Logistics and supply chain

AI and automation training for logistics and supply chain

Warehousing, distribution, transport and supply chain teams were automating before the current wave of AI arrived, which means the questions here are more mature and more operational. The training is about running these systems, specifying the next ones, and preparing the workforce that has to work alongside them.

Built around logistics and supply chain work

9 courses ยท 59 facilitated hours

Applied roboticsLeadership5 hrsIn person / Live online

Robotics Investment and the Operating Model

A half-day for the people signing the cheque. Where the payback actually comes from, what it costs to run once the integrator leaves, and who in your organisation owns it on a Tuesday.

Addresses: Culture & Support, Responsible Use

Director / Head of, Executive / C-Suite

Course outline
Applied roboticsManager5 hrsIn person / Live online

Preparing Your Team for Automation

The robot is the easy part. This course is for the managers whose people will work differently once it arrives: what to say and when, which roles change and how, and the skills plan that makes the change fair.

Addresses: Culture & Support, Confidence & Skills

Team Lead, Manager, Director / Head of

Course outline
Applied roboticsManager7 hrsIn person

Safety, Risk and Compliance for Robotic Workcells

The duties that sit with whoever runs the cell: risk assessment, guarding and interlocks, safe systems of work, and the records an inspector will ask to see. Delivered against your own site.

Addresses: Responsible Use, Culture & Support

Team Lead, Manager, Director / Head of

Course outline
Applied roboticsManager8 hrsIn person / Live online

Specifying a Robotics Deployment

The document that decides whether a deployment succeeds is written before anyone quotes for it. Covers requirements, integrator selection, acceptance testing, and the clauses people wish they had insisted on.

Addresses: Tools & Access, Responsible Use

Manager, Director / Head of

Course outline
Technology adoptionPractitioner7 hrsIn person / Live online / Blended

Automating the Work Nobody Wants

The recurring, manual, low-judgement tasks that quietly consume a working week. Participants map one, automate it during the session, and leave with it running.

Addresses: Tools & Access, Daily Practice

Individual Contributor, Team Lead

Course outline
Technology adoptionPractitioner7 hrsIn person / Live online

Data You Can Actually Use

Why the report is wrong, and what to do about it. Covers the unglamorous work that decides whether anything downstream - dashboards, automation, AI - can be trusted.

Addresses: Tools & Access, Daily Practice

Individual Contributor, Team Lead

Course outline
Applied roboticsPractitioner5 hrsIn person / Live online

Robotics: What It Can and Cannot Do

A grounded introduction for people whose work is about to involve a robot. Separates what the technology genuinely does well from what the trade press implies, using real deployments and real failure modes.

Addresses: Confidence & Skills, Tools & Access

Individual Contributor, Team Lead, Manager

Course outline
Applied roboticsPractitioner7 hrsIn person / Live online

Warehouse and Logistics Automation in Practice

Automated storage, mobile robots and conveyor systems as they actually behave in a working site: at peak, with awkward stock, and when one unit goes down mid-shift.

Addresses: Daily Practice, Tools & Access

Individual Contributor, Team Lead, Manager

Course outline
Applied roboticsPractitioner8 hrsIn person / Blended

Working Alongside a Cobot

Collaborative robots share a workspace with people, which makes them an operational and behavioural question rather than only a technical one. Hands-on with the daily reality: starting it, guiding it, stopping it, and knowing when not to.

Addresses: Confidence & Skills, Daily Practice

Individual Contributor, Team Lead

Course outline

What this sector brings into the room

The automation already exists and nobody owns it
Sortation, conveyors, AMRs and goods-to-person systems bought over several years, with support arrangements that have quietly lapsed. The operational courses deal with running and troubleshooting what is already installed.
Preparing people for what is coming
Announcing automation badly costs more than the automation. The manager course covers what to say, when, and how to move people into the work that remains, without pretending nothing changes.
Planning data that is not good enough to plan with
Forecasting and analysis work starts from the state of the data, because a model built on a bad master file produces a confident answer that is wrong in an expensive direction.

Also runs for any sector

These work the same way whoever is in the room. They are still delivered on your own material, so they are no less specific to you - the sector simply is not what changes them.

Applied AILeadership5 hrsIn person / Live online

AI in the Executive Workflow

Senior leaders working on their own material rather than talking about AI in the abstract: board papers, briefing notes, analysis of a long document, and the tools that make it repeatable.

Addresses: Daily Practice, Tools & Access

Director / Head of, Executive / C-Suite

Course outline
Applied AIManager10 hrsIn person / Live online / Blended

Leading an AI-Ready Team

For the managers who decide whether adoption sticks. Focuses on setting expectations, removing blockers, and building the team habits that survive after the training ends.

Addresses: Culture & Support, Daily Practice

Team Lead, Manager, Director / Head of

Course outline
Applied AIManager5 hrsIn person / Live online

Running an AI Champions Network

Champions programmes fail politely: volunteers are named, nothing changes. This is for the manager who owns the network - choosing the right people, giving them time and permission, and keeping it alive after month two.

Addresses: Culture & Support, Daily Practice

Team Lead, Manager, Director / Head of

Course outline
Applied AIPractitioner7 hrsIn person / Live online

AI Foundations for Every Role

A facilitated introduction for staff who have little or no structured experience with AI tools. Participants leave having used AI on their own real work, with a clear view of what these systems can and cannot do.

Addresses: Confidence & Skills, Daily Practice

Individual Contributor, Team Lead

Course outline
Applied AIPractitioner6 hrsIn person / Live online

AI Tooling and Integration Clinic

A short clinic for teams whose tools are in place but underused or disconnected. Run against your organisation's actual toolset rather than a generic demo stack.

Addresses: Tools & Access

Individual Contributor, Team Lead, Manager

Course outline
Applied AIPractitioner7 hrsIn person / Live online / Blended

Embedding AI in Daily Workflows

Moves participants from ad hoc use to repeatable practice. Each participant maps one of their own recurring workflows and rebuilds it with AI in the loop.

Addresses: Daily Practice, Tools & Access

Individual Contributor, Team Lead

Course outline
Technology adoptionPractitioner5 hrsIn person / Live online

Getting Value From the Tools You Already Own

Most organisations have more unused capability sitting inside licences they already pay for than in anything they are about to buy. This is a working audit of what you have, what it can do, and what to switch on first.

Addresses: Tools & Access

Individual Contributor, Team Lead, Manager

Course outline
Applied AIPractitioner8 hrsIn person / Live online

Prompting and Output Verification

A working session on getting reliable results and, more importantly, on checking them. Built around the verification habits that separate occasional AI users from dependable ones.

Addresses: Confidence & Skills, Responsible Use

Individual Contributor, Team Lead, Manager

Course outline

Which of these does your organisation actually need?

The readiness assessment scores each person across five dimensions and maps the gaps onto this catalogue, by department and by role. Five minutes per person, and it answers the question with a measurement rather than a guess.