Shipment tracking voice agent that gets your desk off the phone.
Automate routine status requests and carrier check calls, update the TMS, and escalate exceptions with a concise shipment history.
Nothing is finalized until a human approves it.
Where the time and money actually go.
Teams spend hours calling drivers and carriers, answering “where is my freight,” and re-keying status while exceptions still surface late.
Carrier reps, dispatchers, customer service, shippers
Trigger to act: Check-call labor is high, customer status volume is growing, nights/weekends are weakly covered, or tracking data quality is inconsistent.
The result you can model before you sign.
Illustrative only: 10,000 routine call minutes/month × $0.65 human cost/minute minus estimated $0.10–$0.22 platform usage = roughly $4,300–$5,500 monthly gross capacity.
The outcome, plainly: Automate routine status requests and carrier check calls, update the TMS, and escalate exceptions with a concise shipment history.
Inputs in. A cited, review-ready result out. Your expert decides.
A Voice AI + workflow agent. Every material fact is grounded in an allowed source and returned with its identifier, no invented data.
OpenAI Realtime 2.1 mini or an evaluated equivalent for low-latency conversation; Claude Sonnet 4.6 or GPT-5.6 Terra for post-call verification and structured summaries. Twilio Programmable Voice; ElevenLabs only where voice quality or speech tooling wins the eval.
- Shipment and stop details
- carrier contacts
- GPS/ELD feed
- appointment windows
- status codes
- customer communication rules
AI-Native, not autonomous. Judgment stays with your people.
The machine does the work; the human’s role narrows to the one thing that matters, judgment. That constraint is what makes it safe to deploy.
Humans handle safety incidents, cargo loss, detention disputes, abusive callers, identity uncertainty, and any operational commitment outside policy.
A scorecard, not a demo. We baseline what breaks in production.
Every deployment ships with an evaluation suite. These are the numbers we baseline before launch and monitor after.
The category is crowded. Most of it isn’t built for your workflow.
Fixed-scope, tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in from day one. A price you own, not a subscription you rent.
It plugs into the stack you already run.
No rip-and-replace. Access is scoped to the minimum data necessary, isolated per tenant, and fully logged.
Transparent by design. The build price buys the workflow and the proof.
A fixed implementation fee plus a monthly bill that scales with volume and governance. No hidden seats.
- ✓ One process / scope
- ✓ Live workflow on your data
- ✓ Baseline evaluation suite
- ✓ Measured vs. current process
- ✓ Full scope & integration
- ✓ Human-review UI & audit trail
- ✓ Write-back to your systems
- ✓ Production evals & monitoring
- ✓ Multi-facility rollout
- ✓ Advanced security & compliance
- ✓ Custom control & escalation
- ✓ Dedicated evaluation program
3,000–15,000 connected voice minutes/month, telephony, speech, model and recording storage.
Planning assumptions, not vendor quotations. Your Telephony and other platform licenses are separate and owned by you. Figures confirmed during scoping.
“His vast knowledge of technologies and a natural problem-solving mindset consistently lead us through complex challenges with clarity and confidence.”
Questions serious buyers ask.
Does the AI act on its own?
No. Humans handle safety incidents, cargo loss, detention disputes, abusive callers, identity uncertainty, and any operational commitment outside policy. The system drafts and recommends; a human approves every consequential action. Explicitly excluded: no driver surveillance beyond contractual/legal basis; no safety instruction; no false ETA commitment; no automated closeout of a high-risk exception.
How do you stop it inventing facts?
Every material claim is grounded in an allowed source record and returned with its source identifier. The system separates observed facts, model inference, and missing information, and routes to a human whenever confidence is low, evidence conflicts, or an adverse outcome is possible.
What does it cost to run each month?
A usage bill of roughly $800–5,800/month (3,000–15,000 connected voice minutes/month, telephony, speech, model and recording storage), plus a $2,200/month managed retainer for evaluation, monitoring and maintenance. Your existing platform licenses are separate and already yours. Exact figures are confirmed during scoping.
Do we need a ChatGPT or Claude subscription?
No consumer ChatGPT or Claude subscription is required for the production workflow. The client needs an approved API/cloud billing account. Workspace seats are optional for internal prototyping and administrator access.
How is this different from project44?
Tools like project44, FourKites, and MacroPoint/Descartes are broad platforms you adapt to. This is a fixed-scope implementation tuned to your systems and rules, grounded in your data, with the human gate and audit trail built in, and a transparent price instead of a seat subscription.
How long until it’s live, and how do we prove it works?
This is a validate next. We baseline “Automated check-call rate” first, then measure against that baseline. You see the scorecard before expanding scope, the evaluation suite ships with the system, not as an afterthought.
Bring your real numbers. Leave with a fixed-scope plan.
A 30-minute engineering-led working session, no slideware. You leave with a sized opportunity estimate, a fixed-scope pilot plan, and the integration & human-review path mapped.
VP of Growth at ViitorCloud · senior delivery owner confirmed before paid work