Evalgent

Voice agent testing for logistics and delivery

Evalgent tests your voice agent for logistics before real drivers and customers do. Scenario coverage across delivery coordination, dispatch, returns, and tracking. Caller profiles that reflect noisy vehicles and clipped speech. Outcome verification against your dispatch system and TMS.

What logistics voice agents have to get right

Four structural realities that determine whether a logistics voice agent ships smoothly or strands a driver.

Calls come from noisy vehicles

Drivers call from moving trucks and vans with engine and road noise in the background, often on weak signal. A voice agent that works in a quiet demo has to keep parsing addresses and instructions correctly when the line is far from clean.

Driver speech is short and clipped

Drivers talk in quick bursts, interrupt mid-prompt, and rarely repeat themselves. The agent has to handle barge-in, partial utterances, and rapid status check-ins — not the slow, complete sentences that scripted demos assume.

Driver pools are multilingual

Fleets span many languages and accents, and street and place names have to land exactly right. Mishearing an address or a route name sends the wrong driver to the wrong place — a failure the agent must be tested against across the real language mix.

Dispatch updates happen in real time

The voice agent has to write to the right systems with the right data, live. Saying "route updated" is not the same as updating the dispatch system correctly. Downstream state has to be verified, not assumed.

How Evalgent tests logistics voice agents

Five capabilities logistics teams need before launching a voice agent — and depend on continuously after.

Scenarios tailored to logistics workflows

Pre-built scenario library for delivery ETA updates, rescheduling, failed-delivery recovery, driver dispatch, route updates, pickup scheduling, returns, and shipment tracking. Each scenario has explicit success conditions and downstream state checks.

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Caller profiles representing real driver conditions

Profiles vary across seven dimensions — accent, speech pace, interruption level, latency tolerance, language, user behaviour, and voice gender — including clipped speech and background noise from vehicles. The full matrix runs against every scenario.

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Dispatch and TMS outcome verification

Every scenario verifies downstream system state. Did the ETA actually update? Did the route reroute? Did the pickup book? Evalgent checks your transportation management system (TMS), dispatch system, or warehouse management system (WMS) — transcript-only scoring isn't enough.

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Audit trail and evidence chain

Every evaluation produces a full record — scenarios tested, profiles used, metrics measured, individual call recordings, and reviewer signatures. The evidence chain is exportable and ready for operations reviews.

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Regression testing before every release

Re-run the same evaluation suite after every prompt change, model swap, or route-logic edit. Per-scenario deltas surface regressions before they reach drivers, dispatchers, or customers.

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Use-cases of voice AI in logistics

Production use cases logistics teams ship voice agents for — from delivery coordination to warehouse operations. Evalgent tests across every category.

Delivery coordination

  • Delivery ETA updates
  • Delivery rescheduling
  • Failed-delivery recovery
  • Address confirmation
  • Delivery instructions

Driver & dispatch

  • Driver dispatch
  • Route updates
  • Pickup scheduling
  • Status check-ins

Returns & exchanges

  • Return pickup scheduling
  • RMA intake
  • Exchange coordination

Customer support

  • Shipment tracking
  • Delivery complaints
  • Damaged-goods claim intake
  • Support callbacks

Operations

  • Warehouse coordination
  • Capacity inquiries
  • B2B shipment scheduling
  • Satisfaction surveys

Frequently asked questions

Know if your voice agent is ready for production