Too Many Answers, No Clear Truth

Supply chains involve a complex network of shippers, carriers, freight forwarders, and retailers—all of whom generate and manage their data. The problem? There’s no universal standard for how this data is structured.

“For something as simple as tracking an order, you might get four or five different answers depending on who you ask,” Archie pointed out. “That’s insane.”

He compared the challenge to telling the time with eight different watches, each showing a slightly different result. Conflicting data leads to inefficiencies, wasted time, and unnecessary costs.

AI in Logistics: A Solution or Just a Buzzword?

Artificial intelligence and machine learning have been hailed as the future of logistics, with tools designed to optimise routes, predict delays, and improve efficiency. However, AI is only as good as the data it processes.

“AI won’t fix bad data—it’ll just make bad predictions faster,” Arj noted. Before AI can be truly useful, logistics data must be clean, structured, and standardised.

Many supply chain professionals still rely on outdated systems like Excel spreadsheets to make critical decisions. While impressive in their own right, manual processes can’t keep up with the scale and speed of modern global trade.

The Future of Logistics: Collaboration, Not Just Optimisation

Most companies focus on optimising their supply chains, but this siloed approach is limiting. Logistics stakeholders must collaborate and share data transparently to achieve real industry-wide improvements.

“We’ve reached the limit of what we can optimise in isolation,” Arj explained. “The next step is collaboration—sharing data to benefit everyone, not just individual companies.”

Emissions tracking is a key area where this could make a difference. As sustainability regulations tighten, companies need accurate carbon footprint data to make informed decisions about shipping routes and transport modes.

Unlocking the Power of Data

If you want to learn more about how data can be leveraged to increase efficiency and optimise your supply chain, listen to the podcast via the player below, or wherever you get your podcasts..

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