Supply chain AI and analytics professional training workshop
 For Professionals & Domain Experts

AI Won't Replace You.
A Professional Who Uses AI Will.

Whether you're a supply chain, sales, or marketing professional who wants AI skills — or a data scientist who needs domain depth — the Forward Deployed Engineer is your destination.

Supply Chain · Sales · Marketing professionals
Data Scientists · ML Engineers · Analytics professionals
The Urgency

The Cost of Standing Still

AI is reshaping every industry. Professionals who don't adapt will be left behind.

92M Jobs will be displaced by AI and automation by 2030 World Economic Forum, Future of Jobs Report 2025
39% Of workforce skills will be disrupted or outdated by 2030 World Economic Forum, Future of Jobs Report 2025
77% Of companies plan to reskill or upskill their workforce in AI World Economic Forum, Future of Jobs Report 2025
40% Productivity increase for workers using AI in knowledge-work tasks Harvard Business School / BCG, 2023

"AI can generate code, analyze data, and draft reports. The scarce resource is the professional who knows which question to ask, which model fits, and how to drive adoption. That's something new."

— Inspired by the Forward Deployed Engineer model, Palantir Technologies

The Cost of Inaction

  • Salary stagnation: AI-skilled professionals command 25-50% salary premiums over non-AI peers (Burning Glass / EMSI, 2024)
  • Role obsolescence: 44% of core skills will change in 5 years — the fastest rate ever (WEF, 2025)
  • Hiring bypass: 71% of employers prefer candidates with AI skills — even for non-technical roles (LinkedIn, 2024)
  • Competitive disadvantage: Peers using AI deliver 20-80% more output — your relative value drops even if absolute performance holds

The Return on Upskilling

  • Career acceleration: AI + domain professionals are promoted 1.5x faster than domain-only peers (McKinsey, 2024)
  • Income premium: AI-proficient SC professionals earn 25-40% more than traditional SC managers (Gartner, 2024)
  • Future-proofing: 97 million new roles blending human and machine capabilities will emerge (WEF, 2025)
  • Decision quality: AI-augmented analysts make 30% fewer errors and deliver insights 3x faster (Accenture, 2024)
The FDE Advantage

Why the Forward Deployed Engineer Is the Future

McKinsey calls them translators; BCG calls them T-shaped; Palantir calls them FDEs. The highest-leverage professional sits at the intersection of domain, analytics, and AI.

Domain Expertise

Deep understanding of what decisions matter and what the business needs.

Supply ChainS&OPProcurementManufacturing

Analytical Depth

Model problems mathematically and translate data into business decisions.

OptimizationForecastingStatisticsPython

AI Fluency

Deploys AI tools — LLMs to ML models — knowing when AI adds value and when simpler methods win.

LLMsML ModelsAutomationAI Tools

"The most important AI skill isn't prompt engineering — it's knowing what to build. That requires domain expertise most AI courses skip."

— Ethan Mollick, Wharton School of Business

Co-Intelligence: Living and Working with AI, 2024

"The demand for AI and big data skills is projected to grow by 65% between 2023 and 2030, making it the fastest-growing skill category globally."

— World Economic Forum

Future of Jobs Report, 2025

"We need professionals who speak business, data, and technology. Companies that build this capability internally will outperform."

— McKinsey & Company

The Age of AI: Realizing the Potential, 2024

Three Tracks, One Mission

Your Path to Becoming an FDE

Each track builds a different FDE pillar. Take one, or stack them for the full transformation.

 Flagship Course

SCAI — Supply Chain AI Program

14 modules across 6 phases — from supply chain fundamentals to applied AI. Case studies modelled on CPG, Life Sciences, and Pharma scenarios.

If you're in Supply Chain, Sales, or Operations…

This program deepens your domain knowledge while teaching you the analytics and AI skills to build forecasts, run optimizations, and direct AI tools — so you stop waiting for the data team and start driving insights yourself.

If you're in Data Science, Analytics, or IT…

This program gives you the supply chain domain context your models are missing — demand patterns, inventory logic, S&OP cycles, network constraints — so your work solves problems stakeholders recognize and actually deploy.

14
Modules
3+
Industry Case Firms
50+
Excel Exercises
3
Python Optimization Models
1
Certificate of Completion

Phase 1 — Foundations  |  Modules 1–3

All Complete
ModuleTitleKey TopicsStatus
M01Foundations & Strategic ContextRisk frameworks, OTIF metrics, Cash-to-Cash (C2C) cycle, supply chain performance measurement Complete
M02Demand Intelligence & ForecastingSES, Holt-Winters, ARIMA, MAPE / RMSE, demand std deviation (σ_d), forecast bias analysis Complete
M03Strategic ProcurementTotal Cost of Ownership (TCO), Kraljic Matrix, supplier evaluation, weighted scoring models Complete

Phase 2 — Inventory Science  |  Modules 4–5

All Complete
ModuleTitleKey TopicsStatus
M04Inventory Management — CoreEOQ (Q*=√2DS/H), Reorder Point, Safety Stock (z·σ_dL), newsvendor critical ratio, service-level mathematics Complete
M05Inventory Optimization — AdvancedRisk pooling (σ_pooled=σ/√n), centralization effects, ABC-XYZ segmentation, VMI, multi-echelon inventory Complete

Phase 3 — Planning & Operations  |  Modules 6–8

In Progress
ModuleTitleKey TopicsStatus
M06Integrated Business Planning & S&OP5-step S&OP cycle, consensus demand planning, bullwhip effect, IBP platforms (SAP IBP, o9, Anaplan) Complete
M07Manufacturing & Production PlanningOEE (Availability × Performance × Quality), MRP, Cpk, production scheduling, capacity utilization🔄 In Development
M08Distribution, Logistics & Network DesignCenter of gravity (x*=Σd·w/Σw), facility location, route optimization, cost-per-delivery modeling🔄 In Development

Phase 4 — Advanced Analytics & Optimization  |  Modules 9–10

M09 Complete
ModuleTitleKey TopicsStatus
M09Advanced Optimization & Linear ProgrammingLP, MILP, transportation problem, shadow prices / dual values — Python / PuLP / Gurobi / OR-Tools Complete
M10SC Optimization & AnalyticsScenario analysis, prescriptive analytics, multi-objective optimization, decision modeling🔄 In Development

Phase 5 — AI & Financial Intelligence  |  Modules 11–12

Coming Soon
ModuleTitleKey TopicsStatus
M11AI & Intelligent AutomationML forecasting (DeepAR, LightGBM, Prophet), AI-driven optimization, agentic AI workflows, Blue Yonder, Kinaxis, RelexComing Soon
M12Cost-to-Serve & Financial ModelingCustomer profitability, cost attribution, DIO / DSO / DPO, full C2C financial modelingComing Soon

Phase 6 — Consulting & Capstone  |  Modules 13–14

Coming Soon
ModuleTitleKey TopicsStatus
M13SC Productization & ConsultingBusiness case development, MBB consulting methodology, NPV analysis (Σ(B-C)/(1+r)^t), implementation planningComing Soon
M14Capstone — NovaPharma ConsumerExpert-designed end-to-end case: pharma OTC product launch combining Life Sciences supply chain + CPG demand + FMCG distribution. Integrates all 13 prior modules.Coming Soon
Learning Paths

Built for Different Starting Points

Whether you come from operations, IT, or academia — SCAI meets you where you are.

Business & Operations

SC managers, planners, S&OP leads, procurement professionals. Add analytical fluency to your decision-making.

Recommended path
  • 1 Phase 1–3: Foundations → Planning & S&OP
  • 2 M12: Cost-to-Serve & Financial Modeling
  • 3 Consulting Foundations (complementary)
  • 4 Phase 4: Optimization (Excel-first, Python optional)
S&OP Inventory Demand Planning Cost-to-Serve

IT & Data Professionals

Data analysts, ML engineers, BI developers, data engineers. Add domain depth to your technical skills.

Recommended path
  • 1 Phase 1–2: SC Foundations & Inventory Science
  • 2 Phase 4: Optimization (Python / PuLP / OR-Tools)
  • 3 Phase 5: AI & ML Forecasting (DeepAR, LightGBM)
  • 4 AI-Powered Productivity course (complementary)
Python ML/AI Optimization Domain Context

Students & Graduates

MBA and engineering graduates targeting consulting, analytics, or SC roles. Build skills that take others years.

Recommended path
  • 1 Full SCAI Program: All 14 modules in sequence
  • 2 Consulting Foundations (parallel track)
  • 3 Project Lab via Community (live projects)
  • 4 CV Reviewer + Expert Consultation
Full Program Consulting Projects CV Building
Learning Outcomes

Skills That Drive Real Decisions

Each module connects to a business decision, not a textbook concept.

Inventory Science

Calculate safety stock, EOQ, and reorder points for multi-SKU scenarios.

Demand Forecasting

Build forecasting models — Holt-Winters to LightGBM — and interpret accuracy metrics.

Optimization

Formulate and solve LP / MILP problems using Python, PuLP, and OR-Tools.

S&OP Design

Design S&OP processes and manage consensus planning across functions.

AI Deployment

Deploy AI tools (Amazon Forecast, Claude API, Blue Yonder patterns) in supply chain workflows.

Consulting Communication

Structure and present supply chain recommendations using MBB frameworks.

Supply chain analytics and manufacturing operations training
Built Different

Not Theory. Applied Practice.

Every module uses industry-realistic datasets and professional tools — not sanitized textbook problems.

Start Learning
Complementary Tracks

Go Deeper in AI or Consulting

Complement SCAI or take as a standalone track.

AI-Powered Productivity: From Excel to Web Apps

1 Week Intensive

Use Claude Code, Copilot, Codex, Gemini, and Cursor to automate Excel, build dashboards, and ship web apps — no coding required.

  • AI coding landscape — 5 tools compared, when to use which
  • Excel & PowerPoint automation via AI-generated VBA and formulas
  • Data analysis & dashboards — Python/SQL via AI, Streamlit, Gradio
  • Idea to deployed web app using only AI prompts
  • Team & enterprise use — governance, security, IP
  • ROI & cost analysis — build-vs-buy, time-to-market
  • Capstone: Pain point → AI-built solution → deployment
View Full Curriculum

Consulting Foundations for Professionals

6 Weeks

Structure problems and present recommendations the MBB way — from MECE issue trees to boardroom presentations.

  • MBB problem structure — MECE, issue trees, hypothesis-driven thinking
  • Root cause analysis — Fishbone (Ishikawa), 5-Whys, Pareto (80/20)
  • Data → insight → recommendation narrative (Pyramid Principle, SCQ)
  • Executive storytelling — ghost decks, action titles, C-suite communication
  • Forward-deployed mindset (Palantir FDE model) & change management
  • Consulting toolkit — workplans, RACI, stakeholder maps, templates
  • Capstone: Full case simulation with board presentation
View Full Curriculum
 Full Curriculum

AI-Powered Productivity: From Excel to Web Apps

1 week. 8 modules. 5 days. Use 5 leading AI coding tools to automate spreadsheets, build dashboards, ship web apps, and measure ROI — no programming required.

8
Modules
5
Days Intensive
5
AI Tools Covered
1
Capstone Project
Tools Covered Claude Code & Cowork | GitHub Copilot | OpenAI Codex | Gemini Code Assist | Cursor

Day 1 — Foundations & Setup

ModuleTitleKey Topics
M01 The AI Coding Landscape What AI coding assistants are, how LLMs generate code, 5-tool comparison (Claude Code, Copilot, Codex, Gemini, Cursor), capability matrix, use-case matching, pricing overview
M02 Getting Started — Setup & First Prompts Installing each tool, API keys vs subscriptions, prompt anatomy, iteration techniques, understanding token costs, first working outputs

Day 2 — Excel, PowerPoint & Office Automation

ModuleTitleKey Topics
M03 Excel, PowerPoint & Spreadsheet Automation VBA macros via AI, complex formula generation, data cleaning/transformation, pivot automation, Excel-to-API connections, PowerPoint deck generation, slide formatting

Day 3 — Data Analysis & Dashboards

ModuleTitleKey Topics
M04 Data Analysis & Dashboards Python/SQL via AI prompts, chart generation, Streamlit/Gradio dashboards, database connections, CSV-to-insight pipelines, automated reporting

Day 4 — Web Apps & Enterprise Use

ModuleTitleKey Topics
M05 From Idea to Web App Full web app via AI prompts (frontend + backend), deployment (Vercel/Replit), iterating with screenshots, examples: inventory tracker, approval workflow
M06 Team & Enterprise Use Shared workspaces, code review with AI, knowledge bases, governance & security, IP considerations, role-based access, scaling AI tools across your organisation

Day 5 — ROI & Capstone

ModuleTitleKey Topics
M07 ROI, Cost & Time-to-Market Pricing deep-dive across all 5 tools, time-saved measurement, build-vs-buy framework, break-even analysis, building the business case for AI adoption
M08 Capstone Project End-to-end project: identify a business pain point → select AI tools → build a working solution → deploy → measure ROI. Certificate of completion

Who This Course Is For

  • Business analysts & operations managers
  • Finance professionals & marketing leads
  • Excel-proficient professionals who want to 10× productivity
  • No prior coding experience required
  • Each module produces a tangible deliverable you keep
  • Certificate of completion on capstone
 Full Curriculum

Consulting Foundations for Professionals

6 weeks. 6 modules. Structure problems, build analytical narratives, and present recommendations the MBB way — then go beyond the deck with a forward-deployed mindset.

6
Modules
15+
Frameworks & Tools
4
Industry Contexts
10+
Consulting Templates
1
Full Case Capstone

Week 1 — Problem Structuring & Hypothesis-Driven Thinking

ModuleTitleKey Topics
M01 The Consulting Mindset: Structure Before Solutions MECE principle, issue trees (profitability, market entry, M&A), hypothesis-driven approach, framework fluency: Profitability Tree, 3C's, Porter's Five Forces, Value Chain, BCG Growth-Share Matrix, McKinsey 7S, Ansoff Matrix

Week 2 — Root Cause Analysis & Quantitative Reasoning

ModuleTitleKey Topics
M02 Finding the Real Problem: RCA & Analytical Depth Fishbone / Ishikawa diagram (6M categories), 5-Whys technique (Toyota Production System), Pareto Analysis (80/20), market sizing (top-down, bottom-up, triangulation), unit economics, break-even analysis, sensitivity analysis

Week 3 — Data → Insight → Recommendation

ModuleTitleKey Topics
M03 The Analytical Narrative: From Numbers to "So What" Pyramid Principle (Barbara Minto), SCQ framework (Situation-Complication-Question), the "So What" test, governing thought structure, chart selection & data storytelling, synthesis across workstreams

Week 4 — Executive Communication & Slide Writing

ModuleTitleKey Topics
M04 Commanding the Room: C-Suite Communication Consulting slide anatomy (action titles, ghost decks, storyboarding), slide archetypes (waterfall, bridge, Harvey balls, quadrant), the 30-second rule, executive summary design, board-level communication, managing Q&A & pushback, McKinsey's "obligation to dissent"

Week 5 — Forward-Deployed Mindset & Consulting Toolkit

ModuleTitleKey Topics
M05 Beyond the Deck: Operating as a Forward-Deployed Problem Solver Palantir FDE model, implementation orientation, consulting templates (workplan, RACI, stakeholder map, hypothesis tracker, interview guide), stakeholder management, change management (ADKAR, Kotter's 8-step), the "last mile" problem, first 90 days playbook

Week 6 — Capstone: End-to-End Consulting Case Simulation

ModuleTitleKey Topics
M06 The Full Case, Start to Finish End-to-end case simulation: problem scoping → issue tree → data analysis → root cause identification → Pyramid-structured synthesis → 15-slide board presentation with Q&A. Deliverables: hypothesis tracker, analytical workbook, recommendation deck, executive memo, implementation roadmap

What Sets This Course Apart

MBB-Grade Structure

Build 10+ MECE issue trees across industries using the same methodology as McKinsey, Bain, and BCG.

Deep RCA, Not Surface Fixes

Apply Fishbone, 5-Whys, and Pareto analysis on industry datasets. Every root cause must be evidence-backed.

Boardroom-Ready Communication

Master the Pyramid Principle, ghost decks, and action titles. Practice executive presentations with live Q&A.

Delivery Formats

How We Deliver Training

Cohort Bootcamp

Live virtual sessions with peer groups and applied projects.

8–12 Weeks

Corporate Workshop

Customised 2–5 day intensive sessions for mid-to-senior teams. On-site or virtual.

2–5 Days

Self-Paced Digital

Platform-hosted modules with exercises, assessments, and certification.

On-Demand

Start Your Learning Journey

Equip yourself or your team with analytical and AI skills that solve business problems.