Dispatch that updates itself:
every customer knows before they ask
A dispatcher juggling a dozen drivers and a hundred stops spends most of the day on two things: deciding who takes the next job, and fielding calls from customers asking where their delivery is. An agent assigns jobs by location and load, recalculates ETAs as conditions change, and messages the customer before the question is asked.
The process today
A dispatcher assigning jobs across a fleet usually works from instinct and a mental map of who is near what, which works until the day gets busy, a driver falls behind, or two jobs come in at once. The assignment that made sense an hour ago stops making sense the moment a stop runs long, and nobody recalculates the knock-on effect on every job after it until a customer calls to ask where their delivery is.
The second cost is that call itself. Fielding where-is-my-order questions pulls the dispatcher away from the actual job of assigning and reassigning work, and the customer rarely gets a better answer than “the driver is on the way,” because nobody has the exact ETA handy either.
The third is that none of this gets recorded in a form anyone can learn from. When a route consistently runs late on a certain day or in a certain area, that pattern lives in a dispatcher’s head rather than in data the operation can act on.
What the agent does
The agent assigns incoming jobs to the nearest available driver by current location, current load and delivery window, and re-runs that assignment whenever a driver reports a delay or a stop takes longer than expected, so the rest of the day’s schedule adjusts automatically instead of drifting. ETAs are recalculated from live location and traffic data rather than a fixed estimate set when the job was created.
Customers get a proactive message when their delivery’s ETA moves meaningfully, before they would think to ask, in SMS, WhatsApp or LINE depending on what your customers already use. The dispatcher sees every active job, its current driver, ETA and status on one dashboard, with anything the agent could not confidently assign sitting in an exception queue with the reason attached.
Typical integrations: your TMS or fleet management platform, a mapping and routing provider for live traffic-aware ETAs, and your customer messaging channel of choice.
What stays with humans
Any job the agent cannot confidently assign, no driver in range, a delivery window conflict, a customer request outside the normal flow, goes to a dispatcher instead of being forced through. Route and service-area policy, which jobs get priority, and how to handle a driver shortage on a given day stay decisions your operations team makes. A dispatcher can override any assignment at any point, and the agent treats that override as the new plan rather than reverting it.
Guards
Every assignment, reassignment and customer message is logged with the reason behind it, so a manager can review why a given job went to a given driver on a given day. The agent never contacts a customer with anything beyond ETA and delivery status, nothing promotional, nothing outside the delivery itself. The dispatch logic runs in a shadow mode against a live day’s jobs before it is allowed to assign anything for real, and a kill switch hands dispatch back to a human in one message if something looks off.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $800 | One fleet, assignment logic, ETA messaging, exception queue | 1 to 2 weeks |
| Department package | from $3,000 | Dispatch and ETA updates plus shipment tracking and order fulfilment routing across operations | 3 to 6 weeks |
Running cost is usually $30 to $90 a month in mapping, messaging and model usage depending on job volume.
Related
Pair this with shipment tracking updates for the post-dispatch leg of the same delivery, and with order fulfilment routing for the warehouse side feeding jobs into dispatch. See the AI agents service page and the automation-everything overview for full package details. For a real build on instant delivery logistics and a recovered operations system, see the Telegram marketplace instant delivery case study and the factory ERP recovery case study.
Tired of dispatching from memory and fielding the same call twice a day? Get in touch and we will map your current dispatch flow.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does it cost to automate dispatch and ETA updates?
From $800 for one fleet, one dispatch logic and customer messaging, live in 1 to 2 weeks. Multi-fleet or multi-city operations with complex routing rules usually run $1,800 to $3,000.
How long before it is live?
1 to 2 weeks once we have your driver and job data, whether that is a TMS, a spreadsheet, or a messenger group dispatchers currently coordinate in.
Which systems does it connect to?
Common TMS and fleet platforms with an API, mapping and routing providers for live traffic data, and SMS, WhatsApp or LINE for customer-facing ETA messages.
What happens when a job cannot be assigned automatically?
Anything outside the normal pattern, no available driver within range, a delivery window that conflicts with existing stops, a customer-requested change, goes to the dispatcher's exception queue with the reason attached instead of being force-assigned.
Is customer and driver location data secure?
Location and job data stay inside your dispatch and mapping systems through their own APIs; we do not hold a separate copy, and every assignment and message is logged for audit.