Perspective
Rental Roundtable #84: Why Rental Data Is Holding You Back More Than You Think
Key takeaways
- Adding tools on top of fragmented data usually increases complexity rather than clarity.
- The value in telematics is shifting from the hardware to the software layer above it.
- A less-is-more approach to the technology stack can reduce cost and improve customer retention.
- AI becomes useful only once the underlying fleet data is unified and consistent.
Frequently asked questions
Why do rental companies struggle to use the data they already collect?
Data usually arrives from several telematics providers, an ERP system and assorted spreadsheets, each with its own format and login. Nothing reconciles them, so answering a simple question means checking multiple systems. The information exists, but not in a form anyone can act on quickly.
What does a less-is-more approach to rental technology mean?
It means consolidating onto fewer systems that talk to each other, rather than adding a new tool for every problem. Each additional platform creates another data silo and another integration to maintain. Reducing the number of systems often improves visibility more than any individual tool would.
Is telematics hardware becoming commoditised?
Most equipment now ships with telematics installed by the manufacturer, so obtaining a signal is no longer the difficult part. Differentiation has moved to what happens after the data arrives: whether it can be combined across sources, normalised, and turned into decisions people actually make.
How does AI fit into rental operations?
AI is most useful where data is already unified, because a model reasoning over fragmented or inconsistent records produces unreliable answers. Once fleet data sits in one place, natural-language querying and forecasting become practical for tasks such as spotting idle assets or anticipating service needs.