AI Training · Supply Chain & Planning

AI Training for Supply Chain and Planning Teams

Your planners do not have a forecasting problem so much as a preparation problem. Most of the cycle goes on assembling the inputs, and almost none of it on the decision. This training targets the preparation.

  • Planning, inventory and procurement teams
  • Run on your own demand history and PO pipeline
  • On site Sydney and NSW, remote Australia wide
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The honest version of AI in supply chain

There is a figure that appears in nearly every article on this subject, usually a claim that AI cuts forecast error by half. It is quoted without the preconditions, and the preconditions are the whole story: years of clean, consistent history, stable seasonality, enough volume per line, and a business that has not changed its range or its channels in the meantime.

Most mid-size Australian businesses fail at least one of those. Two seasons a year, a range that turns over, a couple of accounts that distort the numbers on their own. Sold a forecasting engine on those foundations, you get a confident number that is wrong.

So we start somewhere less exciting and far more reliable. A planner’s month is mostly assembly: pulling the demand history, chasing suppliers for ETAs, reconciling what was ordered against what landed, rebuilding the cover report, and writing up the plan for people who will not read all of it. That work is repetitive, document-heavy and does not need clean history to improve.

Who we train

  • Demand and supply planners. Building the plan, explaining the movements, and preparing for the review meeting.
  • Inventory and replenishment analysts. Cover reporting, ageing and obsolescence, allocation across sites.
  • Procurement and purchasing. Supplier chasing, ETA confirmation, order reconciliation, and supplier performance reporting.
  • The supply chain manager who signs it off. Because if the decision maker is not in the room, the preparation gets faster and the decision does not.

What a session covers

  • Supplier chasing and ETA management. The follow-ups, the confirmations, and keeping the plan current when a date moves.
  • Purchase order reconciliation. Ordered against confirmed against received, with the gaps and the likely reason for each.
  • Stock cover and exception reporting. What is short, what is long, what is ageing, and which of those is worth acting on this week.
  • Demand history preparation. Cleaning and shaping the history so that whatever you forecast with, statistical or judgement based, is working from something sound.
  • The plan write-up. The narrative that goes to leadership, drafted from the numbers instead of typed from scratch.
  • Supplier performance packs. On-time and in-full, lead time drift, and the conversations they should trigger.

Where judgement has to stay human

AI should not decide who gets stock when you are short. It should not negotiate with a supplier. It should not override the planner who knows a particular account always over-orders in March and always cancels half of it. Those decisions run on context, relationships and accountability, and none of the three are in your data.

The split that works: AI does the assembly, your planners make the calls.

A note on courses and certificates

There are good formal courses in this space, including university microcredentials in AI for supply chain management. If you want a credential, a structured curriculum and an assessment, take one of those and we will say so plainly.

This is a different thing. No certificate, no framework to memorise. Your team spends the day on your own files and leaves having done next month’s preparation in an afternoon. The two are complementary rather than competing.

Further reading

Common questions about AI training for supply chain teams

How is this different from a university supply chain AI course?

A university microcredential gives you a framework, an assessment and a certificate, and it is genuinely good at that. This is not that. There is no certificate. Your planners spend the day working on your own demand history, your own PO pipeline and your own stock cover, and they leave having done next week’s work rather than a case study. If you want a credential, take the course. If you want the planning cycle to get shorter, take this.

Our data is messy and split across systems. Is it too early?

Usually not, though it changes what we start with. Perfect data is not a prerequisite for the document-heavy work: supplier chasing, PO reconciliation, writing up the plan, exception summaries. It is a prerequisite for forecasting. If your history is inconsistent, we will point at the first group of tasks and be honest that the forecasting conversation comes later.

Will AI forecast demand better than our planner?

Not on its own, and be sceptical of anyone who says otherwise. Statistical forecasting needs clean history, stable seasonality and enough volume, and most mid-size Australian businesses have at least one of those working against them. What consistently helps is removing the twelve hours a week your planner spends assembling the inputs, so their judgement gets applied to the decision rather than the preparation.

Who should attend?

Demand and supply planners, inventory and replenishment analysts, procurement and purchasing officers, and the supply chain manager who signs off the plan. Eight to twelve people works well. Including the person who owns the final call matters, because otherwise the team improves the preparation and the decision stays exactly as slow as it was.

Do you work with our ERP or planning system?

We work alongside what you have rather than replacing it. Most of what we cover runs on the exports and reports your systems already produce, which means the team gets value without an integration project first.

What does it cost?

It depends on how many functions are involved and whether implementation follows, so we quote per engagement rather than publish a rate card. Engagements are fixed price, agreed before we start, with no hourly billing and no lock-in. A discovery call is enough for us to give you a number.

What happens after the session?

A follow-up period is included. Planning runs on a monthly rhythm, so the real questions surface at the next cycle rather than in the room. We check back in when that cycle lands.

Start with the preparation, not the forecast

Tell us what your planning cycle actually looks like. We will tell you honestly which parts AI can take and which it cannot.

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15 minutes. No sales pressure.