Resources · Academy

Anamind Academy

Hands-on planning training for teams, delivered on-site or virtually by Anamind's planning specialists.

Corporate workshops

Applying AI in planning — a one-day workshop.

For planning teams who want AI to become a working part of the cycle, not a slide in a strategy deck.

Classroom or virtual · One day

Applying AI in Planning

A one-day corporate workshop that turns AI from a buzzword into a working part of your demand, supply and financial planning cycle. It is vendor-neutral and hands-on: every module runs concept, live demo, lab, then debrief, using a live planning platform (Planamind) as the demonstration environment.

Participants follow one realistic dataset all day — generating and critiquing a forecast, applying an override and planning a promotion, running a multi-tier supply plan, evaluating a system recommendation and diagnosing an exception with the AI assistant — before a capstone in which they build and defend a complete plan on a fresh scenario. The point is not “the tool did it”, but “I know why this is the right plan”.

Prerequisites: comfort with spreadsheets and planning basics. No coding or statistics background required.

Agenda at a glance
  • 09:00Welcome & why AI in planning now
  • 09:45Module 1 — From rules to learning
  • 10:30Module 2 — AI forecasting fundamentals + lab
  • 11:45Module 3 — Human-in-the-loop + lab
  • 12:45Lunch
  • 13:30Module 4 — AI in supply planning + lab
  • 14:45Module 5 — AI recommendations
  • 15:30Module 6 — Conversational & agentic AI + lab
  • 16:15Module 7 — Trust, limits & governance
  • 16:45Capstone & wrap-up, close at 17:15
What you get
  • Full-day instructor-led training, on-site or fully virtual
  • Individual access to a live training environment with seeded data
  • Take-home lab workbook, concept glossary and resource list
  • Certificate of completion
  • Optional follow-up session run on your organisation's own data

The seven modules

01

From rules to learning

What actually makes something “AI”. Where machine learning wins, and where a simple model still beats a complex one.

02

AI forecasting fundamentals

How a library of models competes per series and how the winner is scored and selected. Lab: forecast across a product hierarchy and inspect which model won.

03

Human-in-the-loop

Governed overrides, provenance and precedence, events and promotions, and collaboration on the SKU and month itself. Lab included.

04

AI in supply planning

Multi-tier replenishment, AI-assisted safety stock, and the constraints that matter — lead times, MOQs, shelf life, allocation. Lab included.

05

AI recommendations

Prioritised actions, guardrails such as backtests and one-click revert, and why honest AI under-promises then measures what it delivered.

06

Conversational & agentic AI

Chatbot versus agent, why grounding beats guessing, and keeping the human in control. Lab included.

07

Trust, limits & governance

Data quality as the ceiling, the failure modes planners must be able to spot, and the governance to build in from the start.

Outcomes

What you'll leave able to do.

Explain AI's real value

Articulate where AI genuinely adds value across the planning cycle — and where it falls short.

Read and judge AI forecasts

Interpret AI-generated forecasts and decide when to trust them.

Layer human judgment correctly

Apply overrides, events and substitutions on top of AI output — the right way.

Diagnose and act

Use AI assistance to surface issues and drive decisions, not just generate chat responses.

Govern AI responsibly

Recognise failure modes, limits and governance requirements before they become problems.

Who should attend

Built for the people who run the plan.

Demand & supply planners

Build the confidence to work alongside AI day to day — reading outputs, applying judgment and governing the result.

S&OP / IBP leads

Modernise the integrated planning process and align the organisation on how AI fits into the consensus cycle.

FP&A & finance partners

Connect volume plans to revenue and margin outcomes, and understand the AI-generated inputs behind the numbers.

Planning managers

Evaluate AI adoption options and build the governance framework a team needs to use AI responsibly at scale.

Success stories

What participants say.

From planning teams who have been through Anamind's training programmes.

“It was amazing to see the efforts put in by Anamind to understand the concerns and give feedback. Also the portion where we discussed various techniques to forecast was very helpful. Would recommend to peers.”

Elanco · Pharma

“A great experience and we will engage periodically. Excellent Anamind our team was very happy.”

Sun Pharma · Pharma

“Very useful for demand planners, with in detail description of forecasting models and deep dive in forecasting accuracy.”

West Pharma · Pharma

“The most interesting thing learned in the training was live examples and the way questions were addressed. Would recommend this training to peers.”

Lots Wholesale Solutions · Retail
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