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AI for Logistics & Freight operations—faster exception handling, cleanerdocuments, better SLA control

We automate the work logistics teams do every day: inbound emails, attachments, shipment documents, exceptions, routing, and follow-ups—turning unstructured operations into structured workflows integrated with your tools.

ISO-backed delivery
Security-first
Integration-ready

Outcomes logistics & freight teams target with ApexIQ

Reduce manual email triage and routing time

Faster exception response and escalation handling

Higher accuracy in shipment document extraction and validation

Fewer follow-ups for missing shipment references and fields

Better SLA visibility: ownership, aging, backlog, bottlenecks

Cleaner updates into TMS/ERP/CRM/helpdesk workflows

Common pain points we solve

Limited visibility into queues, SLAs, and exception reasons

Shipment exceptions handled late or inconsistently

Missing/incorrect shipment references causing back-and-forth

Claims/dispute workflows slowed by document gaps

Important documents buried in email threads

Manual data entry into TMS/ERP/CRM systems

Inbox overload from customers, carriers, and internal teams

Background Effect

Use cases we automate

Inbound Ops Email Triage & Routing

Classify intent/priority and route to the right queue/owner.

Exception Detection + Escalation

Identify exceptions, route by severity, trigger alerts and tracking.

Shipment Document Extraction

Extract shipment IDs, dates, parties, weights, and key fields.

Rate Confirmation / Quote Processing

Capture rate/quote info, validate references, route for action.

Claims Intake + Document Packaging

Structure claim requests, collect documents, route to claims handling.

Customer/Vendor Follow-up Automation

Detect missing fields and trigger templated follow-ups.

Ticket Creation + Assignment

Auto-create tickets and keep operational context linked.

Cross-Document Reference Matching

Match shipments across docs/emails using IDs and entity signals.

Ops Dashboards

Quick answers for internal processes and recommended next steps.

Ops Copilot for SOP

Quick answers for internal processes and recommended next steps.

Before vs After

Compare the traditional manual workflow with AI-powered automation

Before (manual ops)

Slow, manual, error-prone

Email + PDFs
Manual Reading
Copy/Paste IDs
Check Missing Info
Forward / Assign
Follow-ups
Spreadsheet Tracking

After (ApexIQ automation)

Fast, automated, reliable

Intake
AI Classify & Extract
Validate Fields
Auto Route
Create Ticket
Auto Follow-up
SLA Dashboard

Deep dives (pilot-ready workflows)

PILOT WORKFLOW 1

Inbound Ops Email Triage & Routing

PROBLEM

Ops teams spend hours sorting emails and assigning ownership.

WORKFLOW

Email → classify intent/priority → extract shipment references → route to queue → owner/queue → create ticket → SLA tracking.

WHAT YOU GET

Routing rules, classification, tagging, templates, dashboards, exception lane.

PILOT WORKFLOW 2

Shipment Document Extraction + Validation

PROBLEM

Shipment docs vary in format, causing manual entry and errors.

WORKFLOW

Intake → OCR/parse → extract required fields → validate rules → escalate if incomplete → publish.

WHAT YOU GET

Field map, extraction pipeline, validation rules, exception queue, audit trail.

PILOT WORKFLOW 3

VoiceOps: Shipment Status + Pickup + Exception Intake

PROBLEM

Repetitive WISMO calls, pickup requests, and delivery issues overwhelm teams.

WORKFLOW

Call → identify caller → understand intent → retrieve facts → confirm → execute → log/route.

WHAT YOU GET

Intent map, conversation design, RAG knowledge layer, telephony integration, analytics.

Typical automated workflows

Automated email triage, classification, and routing with SLA tracking

Email + Attachment
AI Classify
Extract IDs
Route
Create Ticket
SLA Dashboard

Extract, validate, and publish shipment documents with exception handling

BOL/AWB/POD
Extract
Validate
Exception Queue
Publish Output

Detect, escalate, and track exceptions with real-time dashboard updates

Exception Signal
Escalate
Notify
Track Resolution
Dashboard Update

How we deliver outcomes

Our core capability blocks

AI Workflow Automation

Automate intake → classify → route → act → track SLAs

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ADP & Document Extraction

Extract fields from PDFs/scans/emails with validations and exception queues

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AI Agents & Copilots

Knowledge copilots and agents that retrieve answers and take controlled actions

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Custom Models & Fine-tuning

Higher accuracy and consistent outputs for domain-specific workflows

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Voice AI Systems

Speech analytics and voice workflows for call-heavy teams

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AI Integrations & Deployment

Production engineering: APIs, deployment, monitoring, security controls

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Systems we commonly integrate with

Internal APIs & databases

Email/Inbox: Outlook / Gmail (enterprise setups)

TMS & logistics platforms

ERP & finance ops

CRM / customer support

Ticketing/helpdesk: Jira, ServiceNow, Freshdesk

Document storage: SharePoint/ Drive/S3

How we keep automation reliable

Confidence scoring + human review loop
Validation rules to prevent bad data
Exception queue with reason codes
Audit trails for routing and actions
Monitoring for drift and failures
ISO-backed delivery practices
QUESTIONS

Frequently asked questions

Can we start with just one workflow?

Yes—start with one high-volume workflow (inbox triage or one doc type) and scale after validation.

What happens when the AI is not confident?

Low-confidence items route to an exception queue for human review, and those decisions improve the system over time.

Do you integrate with our TMS/ERP/helpdesk?

Yes—via APIs, webhooks, connectors, and secure access patterns depending on your environment.

How do you prevent wrong routing or wrong extracted data?

We combine confidence scoring, validation rules, and review workflows to prevent bad outputs from propagating.

Want to reduce logistics & freight operational workload?

Let's discuss your specific workflows and how we can help.