Logistics operators · Solution
Soluvide builds a real-time fleet and driver reporting system for UAE logistics and last-mile operators. Drivers confirm each stop from a mobile handset or WhatsApp — delivered, failed, or partial, with proof of delivery — a layer aggregates route status live, exception alerts fire on failed or delayed stops so the office can act during the day, and the end-of-day report generates itself and syncs into your TMS.
The problem
What the day actually looks like — described as an operator would, not as a brochure.
A driver leaves the depot with twenty or thirty stops on the manifest. From that moment until he calls in — if he calls in — the office has no reliable picture of what has actually been delivered. A customer phones asking where their order is, the coordinator puts them on hold, calls the driver, waits for him to pull over, and calls the customer back. Multiply that by every route, every day.
The status that matters is not where the van is. It is whether stop number fourteen was delivered, failed, or dropped as a partial — and right now that lives only in the driver's memory and a stack of paper delivery notes on the passenger seat. Nobody in the office can see it until the van comes back and someone types it up.
So the daily report is compiled after the fact. Someone collects the paper notes, cross-checks them against the manifest, chases drivers for the stops that don't reconcile, and keys the whole thing into a spreadsheet the next morning. By the time the report exists, the day it describes is over. A failed delivery you could have re-attempted at 2pm is now a re-attempt tomorrow — and an unhappy customer today.
Proof of delivery carries the same lag. A signature on paper is fine until a client disputes a drop and finance has to find the note weeks later. The information exists; it just isn't captured anywhere you can query it, and it isn't available at the moment a decision actually depends on it.
Why the obvious fixes fail
None of them are stupid. They fail because the work itself stays manual — they just move who does it.
GPS and telematics tell you where the van is and how fast it's moving. They do not tell you whether the parcel was delivered, refused, or dropped as a partial. A van parked outside an address for ten minutes could be a successful drop or a failed one — the location trace can't tell the difference, because the outcome lives with the driver, not the vehicle.
Asking drivers to phone the office at each stop sounds simple and never holds. Calls get skipped when the route is busy, they interrupt driving and add risk, and what does get reported is still written on a pad and keyed in later. It puts the reporting burden on the person least able to carry it, at the worst possible moment.
The reconciliation spreadsheet is always yesterday's picture. It's accurate, eventually — but it exists only after the vans are back and someone has spent the evening or the next morning compiling it. Anything it reveals is already history. You can't act on a failed stop from a report that arrives after the window to fix it has closed.
What we build
The honey step is where a person stays in control. Everything else is the typing and checking the system does for you.
Engineering decision. We read outcomes, not vehicles. Only the driver's confirmation creates a delivery record — the system never infers one from location — and the office is interrupted only by the exceptions that need a person: a failed stop, a partial, a run-late window.
At each stop the driver marks the outcome — delivered, failed, or partial — from a mobile handset or straight from WhatsApp using the WhatsApp Cloud API. The confirmation is structured against the manifest, so "stop 14, failed, customer not present" is recorded as data the moment it happens, not written on paper for later.
The confirmation carries its evidence: a photo of the drop, a captured signature, or a short reason code on a failure. Each artefact is attached to the stop and stored where it can be retrieved — so a disputed delivery weeks later is a lookup, not a hunt through a box of paper notes.
An aggregation layer rolls every driver's confirmations into a live view of the fleet — which stops are done, which are outstanding, which failed. Google Maps context places each stop in sequence. The office sees the actual state of the day as it unfolds, instead of reconstructing it afterwards.
Failed and partial stops, and stops running late against their window, raise an alert to the coordinator during the day. The system surfaces only the exceptions that need a human — a re-attempt, a call to the customer, a reroute — so the office acts on problems while there's still time to fix them.
Because every stop is confirmed as it happens, the end-of-day report is generated from live data rather than hand-compiled. It reconciles delivered, failed, and partial stops against the manifest, flags anything unconfirmed for a human, and syncs the confirmed outcomes back into your TMS or ERP.
We confirm exactly which of your systems connect during scoping. The pipeline commonly touches:
Engineering decisions
What the fixed price covers, and the things we will not build. Both are written into the scope before we start.
In scope
Not in scope
What you get
Most driver-reporting builds go live in about three to five weeks. What moves it inside that range is the number of routes and drivers, whether drivers confirm on the app or over WhatsApp, and how many systems it connects to. No hourly billing, no surprises.
A short call, then we document how your drivers report today and how your daily report gets built — including the exceptions and the workarounds people built around it. You get a written scope, acceptance criteria and a fixed price before any build begins.
You get: Scope + fixed quote
WhatsApp Cloud API, Driver mobile app, TMS / ERP and the rest of your stack — no rip-and-replace. Outputs are structured and checked against your own data, not trusted blindly.
You get: Working system on your stack
The human step is tested with the people who will own it before anything goes out. Logging and alerts so problems surface early, documentation your team can read, and you own the code and the accounts.
You get: Approval gate, monitoring, full ownership
Tell us how your drivers report today and how your daily report gets built. We reply within one business day, and the price is fixed after a free scoping conversation.
Questions operations managers ask
If yours isn't here, send it on WhatsApp and you will get a straight reply.
Prefer a form? Contact pageAt every stop the driver marks the outcome — delivered, failed, or partial — and captures proof of delivery: a photo, a signature, or a short note on why a drop failed. It takes a few seconds per stop and replaces the paper delivery note, so the status is recorded at the moment it happens rather than reconstructed later.
Related solutions
Services behind this build
Each service page lists exactly what is included and the questions owners ask before they start.