Fifty bikes out, fifty coming back. That's the whole problem.

💰

Cheap per unit, because it has to be

Bikes earn less per day than a scooter, so the software has to cost less per bike. At 75 units you're paying $4 each.

🔋

Which e-bikes are actually charged

Track charge state per bike. An e-bike sent out at 30% comes back in a taxi — and that's your afternoon.

🏠

Delivery to the hotel

Most bike rentals are delivered. Charge for it, schedule it, and hand over at their door with a photo record.

🔒

Deposits without the friction

A card on file that's never charged unless something happens. Low enough not to lose the booking, real enough to matter.

🔄

Multi-day and weekly rates

Most bike money is in the three-day and week-long rental. Price those properly instead of multiplying the day rate.

💬

Booked before they land

Guests book bikes weeks ahead. The AI answers and confirms while you're closed.

What it replaces

The notebook, the group chat and the whiteboard.

Right now

A spreadsheet with fifty rows
No idea which e-bikes are charged
Delivery arranged over WhatsApp, ad hoc
Weekly rates worked out by hand
Locks and helmets tracked by memory
Bikes back late with nobody chasing

With Rental Biz AI

Every unit tracked on its own
Charge state visible at a glance
Delivery scheduled, charged and photographed
Multi-day rates set once
Accessories on the booking
Automatic reminders before the return

More bikes out. Less counting.

Built on the coast, not in a boardroom

We didn't read about rental businesses. We ran one.

Rental Biz AI was built running a real vehicle rental business on the Riviera Maya — chasing deposits, answering WhatsApp at midnight, losing no-shows and arguing about damage. Every feature exists because we needed it on the ground. Carts, scooters, ATVs, mobility chairs — the day is the same shape, and the software was built around that day.

Bike rental software for fleets that move a lot of units.