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AI for Supply Chain Operations—better visibility, faster coordination,fewer manual handoffs

We automate the work supply chain operations 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 supply chain operations teams target with ApexIQ

Faster turnaround on partner requests and updates

Reduced manual reconciliation and follow-ups

Earlier detection of mismatches and missing documents

Consistent exception handling with clear ownership

SLA visibility: backlog aging, bottlenecks, escalations

Cleaner, structured updates into systems of record

Common pain points we solve

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Late discovery of mismatches (quantities, dates, references)

Partner updates scattered across emails and portals

Limited visibility into where time is being lost

Missing documents stall downstream processes

No consistent escalation policies for exceptions

Manual reconciliation between documents and system records

Too many handoffs across teams with unclear ownership

Background Effect

Use cases we automate

Partner Email Triage & Routing

Classify inbound partner requests and route to correct owners.

Mismatch Detection + Exception Flagging

Compare documents/updates against expected rules and flag issues.

Status Updates → Structured Logging

Extract key details from updates and write to a structured log.

Ops Copilot for SOPs

Quick "how to do next" guidance using your internal SOPs.

Document Completeness Checks

Validate missing critical docs/fields and trigger follow-ups.

Follow-up Automation

Auto-draft/send follow-ups using templates and required-field checks.

Ticket Creation + Assignment

Create tickets with context (ref#, partner, due date) and assign.

Shortage / Delay Escalation

Detect severity, escalate to the right stakeholders, track closure.

Ops Dashboards

Track throughput and reasons for exceptions.

Exception Queue + Ownership Tracking

Central queue with reason tags, severity, and SLA tracking.

Before vs After

Compare the traditional manual workflow with AI-powered automation

Before (manual ops)

Slow, manual, error-prone

Partner update arrives
Someone reads documents
Checks docs & systems
Follow-ups for missing fields
Exception escalates late
Tracking in spreadsheets
No consistent SLA

After (ApexIQ automation)

Fast, automated, reliable

Update / document intake
AI extracts key references & status
Rules validate completeness
Mismatches routed to exception queue
Escalation policy triggers alerts
Structured logs & dashboards
Show aging, owners & bottlenecks

Deep dives (pilot-ready workflows)

PILOT WORKFLOW 1

Status Updates → Structured Reconciliation

PROBLEM

Updates arrive in different formats and aren't captured consistently.

WORKFLOW

Update (email) → extract refs (PO, Shipment, Vendor), dates, status → normalize → write to structured log + notify owner if changes are critical.

WHAT YOU GET

Extraction + normalization rules, change alerts, structured logs, dashboards.

PILOT WORKFLOW 2

Document Checks + Mismatch Detection

PROBLEM

Missing or mismatched documents stall downstream work.

WORKFLOW

Document intake → extract key fields → validate required fields + basic rules → flag mismatches → route to exception queue → trigger follow-up.

WHAT YOU GET

Validation rules, exception queue, reason tagging, automated follow-up.

PILOT WORKFLOW 3

Exception Management + SLA Escalations

PROBLEM

Exceptions are handled inconsistently and escalations happen too late.

WORKFLOW

Exception detected → classify severity → assign owner → notify stakeholders → SLA alerting → closure tracking with reasons.

WHAT YOU GET

Escalation rules, SLA dashboards, audit logs, consistent playbooks.

Typical automated workflows

Partner Update
Extract refs/status
Normalize
Structured Log
Alerts
Document Intake
Extract
Validate
Exception Queue
Follow-up
Mismatch/Delay
Severity
Route
Escalate
SLA Tracking

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 integrate with

Supply chain/ERP systems

Partner updates (email/portals/export files)

Ticketing/helpdesk for operations queues

Document storage and shared repositories

BI tools for dashboards and reporting

Internal APIs/databases for reference checks

Reliable automation

Confidence scoring + human review lane
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 small without changing our systems?

Yes. Start with a pilot workflow that reads from existing channels and produces structured outputs, then integrate deeper once validated.

Can you handle multiple partners and formats?

Yes—by normalizing and validating structured fields, not relying on one fixed template.

What happens when documents don't match or fields are missing?

They route into an exception queue with reason codes and follow-up workflows.

How do you prevent wrong updates from being applied?

Confidence scoring, validation rules, and human review for low-confidence or high-risk cases.

Do you support dashboards and SLA visibility?

Yes—through queue ownership views, aging, bottleneck tracking, and escalation alerts.

Want to reduce supply chain operations operational workload?

Book a consultation or request an assessment—we'll recommend the best first workflow to pilot.