Out of Home network · AI agents

Kanguro speeds up the shift to Out of Home.

We change the delivery decision with the recipient's consent, grow the network where it's needed and resolve incidents during operations. More parcels at pickup points, more parcels per stop.

Illustrative simulationShipment KG-284910
Planned deliveryHome · C/ Mayor 12

MaxShall we leave it at Librería Sants, 52 m away? Pick it up whenever suits you.

HugoOK, send it there.

New destinationLibrería Sants · 52 m away
The carrier's problem

Last-mile margin is lost parcel by parcel.

A van carries the cost of a driver, fuel and distance. Delivering to scattered homes, it piles up stops. Concentrating parcels at points means more deliveries per stop and a better use of every route.

Home delivery10 parcels · 10 stops
Depot
Deliveries concentrated at points10 parcels · 3 stops
Depot

Illustrative diagram

The shift depends on two conditions.

01

The recipient accepts the alternative.

By default, they ask for home delivery. An automated notice rarely changes that decision.

This is where Max comes in
The full circuit

Max persuades. Leo grows the network. Conan resolves.

Max proposes the change of destination. Conversations help reveal where coverage is missing. Leo drives the acquisition of new points. Conan handles the incidents that come up during operations.

1

Max

Diversion

Offers the recipient a nearby point and, once they accept, handles the change of destination.

More parcels at pickup points

Coverage need
2

Leo

Coverage

Turns a coverage need into acquiring shops in the area.

More alternatives near the recipient

Active point
3

Conan

Incidents

Handles operational incidents with the actions it is allowed to take.

Operations that keep running

Every new point gives future diversions more alternatives.
Max · Diversion

The recipient decides. Kanguro persuades them.

Before the route leaves, Max contacts the recipient, offers a nearby point and answers their questions. When the recipient accepts, Max handles the authorised change of destination.

MaxDiversion agent
Illustrative simulation
HugoRecipient

Hi Hugo, I'm Max from Kanguro. Your parcel arrives today between 4:00 and 8:00 PM at C/ Mayor 12. Will you be home?

No… I leave at 3:30 PM.

I can drop it off at Librería Sants, 4 min away. Pick it up whenever — they hold it 48 h.

Can't they bring it tomorrow?

Tomorrow it would go on another route, no guaranteed window. At Librería Sants you have it today around 5:10 PM.

OK, send it there.

Destination updatedC/ Mayor 12 · homeLibrería Sants · C/ de Sants 84

Done. You'll get the pickup code when it arrives at the point.

  1. Conversation
  2. Consent
  3. Change of destination
  4. Confirmation
  • 01

    Proposes, never imposes

    The recipient can accept the point or keep home delivery.

  • 02

    Explicit consent

    The destination only changes when the recipient accepts.

  • 03

    An action on the shipment

    Max handles the change of destination and confirms the new point to the recipient.

Leo · Coverage

Max finds where a point is missing. Leo opens it.

When recipients keep saying the point is too far, a coverage need emerges. That information guides the acquisition of shops in the area. Every activated point can become a new alternative for recipients.

Aggregated pattern · illustrative distribution
  • Rejected for distance
  • Pickup radius
  • Coverage need
Existing point“That point is too far for me”Coverage needCandidate shopNew Kanguro PointNew alternative for Max

Each red dot is a different recipient who turned down the alternative because of the distance.

  1. Rejections for distance
  2. Coverage need
  3. Shop acquisition
  4. Active point
  5. New alternative for Max
  • 01

    Demand that is heard

    Areas are prioritised by what recipients say in their conversations with Max.

  • 02

    Acquisition in the area

    Leo drives outreach to local shops so they join as Kanguro Points.

  • 03

    A network that feeds itself

    Every point activated is one more alternative Max can offer.

Conan · Incidents

More deliveries bring more incidents. Conan resolves them.

A scan fails, a parcel goes missing or a point can't receive. Conan checks the context and carries out the actions it is allowed to take. If the case needs human intervention, it hands it over to the team.

ConanIncident agent
Illustrative simulation
Librería SantsKanguro Point
MomentThe pointConan
Incident“I can't scan this parcel.”Logs the incident and asks for the shipment reference.
Context“I have it right here at the counter.”Checks the shipment: it shows as delivered.
Action or escalation
✓ Within its permissionsCorrects the shipment status.
↗ Outside its permissionsHands it to the team with the context.
ResultIncident resolved and logged
  • Status corrected
  • Point informed
  • Case logged
  1. Incident
  2. Context
  3. Action or escalation
  4. Result
  • 01

    Understands the blocker

    Connects what the point, the recipient or the driver explains with the real status of the shipment.

  • 02

    Acts within its permissions

    It only carries out the actions authorised for each type of case.

  • 03

    Escalates with context

    If the case needs human intervention, it hands it to the team with all the information.

Proof and figures

It already works, at real scale.

Our own platform, running every day with carriers.

3M+Parcels transactedParcels transacted through the Kanguro platform.
6,000+Kanguro PointsActive pickup points across the network.
5CarriersCarriers competing with each other, on a single platform.
4CountriesSpain, Germany, France and Portugal.
45–50%OOH conversionOf contacted recipients switch from home delivery to a pickup point.
Connected with

Kanguro platform data.

Platform and team

The agents talk and act on operations.

The value shows in what changes after a conversation: an updated destination, an activated point or a resolved incident. The agents work with context and the platform's integrations.

01Conversation02Decision03Action in the system04Verifiable result
MaxHugo accepts a nearby pointAuthorised change of destinationDestination updated on the shipmentDelivered at Librería Sants
Leo“That point is too far”, across many conversationsArea with a coverage needAcquisition of a local shopNew Kanguro Point active
Conan“I can't scan this parcel”Action within its permissionsShipment status correctedCase logged
FAQ

Frequently Asked Questions

Straight answers, depending on how you use the network.

Before the route leaves, Max contacts the recipient, offers a nearby point and answers their questions. If they accept, Max handles the change of destination and confirms the new point. If they prefer home delivery, the shipment carries on as planned. Result: more parcels at pickup points and more parcels per stop.

The destination only changes when the recipient explicitly accepts during the conversation. Max proposes the alternative and explains its conditions; without that yes, the shipment goes on to their home.

30 days to production. API integration: give us access and we do the heavy lifting. No hardware, no deposits, no infrastructure to build.

More than 6,000 pickup points across 4 countries, with more than 3 M parcels transacted. The network grows where conversations show a nearby point is missing: Leo drives the acquisition of shops in those areas.

Conan handles operational incidents — a scan that fails, a parcel that goes missing or a point that can't receive — with the shipment's context. It only carries out the actions it is allowed to take and, if the case needs human intervention, hands it over to the team.

Pay per parcel, zero fixed cost. You only pay for what we move — no CAPEX, no platform fees, no minimums.

No. The network is neutral and already live with 5 carriers — Amazon, UPS, GLS, Paack and Ontime — on a single platform. Each carrier sees an orchestrated mesh, not separate silos.

One call. One day of operations. Kanguro in action.

See how our agents handle diversions, grow coverage and deal with incidents. Let's review together how Kanguro fits into your operation.

What do you need?

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