What can a rental business really do with AI?

Not that long ago, every conversation in the rental sector was about digitalization. Now almost every conversation is about AI. Vendors promise smart maintenance scheduling, automatic quotes, and chatbots that handle customer questions without a single employee involved. For a rental business still wrestling with Excel sheets, that sounds like a ten-year leap forward.

But what does AI actually deliver for a rental business with two to fifty employees? And maybe more importantly: what needs to be in place before AI can do anything at all?

Why everyone is suddenly talking about AI in rental

The attention didn't come out of nowhere. Major software vendors in the rental sector are adding one AI label after another to their platforms, from smart dashboards to automatic price advice. Trade media now write about it weekly.

That fits a broader trend. Almost every sector wants to know what AI means for them, and rental is no exception.

The problem is the term itself. "AI" has become a catch-all for almost anything, from a simple rule that auto-suggests an invoice, to a system that actually recognizes patterns in your data. That distinction matters a lot for what it actually does for you as a business owner, and it's exactly what most marketing stories gloss over.

Take Didier, Manager Operations at RentMagic. He's spent years thinking about what rental businesses actually need, and he'd rather talk about what works than what's trendy. "RentMagic basically does the thinking for you, so you can focus on the rental business itself," he says about what good automation should do. Not an AI pitch. Just a description of what it's really about.

What AI already delivers for rental businesses in practice

Setting the marketing terms aside, something real is happening. Across the broader rental and asset sector, three applications are already moving past proof-of-concept:

• Predicting maintenance based on actual usage, instead of a fixed schedule. An item that's rented out more intensively gets checked sooner.
• Handling customer questions faster. Not by replacing an employee, but by filtering out the most common questions, like availability or an order status, before a person ever sees them.
• Recognizing patterns in occupancy rates and seasonal peaks. Across multiple years and locations, those trends are hard to spot with the naked eye, even though they determine how much stock you actually need.

None of these applications replace your team. They shorten the time between a signal in your data and a decision you make.

What goes wrong when you point AI at messy data

This is where it gets interesting. AI needs something to run on: clean, centralized data.

Picture this. Inventory data in an Excel sheet, customer agreements in a colleague's inbox, invoicing in a separate accounting package that doesn't talk to anything else. Even the best AI can't do much with that. The system sees three separate realities, not one business, and that's not a small problem.

Gartner estimates that through 2026, organizations will abandon sixty percent of their AI projects, because the underlying data isn't AI-ready. 63 percent of companies didn't even know whether their own data management was actually fit for AI.

You don't fix that by buying an AI tool. You fix it by getting your data in order first, a less glamorous project, but a far more urgent one.

The condition nobody mentions: AI is only as good as your data

Every vendor talks about what AI can do. Almost nobody talks about what has to be in place first for that to be true.

Whoever knows at any moment what's available, where it is, and when it's coming back, already has the foundation AI needs to add anything. Without that foundation, you don't have an AI problem. You have a visibility problem, and it often still feels familiar: the colleague who keeps it all in his head, planning done by gut feel, the invoice written out by hand.

Arvid de Decker of RentalTec, a long-time RentMagic customer, offers a recognizable example of what visibility alone delivers. His company first tracked everything in Excel. After switching to one central system, connected to Exact Online and with reporting through Power BI, he estimates the time saved at roughly ten times what it used to be. Not because of AI. Just because of visibility, and automating the routine work.

That's the order that works: visibility first, then automating the routine work, and only after that, once it's solid, does AI become relevant.

Three things you can already do, regardless of AI

You don't have to wait for AI to mature to make progress. There are three steps you can take right now, ones that happen to be exactly what AI will need later too:

1. Bring your data together in one place. As long as inventory, customers, and invoicing sit in separate systems, every insight stays a manual search, and AI won't change that.
2. Make availability and occupancy visible in real time. Not in an export from last week, but the moment a customer on the phone asks if something is still free. That speed often decides whether you win the order.
3. Automate the predictable work first. Recurring invoicing, maintenance scheduling, contract prices that apply correctly on every invoice. That's not AI, it's just well-built rental software, and it's exactly the foundation AI can eventually build on.
   
   

Frequently asked questions

Should I invest in AI for my rental business now?
Not if your foundation isn't in place yet. According to Gartner, through 2026 sixty percent of AI projects fail specifically because the underlying data isn't ready. Invest in visibility and centralized data first. AI can always come later, and it'll deliver more when it does.

What's the difference between automation and AI?
Automation follows fixed rules you set, like an invoice that gets auto-generated every month. AI recognizes patterns in data and makes its own predictions or recommendations from them. Most "AI features" in rental software today are, in practice, automation with a new label.

Conclusion

AI in rental will get more serious in the coming years. That's not a question of if, but when.

But the businesses that will benefit most aren't the ones buying an AI tool first. They're the ones that already have their data in order.

Where does your rental business stand today on visibility and data quality? Get in touch for a demo, and we'll show you what a central system already delivers today, regardless of any AI promise.

Want to know more about optimizing rental processes?

Want to know more about how to optimize your rental process? Watch our demo video or contact us for a consultation.