LOGISTICS

AI Agent for Last-Mile Incident Management in Logistics

The last mile decides whether the customer returns: the agent spots each delay or issue, triages it and triggers the fix with the driver before it escalates.

AI Agent for Last-Mile Incident Management in Logistics

An AI agent for last-mile incident management in logistics integrates with your tools and current flow, with human supervision and traceability. Before automating we define the task, exceptions and success criteria.

We work from Barcelona and Madrid and remotely across Spain, Europe, LATAM and the United States. The agent adapts to your sector and real process, not the other way round.

We hand over the agent, its configurations, repositories and documentation in accounts owned by your company, without lock-in and with the ability to audit or rotate credentials.

The last mile decides whether the customer returns: the agent spots each delay or issue, triages it and triggers the fix with the driver before it escalates.

THE CHALLENGE

last-mile incident management in logistics

In last-mile incident management in logistics, manual work is slow, depends on staff and leaves room for error; automating it without knowing the sector's flow is a risk. The difference is an agent with rules, exceptions and control, built for your operation.

  • Failed deliveries without traceability

    Recording absences, wrong addresses or rejections by hand scatters information and hampers resolution.

  • Rescheduling that doesn't fit

    Rescheduling failed deliveries without cross-referencing routes and available windows lengthens time to delivery.

  • Unanswered client claims

    Handling last-mile incidents one by one without a central flow overloads the team and hurts the experience.

APPROACH

last-mile incident management in logistics

An agent with rules, exceptions and milestone control, adapted to your sector.

  1. Capturing and classifying incidents

    The agent logs each incident with type, cause and proof and classifies it by severity and zone.

  2. Resolution and rescheduling proposal

    It suggests new delivery windows by cross-referencing active routes and recipient availability.

  3. Redelivery rules and exceptions

    It applies retry, cost and per-client or per-product exception policies before proposing.

  4. Escalation to operations manager

    It presents critical incidents and proposals for the manager to decide the final resolution.

DELIVERABLES

last-mile incident management in logistics

An operational, traceable agent under your control.

  • Traceable incident log

    History of each failed delivery with cause, proof and resolution status.

  • Redelivery plan

    New windows scheduled per recipient and route with confirmation.

  • Client notification

    Status and rescheduling communications sent with traceability.

  • Success rate report

    First-attempt delivery rate and aggregated failure reasons.

TRUST

AI applied to real sector processes with supervision

AI agents adapted to your sector's real operations since 2008, with human supervision, traceability and milestone control in Barcelona, Madrid and remote. Code and documentation under your control, without lock-in.

  • Adapted to your sector's real operation.
  • Human supervision with milestone and exception control.
  • A measurable first release before expanding scope.
  • Code, configurations and documentation under your control.

FAQ

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