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VoiceOps: 24/7 Voice Automationfor Shipment Status, Pickup & Exceptions

Reduce repetitive inbound calls (WISMO, pickup requests, delivery issues) by handling them instantly, 24/7, while routing exceptions to humans with full context.

CORE PROMISE
AnswerVerifyActUpdateHandoff

Voice-first, integration-backed, no hallucinations

Best For:
3PLs
Freight Forwarders
Carriers
Last-Mile Delivery
Customer Support
Ops Desks

Common pain points we solve

Traditional IVR menus frustrate callers, and human teams get overloaded—especially after hours and during peak periods. The cost isn't only call volume—it's ops disruption, SLA misses, and repetitive work blocking exception resolution.

Where is my shipment? (WISMO)

Pickup scheduling / rescheduling

Delivery delays, damaged/ missing items

POD requests and confirmation

Address changes and special instructions

"I can't reach the driver / warehouse" escalations

Where this fits

Seamlessly integrates into your existing communication flow

Teams Involved

  • Customer support
  • Ops desk
  • Dispatch
  • Documentation
  • Exceptions/escalations

Channels

  • Phone calls
  • Public support number
  • Internal partner line
  • After-hours queue

Ideal Pilot Scope

  • 1 phone line or call queue
  • 6–8 common intents
  • 1–2 core integrations
  • Clear human handoff rules

Inputs & Outputs

What the voice agent consumes and what it delivers

Inputs

  • Caller Speech + DTMF

    Natural language + optional keypad

  • Shipment Reference(s)

    Provided by caller during verification

  • Real-time Data Sources

    Tracking/TMS/shipment DB

  • Knowledge Base

    SOPs, policies, returns rules, service levels

Outputs

  • Spoken Answer + Confirmation

    Optional SMS/email follow-up

  • Ticket/Case Created

    Intent, severity, shipment ID, transcript

  • Action Completed

    Pickup scheduled/rescheduled if integrated

  • Exception Routed

    To right queue/owner with context

  • Dashboards & Audit Logs

    Volume, containment, actions taken

What We Extract

Example fields per document type—start small and scale

Shipment Identifiers

  • Shipment ID / Load ID / Booking No.
  • AWB No. / BOL No. / Container No.
  • PO / Invoice references

Parties & Locations

  • Shipper / Consignee / Carrier
  • Origin / Destination addresses
  • Pickup / delivery location codes

Dates & Operations

  • Pickup date, delivery date, ETA/ATD/ATA
  • Weight, volume, package count
  • Service level / mode (air/sea/road)
  • Signature name (POD), delivery status

The Workflow

Step-by-step document processing pipeline

Step 1

Call Received

Customer/partner calls the ops line

Step 2

Identify Caller

Confirm phone, shipment ID, or reference

Step 3

Understand Intent

Classify: status / pickup / exception / POD

Step 4

Retrieve Facts

Pull real-time status from systems + SOPs

Step 5

Confirm Details

Repeat back shipment ID/date/location

Step 6

Take Action

Schedule, create ticket, escalate, send confirm

Step 7

Log & Route

Accuracy trends, exceptions, processing time

What ApexIQ Delivers

Intent Map + Call Flows

0-3 intents to start

Conversation Design

Short, natural, fast handoff

RAG Knowledge Layer

Answers from approved docs only

System Integrations

Tracking TMS + ticketing

Auto-Actions

Create ticket, schedule, confirm

Guardrails

Verification, thresholds, escalation

Analytics Dashboard

Containment, handle time, intents

Continuous Improvement

Weekly tuning from call patterns

What the Agent Can Handle

Start with high-volume, low-risk intents

Self-Serve (High ROI)

Shipment Status / ETA

Delivery window lookup

Pickup Scheduling

Schedule or reschedule pickups

POD Request

Send link or confirm availability

Policy Q&A

Return policy, cutoffs, requirements

Exception Intake (Route, Don't Solve)

Delivery Failed / Address Issue

Route to resolution team

Damaged/Missing Item

Claim intake and routing

Driver Unreachable

Urgent escalation handling

Shipment Stuck / Delay

Severity scoring + escalation

Accuracy & Safety Controls

This is the make-or-break section for client trust. No hallucinations, no making things up—just reliable automation with proper guardrails.

System-of-Record First

Starts from live records (TMS, not the model)

RAG with Citations

Reply: answer + from approved docs only

Confirmation Loops

Verify shipment ID, dates, addresses

Confidence Thresholds

Uncertain? Ask clarifying or route to human

No Hallucination Policy

Data not found = escalate (safe exit route)

Audit Logs

"Transcript + summaries + actions taken"

Honest Positioning

No hype, no fake claims

Target: Meaningful deflection of repetitive calls + faster response times

Not: "Replace all agents"

Exceptions still route to humans with better context

Pilot Plan (2–4 Weeks)

A proven timeline to get your voice AI to production

W1Week 1

Design + Data

  • Choose top intents (WISMO + pickup + exception)
  • Collect call transcripts + SOP/policies
  • Define routing/escalation rules and success criteria
W2Week 2

Build Voice Flows + RAG

  • Implement intent handling and verification
  • Build knowledge layer from approved docs
  • Setup telephony + sandbox integration
W3Week 3

Integrate + Shadow

  • Connect tracking/TMS lookup + ticketing
  • Run limited rollout (after-hours or subset)
  • Tune intents, reduce misroutes
W4Week 4

Expand + Harden

  • Add 2–3 more intents
  • Improve analytics and monitoring
  • Deliver runbooks + escalation playbooks

Telephony & Deployment

Flexible options: Twilio/SIP/existing PBX integration

Dedicated Number

Provision a new number for AI handling

Existing Queue Integration

Integrate with your current call routing

Hybrid Routing

AI handles first, human handoff available

Call Routing Design Options

AI handles firstFor certain intents
Press 0 / say agentImmediate human handoff
Smart handoffAI collects details first, then transfers

Success Metrics

What we measure and what you can expect

40-60%Call Containment Rate
50%+WISMO Call Reduction
24/7Availability
3xFaster Response Time

Pilot KPI Targets

Containment rate (calls resolved without human)
SLA outcomes (exception response times)
Average wait time + handle time improvement
Pickup scheduling completion rate & Reduction in live-agent call volume
Escalation accuracy (right queue/owner)
Customer experience signals (drop-offs)

What We Need From You

Client checklist to kick off the voice pilot

1
Top 20 FAQs + SOPs/policies (approved source docs)
2
Sample call recordings/transcripts (anonymized)
3
Access method for live tracking/TMS (API or secure export)
4
Ticketing destination (helpdesk/Jira/ServiceNow)
5
Escalation rules + which team owns what
6
Pilot owner + 1–2 reviewers for weekly tuning

Ready to turn shipment PDFs into validated structured data?

Book a consultation or request an assessment—we'll recommend the best first doc type and field set to pilot.