Artificial intelligence is no longer a future consideration for the moving and storage industry, it’s here, and it’s accelerating. Moving companies worldwide are adopting AI tools for call transcription, automated quoting, document extraction, and customer communication. Applied thoughtfully, AI makes moving companies faster, leaner, and more competitive.

But there’s a blind spot. Our industry isn’t asking a critical question: what happens to your data once AI processes it? In the rush to adopt, we’re skipping the due diligence that separates smart adoption from risky adoption.

Where Does Your Data Actually Go?

Many software platforms don’t build their own AI. They connect to third-party AI services to power their features. When you use an AI tool in your software, your data often leaves the platform, gets processed on an external server, and the result comes back. The feature works…but was your data stored on that external server? Was it used to improve a model shared by your competitors? Was it processed in compliance with the standards your contracts require? For most movers, the honest answer is: I don’t know.

This matters more for movers than most industries. We handle sensitive personal information like government IDs, military records, corporate relocation data, and financial details. Companies managing U.S. government moves operate under NDAA requirements. International movers exchange data across borders and regulatory environments. And beyond customer data, there’s your business intelligence: pricing strategies, agent relationships, and financial performance. When that data is processed externally, you’re trusting that it stays private, but you may not have verified that trust.

Five Questions Every Mover Should Ask

Smart adoption doesn’t mean slowing down, it means asking the right questions before you commit or renew:

1. Where is my data processed when AI features run? On your vendor’s infrastructure, or a third party’s?

2. Is my data used to train AI models? Some providers use customer data to improve their models; your intelligence could influence outputs for competitors.

3. Who owns the AI model? A vendor who built their AI in-house controls the data pipeline end to end. One reselling third-party access does not.

4. Does the platform meet my compliance requirements? NDAA and CMMC compliance, data residency, and cross-border transfer standards aren’t optional for many movers.

5. Can my vendor explain their data flow in plain language? If the answer is vague or deflective, that’s information in itself.

How We Approached This at EDC

I’ll share our approach not as a pitch, but because it illustrates what’s possible when privacy is a foundational principle rather than an afterthought. When we began developing AI capabilities, we made a deliberate choice to build our own AI platform in-house. That platform is MERCED; created and owned entirely by EDC, running on our own infrastructure, designed so customer data is never sent to external third-party providers.

It would have been faster and cheaper to plug into a third-party service. But after 25 years in the moving industry, we know what’s at stake when business data isn’t protected. The result: movers get the AI tools they need, such as call transcription, weight ticket extraction, document composition, translation, and sentiment analysis, without data privacy trade-offs. Not every company can build their own AI. The point is that privacy-first AI exists, and movers deserve to know it’s an option.

The Opportunity Ahead

Our industry has always been built on trust. Customers trust movers with their most valuable possessions. Agents trust partners with their reputation, and companies trust their software with their business. AI doesn’t change that equation, it raises the stakes. The companies that adopt thoughtfully will earn and keep that trust. The ones that adopt blindly may find the efficiency they gained came at a cost they didn’t anticipate.

The opportunity is enormous. Ask the questions. Understand the answers. Choose partners who are transparent about how your data is handled; not because you asked, but because they believe you have the right to know. The AI conversation in our industry is well underway. Let’s make sure the data privacy conversation keeps pace.