AI Training for Supply Chain Professionals

Every planning cycle produces a stack of scattered inputs and a deadline that doesn't move: sales numbers, order and POS extracts, supplier updates, and market notes, all in different formats from different systems. This program teaches demand, supply, and S&OP/IBP planners to build a decision-ready pack from it, run scenario stress tests, and write disruption briefs, while the forecast call and the plan stay with the planner.

modules
6
hours
12
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Why this training

Why AI for this team?

Monday morning starts with the exception list: three SKUs short, a supplier that missed a ship date, a demand spike nobody forecasted, and a pre-read due before the S&OP call at eleven. The planner assembling it pulls numbers from four systems that don't talk to each other, and by the time the numbers are clean there's no time left to think about what they mean. Get the pre-read wrong and the room defends a plan built on a bad number, then blames the planner two months later when the stockout shows up. AI can turn that scattered pile into a source-traceable draft fast, but only if the planner knows exactly what to check before a number enters the plan.

AI training for supply chain professionals is built around that same calendar. Planners bring scattered sales, order, supplier, and market signals into one traceable pre-read. They stress-test demand and inventory scenarios, draft the S&OP/IBP executive narrative, and write a disruption brief when a shortfall appears. The forecast call and trade-off stay with the planner. Your templates and planning cycle drive the syllabus. Procurement and logistics programs cover sourcing and freight execution separately, with the full set under AI training.

The exception list won't wait for the pre-read to be ready

Sales input, order and POS extracts, supplier updates, and market notes land in different formats from different systems, with no time to reconcile them before the deck is due. AI can fold that mess into one traceable signal pack, if the planner building it knows how.

A generated summary nobody has challenged is worse than none

Planners need AI to act like a sparring partner, surfacing outliers and contradictions before the number reaches the room.

Building the deck can eat more of the cycle than the planning does

The pre-read and cross-functional reconciliation can consume more hours than the demand-and-supply work behind them. The executive narrative adds another round. AI can draft faster. The planner keeps ownership of what the numbers mean.

A supplier miss needs a brief in minutes

A supplier miss, a capacity shortfall, or a demand spike needs a clear escalation note fast, before the story changes twice on its way to the plant. Teams that draft these consistently recover faster, and the functions downstream notice the difference in trust.

The planner's tools already include an AI copilot

Copilots are already inside the ERP and the APS. The missing piece is knowing what to hand a language model and how to verify what it hands back before a number enters the plan.

Syllabus

Training syllabus

  1. Where generative AI helps a planning cycle, and where it doesn't

    90 minBeginner

    What large language models do well inside a planning cycle, and where they distort a forecast or a supplier update. The module is also explicit about what this training deliberately skips.

    • What large language models can and cannot do inside a planning cycle
    • Planning versus prediction: what this course does not touch
    • Recognizing hallucinated numbers and false confidence in a generated narrative
    • What your ERP or APS exports need before AI can use them
    • Choosing safe first pilots

  2. Demand and supply signal synthesis

    120 minIntermediate

    Turn scattered sales, order, supplier, and market inputs into one structured, source-traceable pre-read. Practiced so every generated line stays linked back to where the number came from.

    • Sales, order, and POS extracts, pulled into one structured signal pack
    • Summarizing supplier and capacity updates without losing the source
    • Flagging outliers and inconsistent inputs before they reach the forecast review
    • Market and customer-intelligence notes drafted with clear provenance
    • A repeatable signal-pack template built for every planning cycle
    • Keeping planner judgment ahead of any generated summary

  3. Planning and scenario narratives

    150 minIntermediate

    AI drafts and stress-tests demand, supply, capacity, and inventory scenarios, and writes the sensitivity narrative that goes with them. The model challenges assumptions. It does not choose the plan.

    • Demand, supply, and capacity scenarios, structured for a planning review
    • Inventory trade-off narratives, service level versus working capital
    • Writing the base case, then its upside and downside
    • Using AI as a challenge partner to pressure-test planner assumptions
    • Comparing scenario outputs without letting AI select the plan
    • What this is not: an optimization engine for inventory or for network and routing

  4. S&OP/IBP decision packs

    150 minIntermediate

    From agenda to executive narrative to a tracked action list, the full arc of a monthly demand, supply, and reconciliation review, rebuilt with a human sign-off at every step.

    • The pre-read and agenda, prepared for demand, supply, and reconciliation reviews
    • Consensus gaps between sales, planning, and finance numbers, caught early
    • The executive S&OP/IBP narrative, drafted from agreed inputs
    • Turning decisions into tracked actions with named owners
    • Plan changes, version-controlled monthly
    • Same numbers, different audiences

  5. Exceptions and resilience playbooks

    120 minAdvanced

    Disruption briefs, handoffs, and escalation notes, rebuilt as AI-assisted drafting flows, so a supplier miss or capacity shortfall gets a fast, consistent response instead of an improvised one.

    • A disruption brief drafted the moment a shortfall or delay is flagged
    • Handoff notes for suppliers and plants, with a clear ask for logistics
    • Escalation templates that match severity to the right decision-maker
    • Building a reusable playbook library for recurring disruption types
    • Capturing after-action learning so playbooks improve each cycle

  6. Governance and rollout within clear data boundaries

    90 minIntermediate

    What counts as sensitive commercial data in a planning context, a verify-before-you-decide discipline for every AI-assisted number, and a 90-day rollout plan built around your actual planning calendar.

    • Supplier prices and costs, including the demand data behind them
    • The difference between a consumer AI login and an enterprise one, for planning data
    • A verify-before-you-decide discipline
    • A pilot chosen for a measurable planning-cycle time saving
    • Metrics that track whether planners actually changed their week
    • A 90-day plan for turning the pilot into standard practice

Outcomes

Outcomes & audience

What you will learn

  • Build a source-traceable signal pack
  • Draft and stress-test planning scenarios, with the reasoning made explicit
  • Prepare the S&OP/IBP pre-read and executive narrative, then track decisions with named owners
  • A fast, consistent brief the moment a supplier misses
  • Verify before every decision
  • Handle supplier prices, costs, demand data, kept confidential under KVKK/GDPR rules
  • Choose safe first use cases, forecasting and optimization claims left to specialists
  • Leave with a 90-day rollout plan, backed by pilot metrics

Who should attend

  • Demand planners and supply planners
  • S&OP/IBP leads and planning managers
  • Supply chain directors and heads of planning
  • Inventory and capacity planning teams
  • Operations excellence and continuous-improvement teams

Format

Training format

Most planning teams time the two days to their own S&OP or demand-review calendar, so the exercises run on a live cycle instead of a made-up case. The syllabus is identical whether you run it onsite or live online.

Format
Onsite or live online
Duration
2 days (about 13 hours, can be split into half-day sessions around your planning calendar)
Group size
Up to 20 participants per group
Language
English or Turkish
Materials
Signal-pack, scenario, S&OP pre-read, and disruption-brief templates
Certificate
Certificate of completion

About Zeo

Why Zeo

Zeo started in 2011 and now works out of San Francisco, Istanbul, Ankara, and Lisbon. We run Copilot Academy and organize Digitalzone, an international digital marketing conference. This program draws on the 10+ years of consulting and training work behind that, applied to corporate AI adoption.

  • 2011founded in Istanbul
  • 10+years of consulting and training experience
  • 3offices: San Francisco, Istanbul, Ankara, Lisbon

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Next step

Let's build this around your planning calendar

Whether it's a monthly S&OP cycle, a weekly demand review, or a resilience playbook you don't have yet, describe your planning cadence and we'll fit the modules, the templates, and the pilot to it.
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Two illustrated figures planning together around a shared screen

Questions

Frequently asked questions