Automation for courier and last-mile services
that catches a missed delivery before the customer complains
A courier operation's dispatch often runs on a dispatcher's manual judgment, and proof of delivery runs on a driver's memory. That works until volume spikes and both start to slip. We automate route assignment, push real ETA updates to customers, and capture proof of delivery automatically. A missed or delayed delivery gets caught by the system before a customer has to call and complain.
Why the customer calls before you do
A courier operation’s dispatch decisions, which driver takes which delivery and in what order, often run on a dispatcher’s manual judgment built from experience. That is not the same as a system calculating the most efficient assignment from real driver location and capacity. It works reasonably well at normal volume. It starts to break down exactly when it matters most, during a demand spike, when a manual process cannot keep pace with the decisions needed per minute.
A second cost is proof of delivery that depends on a driver remembering to take a photo or get a signature. Logged inconsistently, or not at all, it turns a delivery dispute into a he-said-she-said conversation instead of a quick check against a reliable record.
Customer communication is a third cost. Without automatic ETA updates, a customer anxious about a delivery either calls to ask, adding support load, or simply gets frustrated by silence. A courier that could have proactively said “running 20 minutes behind” instead takes the full force of a surprised, unhappy customer.
A fourth, costly pattern is the delivery that quietly falls behind schedule without anyone noticing until the customer complains. Nothing in the system actively flags a delivery that is meaningfully off-pace while there is still time to intervene.
What the automation actually handles
A system assigns routes and deliveries based on real driver location and current capacity, instead of a dispatcher manually balancing load from memory. Automatic ETA updates push to customers as a delivery progresses, calculated from real location data rather than a static estimate given at pickup.
Proof-of-delivery capture, a photo, a signature or a code, happens through a simple driver app and logs automatically with a timestamp and location. A dispute gets resolved by checking a reliable record. The system flags a delivery running significantly behind schedule to the dispatcher immediately. There is still time to communicate proactively or adjust the plan, instead of only after a customer calls to complain.
Typical integrations are your fleet management system or driver-facing app for location and proof-of-delivery data, and your dispatch system for route assignment. WhatsApp or SMS handles automatic customer ETA updates.
What stays with your team
Every real exception, a stuck driver, a difficult address, a customer dispute, stays with your dispatchers and support team. The system’s job is to handle the routine assignment and status communication, so dispatchers can focus on what actually needs a human decision. It is not here to replace that judgment. An exception alert is a prompt for a dispatcher to act, never an automatic resolution.
What it costs
| Model | Price | What you get |
|---|---|---|
| Agency runs it | from $2,000 | We build, launch and maintain the dispatch, ETA and proof-of-delivery system. You flag fleet or process changes as they happen. |
| Full control, handover-ready | from $3,000 | Same build, full source code and configuration access transferred to your team, documentation included |
Both run on the same 3 to 6 week build for a standard fleet setup.
Where this fits next
Pair this with the AI agent for courier and last-mile services, so customer-facing status questions draw from this same real dispatch data. Or Meta Ads for courier and last-mile services, if the gap is finding new customers rather than tightening operations. See the full package breakdown on the automation service page. The catalog and guarded-delivery automation behind a high-volume pricing engine is detailed in the digital goods marketplace automation case study. An instant-delivery marketplace engine built on similar real-time logistics logic is in the Telegram marketplace case study. Get a written plan with a fixed price for your fleet.
FAQ
What does it cost to start?
A dispatch and proof-of-delivery build starts at $2,000 and takes 3 to 6 weeks, depending on fleet size and how your drivers currently log deliveries. A lighter proof-of-delivery-only digitization starts at $1,200.
Does this replace our dispatchers?
No. It handles the routine assignment and the status pushes. Dispatchers spend their time on real exceptions, like a stuck driver or a difficult address, instead of manually tracking every delivery's status by hand.
How does proof-of-delivery capture work?
A driver captures a photo, a signature or a code at the point of delivery through a simple app. It logs automatically with a timestamp and location, so a dispute can be resolved by checking the record instead of relying on memory.
What triggers an exception alert?
A delivery running significantly behind its expected schedule gets flagged to the dispatcher before the customer has to call and ask. There is still time to communicate proactively or adjust the route.
Does it connect to our existing fleet management or driver app?
Yes, where it exposes an API or a reliable export. We have built high-volume, guarded delivery automation for a digital marketplace before, so real-time, high-stakes delivery logic does not worry us.