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Solution blueprint

A voice agent for high-volume customer enquiries

How we deliver a voice agent that resolves routine status and booking calls, and hands complex calls to people with full context.

Logistics & Supply Chain

This blueprint describes our typical approach to this kind of problem. It is not an account of a specific client engagement, and outcomes depend on each organisation's data, systems and goals.

The challenge

Contact centre teams face long queues at peak times, with a large share of calls asking for delivery status or simple booking changes that could be handled automatically.

Outcomes we measure

  • Share of eligible calls resolved without transfer
  • Average wait time at peak periods
  • Customer satisfaction for automated calls
  • Agent time recovered for complex enquiries

Our approach

  1. 01

    Analyse call reasons and select journeys suitable for automation.

  2. 02

    Integrate the agent with the transport management system for live status and booking changes.

  3. 03

    Design disclosure, verification and escalation paths with the contact centre team.

  4. 04

    Test with recorded call scenarios covering accents, background noise and interruptions.

  5. 05

    Launch to a share of traffic first, then expand as quality targets are met.

Architecture

Solution architecture

  1. Layer 1

    Telephony

    SIP trunk or cloud contact centre with warm transfer

  2. Layer 2

    Speech

    Streaming speech recognition and natural voice synthesis

  3. Layer 3

    Agent

    LLM with tools for status lookup and booking changes

  4. Layer 4

    Guardrails

    Caller verification, topic limits and escalation triggers

  5. Layer 5

    Analytics

    Call summaries, intent trends and quality sampling

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