Off-rent calls turned into pickup tickets
Captures off-rent calls, texts and voicemails, stops billing on the contract with a confirmation number and groups pickups into a route for dispatch.
Call-offs get lost between the phone and the contract.
Customers call off by text, voicemail and email to whoever they know. If the off-rent date is not recorded on the contract, billing keeps running and pickups slip. Units sit on finished jobsites instead of earning on the next one.
A foreman texts the branch on Thursday afternoon that two scissor lifts are done. Nobody logs the call-off, billing runs through Monday, and the customer disputes four extra days.
Off-rent pickup scheduling, step by step.
The agent does the work inside your systems. Your team approves what matters.
- 1
Capture the call-off
Reads texts, voicemails and emails and matches each to the open contract and units.
- 2
Stop the clock
Records the off-rent date and time on the contract and sends the customer a confirmation number.
- 3
Build pickup tickets
Groups pickups by area and truck capacity and hands dispatch a ready route for the next day.
Your team keeps the judgment calls.
The agent takes the repetitive work. People approve, decide and talk to customers.
- Fewer billing disputes over off-rent dates
- Units return to available status sooner
- Drivers run fuller, shorter pickup routes
Works inside the systems you already run
Before you ask.
Captures off-rent calls, texts and voicemails, stops billing on the contract with a confirmation number and groups pickups into a route for dispatch. It works in three steps: capture the call-off, stop the clock and build pickup tickets.
It works inside the tools your team already uses, including phone system, SMS, rental management system and dispatch board. Nothing to rip out and nothing new to learn.
It starts in shadow mode, drafting the work for your team to approve or correct. You decide what it handles on its own, and every action is logged.
Your data is used only to run the workflows you approve. We do not use your proprietary data to train public or unrelated AI models.
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Start with one agent.
Pick the workflow that hurts most. We'll scope it on the first call.