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AI-Driven Supply Chain Transformation for Operational Leaders

$199.00
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A tailored course, built for your situation

AI-Driven Supply Chain Transformation for Operational Leaders

Turn daily operations into intelligent, adaptive systems with applied AI frameworks

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Your supply chain expertise is at risk of obsolescence if AI adoption outpaces your ability to lead it.

The situation this course is for

You're seeing AI pilots fail despite technical promise, because they ignore operational reality. You know throughput matters more than algorithms, yet most training skips how to embed AI into live workflows. Without a framework that bridges change management and technical deployment, your team defaults to old habits, eroding trust and ROI.

Who this is for

Consultants and operational leaders with systems thinking backgrounds who are leading AI adoption in supply chain environments but lack structured, field-tested implementation playbooks.

Who this is not for

Pure data scientists, executives seeking high-level overviews, or teams not yet running live AI pilots.

What you walk away with

  • Diagnose where AI creates maximum throughput leverage in any supply chain model
  • Apply change-resistant frameworks to sustain AI-driven process shifts
  • Build feedback loops that improve AI accuracy through operational input
  • Integrate AI decisions with Throughput Accounting KPIs
  • Deploy a hand-built playbook tailored to your current operational context

The 12 modules (with all 144 chapters)

Module 1. Mapping AI Leverage Points in Supply Chains
Identify where AI creates the highest return by analyzing flow constraints, decision latency, and human override patterns. This module teaches how to audit existing operations for AI readiness using throughput as the primary metric.
12 chapters in this module
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Module 2. From Throughput Accounting to AI Signals
Bridge financial performance with machine learning inputs by aligning AI outputs to throughput, inventory, and operating expense metrics. Learn how to translate accounting signals into training data requirements.
12 chapters in this module
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Module 3. Operationalizing Predictive Replenishment
Replace static safety stock models with adaptive AI-driven replenishment. Covers data conditioning, exception handling, and integration with DDMRP-style workflows.
12 chapters in this module
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Module 4. Change Resistance in AI Adoption
Analyze why operators reject AI recommendations even when accurate. Introduces behavioral feedback loops, trust calibration, and co-piloting techniques to reduce resistance.
12 chapters in this module
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Module 5. Designing Human-AI Handoffs
Map decision ownership between systems and people. Covers escalation protocols, override logging, and AI confidence scoring to maintain throughput stability.
12 chapters in this module
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Module 6. Data Quality for Real-World AI
Focus on operational data hygiene, missing timestamps, stale classifications, and sensor drift. Learn how to build self-correcting data pipelines that sustain AI accuracy.
12 chapters in this module
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Module 7. AI Feedback Loop Engineering
Design closed-loop systems where AI learns from operator corrections. Covers labeling workflows, feedback latency reduction, and model retraining cadence.
12 chapters in this module
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Module 8. Performance Monitoring with AI
Track AI impact using throughput accounting KPIs. Learn how to detect model decay, operator drift, and throughput leakage in real time.
12 chapters in this module
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Module 9. Scaling AI Across Multiple Sites
Adapt AI models for regional variations in labor, logistics, and demand. Covers template standardization, local override rules, and central governance.
12 chapters in this module
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Module 10. AI for Risk-Adjusted Planning
Integrate AI forecasts with buffer management and constraint analysis. Teaches how to balance responsiveness with stability in volatile environments.
12 chapters in this module
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Module 11. Ethical Guardrails for Operational AI
Establish boundaries for AI decision-making in labor-sensitive environments. Covers transparency, auditability, and fallback procedures when AI fails.
12 chapters in this module
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Module 12. Sustaining AI-Driven Transformation
Create self-reinforcing cycles where AI success funds further adoption. Covers capability building, incentive alignment, and leadership storytelling that sticks.
12 chapters in this module
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How this maps to your situation

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Before vs. after

Before
Overwhelmed by fragmented AI pilots that don't scale or sustain.
After
Leading confident, throughput-optimized AI integration with a field-tested playbook.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3 hours per module, designed for implementation alongside live operations.

If nothing changes
Without a structured approach, AI initiatives remain isolated, fail to deliver ROI, and erode trust in transformation, putting your operational leadership at risk.

How this compares to the alternatives

Unlike generic AI courses, this program is built specifically for supply chain consultants applying AI in real-time environments with throughput accountability.

Frequently asked

How does this course differ from general AI training?
It focuses exclusively on operational supply chain roles, integrating AI with Throughput Accounting and change management frameworks.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course technical or conceptual?
It's applied, focused on implementation patterns, not theory or coding.
$199 one-time. Approximately 3 hours per module, designed for implementation alongside live operations..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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