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Route to where your drivers actually stop. Not where the map says. 

AllDelivery learns micro-locations and real service times from your fleet's GPS history — then optimises every route around what actually happens on the ground.

01

The map sends drivers to the wrong place

Standard routing aims at the geocoded address — the centroid of the building, not the door your driver needs.

Geocoded address Planned route Walk to the real door

Proven at scale with a national postal operator

2.1B+
GPS data points
836K
delivery points
556
depots
1,800+
carriers
7
vehicle types

Your drivers know the routes.Your system doesn't.

Every day, your drivers adapt to reality — they know which entrance to use, where to park, how long the third floor takes. But your planning system routes to a pin on a map and estimates a flat 30 seconds per stop. The gap between what your system thinks and what actually happens is where you lose time, fuel, and on-time delivery.

1

Addresses that miss the mark

Geocoded addresses point to the centre of a building — not the entrance, the loading dock, or the parking spot your driver actually uses.

2

Service times that are guesses

A flat per-stop estimate ignores reality: an apartment block with a lift takes three times longer than a house with a front-door mailbox.

3

Paper processes that can't scale

Manual manifests, hand-drawn district boundaries, route knowledge locked in individual drivers' heads — none of this survives growth or turnover.

PLAN

Routes that fit reality

A constraint-based VRP solver builds multi-stop routes that respect time windows, capacity, driver shifts, and seven vehicle types — in one click.

15–25% fewer kilometres driven · 20–35% more stops per hour

Route optimisation

Plan a thousand stops, not by hand

All the heavy optimisation happens under the hood — the dispatcher just sees one button. Routes recalculate automatically as conditions change.

Vehicle profiles

Seven vehicle types out of the box

From delivery vans to e-bikes to pedestrian last-mile — each profile with its own speed, access, and routing rules.

Improves daily

Learns from every route

GPS feedback from each delivery refines the next day's plan. Routes get tighter as your fleet teaches the system.

RUN

From paper to digital, with audit trail

Replace paper manifests and manual dispatch with a digital workflow that's auditable from depot to door.

Up to 40% less dispatcher time · 100% auditable from depot to door

Operations digitalisation

Every parcel scanned, every handoff logged

A single dashboard for sorting, dispatch, and real-time delivery status. No more reconciling spreadsheets.

Driver mobile app

Live manifests, navigation, proof-of-delivery

Drivers see their route, scan parcels, and capture proof — all in one app. Works offline.

Auditable

Every status change tracked

From sorted at the depot to delivered at the door — full chain of custody for every parcel.

LEARN

Location intelligence built from your own fleet

Your GPS history becomes micro-locations, learned service times, and real-world POI — the data layer that makes route optimisation actually work.

Sub-5m stop point accuracy · 30–50% more accurate service times

Micro-locations

Sub-5m accuracy on every stop

AI clusters GPS stop points into precise micro-locations — the actual door, loading dock, or mailbox. Not the geocoded centroid.

Service times

Learned per building type

Block of flats with a lift takes 47s; detached house with a front-door mailbox takes 18s. Real measurements from your fleet.

Points of interest

Parking, no-go zones, courier access

AllDelivery learns where your drivers actually park, which streets are off-limits, and where the back-door access is.

Proven on a national postal network

AllDelivery is the delivery-district and last-mile optimisation system Solvesall built for Pošta Slovenije, the national post. It runs live across the network today — and it's now a product for posts and CEP / courier operators everywhere.

Pošta Slovenije — the national post

~€10M

saved across the national delivery network in 2025

District & route optimisation

A VRP engine designs delivery districts and rounds, then sequences the daily letter and parcel run.

Carrier mobile app

Guides postmen and couriers on the ground and captures field data as they deliver.

GPS learning loop

Machine-learns true door locations and per-stop service times, feeding them back into the optimiser for accuracy.

Recognition

Figures from the Pošta Slovenije deployment; 2025 savings are an internal estimate pending customer attestation.

Built for the operators who move Europe's mail and parcels

National Post Operators

Managing hundreds of depots, thousands of carriers, and diverse vehicle fleets across an entire country.

  • Legacy systems that don't learn from operational data
  • Manual district planning revised once a year — if that
  • No GPS intelligence feeding back into route optimisation
  • Regulatory pressure on sustainability and fuel reduction

Private Couriers & Parcel Companies

Scaling fast and need to optimise without relying on tribal knowledge that walks out the door with every driver.

  • Driver turnover means route knowledge is constantly lost
  • Service times are unpredictable across different delivery areas
  • Growing stop counts without proportional fleet expansion
  • Competing on delivery speed with limited operational data

Enterprise-grade. European values.

EU Data Residency

Your data stays in European infrastructure. No transatlantic transfers, no ambiguity.

GDPR by Design

Automated data anonymisation at 3 months and deletion at 5 years. Privacy isn't an afterthought — it's built into the processing pipeline.

Flexible Deployment

Run AllDelivery on your infrastructure or ours. Dockerised architecture adapts to your security and compliance requirements.

Built for Integration

AllDelivery connects to your existing systems during onboarding. Our API-first architecture means we can hook into any data source — no off-the-shelf connectors that almost fit.

Measurable impact from day one

Operators using AllDelivery see improvements across the board.

15–25%
reduction in total route kilometres
20–35%
improvement in stops per hour
95%+
on-time delivery rate
10–20%
reduction in fuel costs

Results vary by fleet size, geography, and baseline maturity. All figures are indicative ranges from deployments.

Frequently Asked Questions

Weeks, not months. We onboard one depot at a time, starting with GPS data collection and integration setup. You see initial route optimisation results within the first month.
European data centres. All GPS data, route plans, and analytics stay within EU infrastructure. We enforce automated GDPR retention — anonymisation at 3 months, deletion at 5 years.
We start collecting from day one. Drivers carry our lightweight companion app (or we integrate with your existing one), and the system begins learning micro-locations and service times immediately. Route optimisation improves with every delivery.
Yes. AllDelivery integrates via REST API with your existing mobile solution, TMS, and WMS. We also provide our own companion app if you prefer an all-in-one setup.
Seven out of the box: cars, delivery vans, motorcycles, e-bikes, bicycles, electric tricycles, and pedestrian routes. Each vehicle type has its own routing profile with accurate speed, access, and turn penalty models.
Tailored to your fleet size and depot count. We don't believe in one-size-fits-all pricing for logistics. Book a demo and we'll put together a proposal that matches your operation.
Yes, from a single depot to hundreds. Each depot gets its own optimisation context — separate vehicles, routes, and service time models — while sharing the same platform and analytics.

Ready to route smarter?

See how AllDelivery can optimise your fleet's routes using your own GPS data. No commitment, no generic demo — we'll show you what it looks like with your operation.

Or reach us directly at info@solvesall.com