Homer’s Odyssey suddenly found itself back in the cultural conversation. Fair enough. It’s a story about a long journey filled with monsters, questionable advice, impossible detours, and the occasional temptation to believe something that sounds much better than it turns out to be.

Honestly, that describes buying supply chain software in 2026 pretty well.

Artificial intelligence has become this year’s Siren song. Every demo promises smoother sailing, fewer delays, perfect visibility, flawless compliance, lower costs, happier customers and, if the presentation runs long enough, probably world peace.

Odysseus knew better than to steer toward every beautiful voice coming from the rocks. Importers should probably adopt the same strategy.

Before we lash ourselves to the mast of the latest AI platform, it’s worth separating a few myths from reality.

Myth #1: AI Will Replace Logistics Expertise (The Sirens)

The Sirens weren’t dangerous because they screamed. They were dangerous because they sounded convincing. The idea that artificial intelligence will replace logistics professionals makes for a compelling headline. Like the Sirens, it’s persuasive — but that doesn’t make it true.

Supply chains aren’t static systems built around predictable outcomes. They’re constantly adapting to changing regulations, geopolitical events, weather disruptions, labor negotiations, shifting consumer demand, and countless other variables that rarely follow a script.

That doesn’t mean AI lacks value. Quite the opposite.

Artificial intelligence is exceptionally good at processing large volumes of information quickly. It can summarize lengthy regulatory updates, identify shipment trends, organize documentation, detect anomalies, and surface insights that might otherwise take hours to uncover. Those capabilities free logistics professionals to focus on work that requires judgment rather than administrative effort.

The distinction matters because information and expertise are not the same thing. AI may recognize that a shipment is delayed, but it doesn’t negotiate with the carrier. It may summarize a new tariff announcement, but it doesn’t determine whether your sourcing strategy should change. It can flag a discrepancy on a commercial invoice, but it won’t pick up the phone to resolve it with your supplier.

The companies seeing the greatest return from AI aren’t replacing experienced people. They’re giving experienced people better information, faster.

Myth #2: AI Makes Customs Compliance Simple (Scylla and Charybdis)

In the Odyssey, sailors had to choose between two bad options. Customs compliance feels familiar.

Few areas of international trade generate more paperwork than customs compliance, which makes it one of AI’s most promising applications. Document review, data extraction, classification assistance, and regulatory summaries can all benefit from automation, reducing repetitive work while improving consistency and efficiency.

However, simplifying paperwork isn’t the same as simplifying compliance. Like navigating between Scylla and Charybdis, the difficult part isn’t finding the map—it’s making the right decisions once you have it.

Consider a lengthy Federal Register notice announcing new tariffs. AI can summarize hundreds of pages in seconds, highlighting key provisions and identifying potentially affected products. That’s incredibly useful—but it’s only the beginning of the decision-making process.

Importers still need to understand how those changes apply to their specific products, whether goods already in transit qualify for exceptions, what entry dates are affected, and whether sourcing or pricing decisions should change as a result. Those questions require interpretation, context, and business judgment.

Artificial intelligence can help you read the regulation. Experienced customs professionals help you understand what it actually means for your business.

Myth #3: Every AI Platform Is Revolutionary (The Lotus Eaters)

The Lotus Eaters had a simple strategy: feed travelers something so intoxicating they forgot where they were trying to go. Marketing departments may have discovered a similar plant.

Suddenly every platform is “AI-powered.”

Sometimes that means sophisticated predictive models trained on years of operational data. Sometimes it means a chatbot attached to software that hasn’t changed since the last administration.

One of the biggest challenges facing importers today isn’t deciding whether to use AI. It’s figuring out which AI solutions genuinely solve problems and which ones simply adopted the latest marketing language.

After all, “AI-powered” has become a remarkably flexible label. Some platforms leverage sophisticated machine learning models to improve forecasting or identify operational risks. Others use large language models to summarize documentation or automate customer interactions. And in some cases, existing automation has simply been rebranded with new terminology because AI happens to be the industry’s favorite phrase this year.

Rather than asking vendors whether they use AI, importers should ask better questions. What specific problem does the technology solve? Where does it obtain its information? How are recommendations validated? Is there meaningful human oversight? Most importantly, how does it improve measurable business outcomes?

Technology should solve problems—not simply create better marketing copy.

And before inviting every shiny new platform inside your organization, remember how the Trojans felt about accepting impressive-looking gifts.

Myth #4: AI Is the Future of Supply Chains (The Trojan Horse)

This myth turns out to be mostly true.

Artificial intelligence is already transforming global logistics. Demand forecasting is becoming more accurate. Shipment visibility continues to improve. Document processing is becoming faster. Predictive analytics are helping organizations identify potential disruptions before they become operational headaches. These aren’t future possibilities. They’re happening today.

The caution isn’t whether AI belongs in the supply chain. It does.

The caution is believing that every AI solution belongs in your supply chain.

The Trojans didn’t get into trouble because they embraced new ideas. They got into trouble because they welcomed one inside the gates without asking enough questions.

The same principle applies here.

The best AI tools don’t replace experienced professionals. They remove the repetitive work that keeps those professionals from doing what they do best. Instead of manually reviewing hundreds of shipping documents, they can spend more time evaluating risks. Instead of sorting through lengthy regulatory publications, they can focus on advising customers. Instead of chasing data, they can spend their energy making informed decisions.

The future of supply chains will absolutely include artificial intelligence. Just make sure you know what’s inside the horse before you open the gates.

The Bottom Line: Keep Your Eyes on Ithaca

Artificial intelligence isn’t just another passing technology trend. It will continue reshaping supply chains for years to come, and organizations that embrace it thoughtfully will almost certainly gain efficiencies, improve visibility, and make better-informed decisions.

At the same time, importers should resist the temptation to mistake every AI claim for a competitive advantage. The strongest technology investments solve clearly defined business problems, integrate with knowledgeable professionals, and support better decision-making rather than replacing it.

In international trade, success has always depended on understanding the details hidden beneath the headlines—whether that’s the language in a customs regulation, the terms within a carrier contract, or the fine print on a supplier agreement.

Odysseus didn’t make it home by believing every promise he encountered along the way. He asked questions, trusted experience, and kept his destination in sight.

Artificial intelligence is no different.