Documentation Index
Fetch the complete documentation index at: https://docs.tread.ai/llms.txt
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What this solves
You’ve sent the dispatch. Now you want to know — are the trucks moving, did they arrive, where are the tickets? Most operators today are on the phone all day chasing drivers and digging through stacks of paper at end of shift. This workflow gives you a live map of every truck, automatic geofence arrivals and departures, and ticket capture from photo, SMS, or telematics — without anyone calling the driver to ask “where are you?”Walkthrough
Open the Live Map
Go to Dispatch → Live Map. Every dispatched truck shows up with its current location, speed, and status. Filter by Project, customer, or department.
Watch geofence arrivals
When a truck enters a geofence (a virtual fence around a site), Tread logs the arrival, starts the onsite timer, and updates the order. No driver action required if you have telematics connected.
Capture tickets from the field
Drivers submit tickets three ways: a photo from the Driver App, an SMS reply with a photo, or an automated feed from a scale-house integration. Each ticket attaches to the matching load.
Let the AI read the ticket
The Ticket Chaser agent (Tread’s OCR + matching agent) reads the ticket image, pulls ticket number, weight, material, and timestamps, and matches it to a dispatched load. Anything ambiguous gets flagged for human review.
Resolve flagged tickets
Open the Needs Review queue. Each card shows the ticket image side-by-side with the parsed fields. Confirm or edit, then approve. Most teams clear this queue twice a day.
Review the day's loads
At end of shift, open Approvals → Loads for a list of every load with its tickets, hours, and miles. From here, send to AI approvals or approve directly.
Watch it
Common pitfalls
Related
- AI Data Collection & Load Approvals — what happens after capture.
- Tickets & Timesheets — the data model.
- Digital Tickets — every supported ticket source.
- Telematics integrations — auto-arrival and engine data.