Deliveries optimized by AI Visible to your customer, verified for your operation

The cycle starts when an order is confirmed in your ERP, your WMS or your order management system. Trazzo picks it up with its address, its receiving window, its weight and its volume, and the first thing it does is not routing: it is geocoding the address, that is, turning the address text into an exact point on the map. Ambiguous or incomplete addresses are not routed blindly: they land in an exceptions inbox so they can be fixed once.

With the points resolved, the optimization runs. The engine does not just order stops by proximity: it decides at the same time which vehicle carries each order, in what sequence and at what time, respecting receiving windows, capacity per vehicle (weight, volume, pallets, refrigeration), driver shift hours, urban traffic restrictions and the estimated unloading time by customer type. An operation with several warehouses is modeled the same way.

The result does not go straight out to the street. The planner sees the proposed route sheets with their cost and the load of each vehicle, and can force changes: pin a stop, remove a customer, move a vehicle. Only then are they dispatched to the driver app. Supervision becomes by exception, not stop by stop.

A delivery is not closed by tapping "delivered". The driver completes a record that combines a photo of the unloaded goods, electronic signature, GPS and exact time, plus the name of the person who received it, the delivery note number and, when the operation requires it, the customer's ID or stamp. In B2B deliveries, the quantity received per line is added, which is what later makes reconciliation possible.

All of this is captured on the phone and works offline: the route and each stop's details download at the start of the day, and the evidence is queued and uploads on its own when the signal returns, keeping the time of the actual event, not the time of the sync. A basement or a rural area without coverage does not break the workday.

On the office side, each record is linked to the order and the trip with its timeline: when the truck left, when it arrived, how long the unloading took. That set is what releases the invoice the same day instead of waiting for the paper delivery note, and what gets pulled up when someone disputes a delivery three weeks later.

The part no demo shows is the delivery that goes wrong, which is exactly where the margin goes. In Trazzo, an exception is not free text: the driver picks a standardized reason (customer not available, address does not exist, damaged goods, no room at the receiving warehouse, rejection over the delivery note or the price, outside receiving hours) and attaches the photo that backs it up. Standardizing does two things: each reason triggers a different action and, at month end, you can see which one keeps repeating.

If the customer is not there, the system offers to reschedule in the same chat and the stop is reinserted into the route for the right day. If the rejection is commercial, the alert goes to the sales rep or the accounts team, not to the warehouse. If the delivery is partial, the lines and quantities actually received and the ones going back on the truck are recorded, and the order is left with a pending balance instead of being marked closed.

In all three cases, the rest of the route sheet is recalculated live: the freed-up time is reassigned and, if the accumulated delay puts a later window at risk, the control tower sees it before the customer calls to complain.

At the end of the day comes the question no GPS answers: this went out, that was delivered, and where is the difference. Trazzo cross-checks three sets: what was loaded onto the vehicle according to the dispatch order, what was confirmed in each proof of delivery and what physically came back to the warehouse with its reason and its evidence.

That cross-check produces the differences by line, not by trip: six packages dispatched, five delivered, one returned for damaged goods, with a photo. Whatever does not add up is flagged as an open discrepancy with an owner and a time, instead of turning into the mysterious shortage that shows up in next month's inventory. Returns enter the reverse logistics flow with the same digital proof as the delivery.

The consolidated result goes back to your system: the order is marked delivered, partial or rejected, the stock on the vehicle is cleared and invoicing is released with the backup attached. For accounting, that means closing the day with a short list of exceptions, not a stack of delivery notes to key in.

Trazzo does not try to be the system where your operation lives: it connects to the one you already have. Orders come in from the ERP, the WMS or the online store through a direct connector with Salesforce, SAP, Oracle and Microsoft Dynamics, or through REST APIs and webhooks when the system is in-house or niche. For a small operation or a limited pilot, you can also start with a file.

The return trip matters as much as the outbound one: each delivery's status, its exception reason and the link to the evidence are written back to the original order, so accounting, sales and customer service look at the same data, not three spreadsheets. Notifications to the end customer go out through Meta's official WhatsApp Business Platform, with the appropriate approved templates.

Trazzo works alongside whatever fleet telematics you already have: it does not replace the satellite tracking device in the truck or force you to change providers. The position the app uses comes from the driver's phone, so an outsourced vehicle with no hardware of its own can join the operation the same day.

Trazzo is a last-mile agent, not a complete logistics suite, and it is worth saying before the demo. It is not a long-haul TMS: it does not tender freight, build per-leg rates or settle trips with carriers. It is not a WMS: it does not manage locations, picking or cycle counts inside the warehouse; it takes the order once it has been prepared. Nor does it issue tax invoices or manage fleet maintenance, fuel consumption or driver records.

On when it is not a fit, the honest criterion is this: the optimization engine pays off when the route changes. If you deliver to the same fixed stops every day with the same vehicle, there is not much to optimize and the mileage savings will be marginal. And if all you are missing is knowing where the vehicle is, a tracking device costs a lot less.

Where Trazzo does pay for itself is in operations with variable volume, time windows that matter, frequent exceptions and delivery disputes. And there is a prerequisite worth checking before you ask for the demo: the order has to exist in a system. If the day's orders live in a notebook or in the warehouse group chat, they need to be moved into a system first.