AI Workshops for Transport and Logistics: Build One Workflow You Can Reuse

You send the same delivery-status reply twenty times a week. You write the same job update after every run. You summarise the same delivery documents for the same customers. An AI workshop helps a transport or logistics business when it is built around one repeated task, a job update, a delivery document or a customer enquiry, using your own source material and a draft you check before it goes out. We build training around your business tasks, source material and the output you need. You can also travel to the Sunshine Coast for our public workshop.

Key takeaways

• Bring one repeated task, a delivery-status reply, a job update or a document summary, and work on it for four hours. Our public Sunshine Coast workshop gives you four hours on one repeated business task, and your task determines the training example.
• Five inputs, Context, Task, Source, Rules and Output, turn that one task into instructions your team can rerun.
• You test the workflow on a safe example and check every name, date and figure against the job sheet you supplied.
• Published online courses teach the field broadly. One MIT program runs as an intensive one-week curriculum for leaders bridging AI oversight and supply chain implementation. 1 Our session is in person, on your laptop, building one workflow with hands-on help.
• The next public date is to be announced, so the current step is joining the waitlist. People from other areas can travel to the Sunshine Coast workshop.

Which repeated transport and logistics tasks can an AI workshop help you handle?

Any task your business repeats in writing. We teach business owners and teams how to use AI on the work their business repeats, and your business task determines the training example. The public Sunshine Coast workshop gives you four hours on one of them.

Published courses point at the same territory. Course material covers demand forecasting, inventory management, transportation optimisation and last-mile delivery. 2 Other course descriptions list delivery optimisation, forecasting, sourcing and warehouse planning, 3 along with route planning, inventory control, supplier evaluation and risk forecasting. 4 Some modules cover order tracking and logistics support connected to OMS, WMS and transport APIs. 5 Others cover compliance documents and customs paperwork. 6 Return requests and reverse logistics instructions appear too. 7

Pick something narrower than a whole category. One delivery-status reply to one customer. One job update for one run. One summary of one delivery document. Bring the information the task needs.

If the job runs through several stages, choose the drafting step first. You can build the instructions for that step without connecting every system in your business.

How do you turn a job update or customer enquiry into an AI workflow you can run again?

You write five inputs: Context, Task, Source, Rules and Output. Context describes the business, customer and situation. Task names the job the AI assistant needs to do. Source supplies the notes, documents or approved facts for that job. Rules set the limits and identify missing information to flag. Output describes the format and information the finished draft needs to contain.

Write the five inputs before you paste in your source material. They describe the job, and they give you the basis for checking what comes back.

Prompt writing is the taught skill in this field. Course material covers prompt fundamentals for supply chain professionals, 8 writing effective prompts, structuring multi-step queries and chaining prompts for logistics scenarios. 9 Prompt libraries and templates get used to standardise order fulfilment, route optimisation, shipment tracking and supplier communications across ERP and TMS systems. 10 The models behind this, GPT and Claude among them, generate content from prompts and support domain-specific applications in logistics and supply chain. 11

The difference in our session is the source. Your own notes, templates and rules go into the workflow, so the draft comes back in your language with your facts.

How do you check an AI-drafted update or document before it reaches a customer?

You check the output against the information your business supplied. Compare names, dates, figures and claims with your source. Recalculate totals. Check that the draft answers the request and stays within your scope. The person responsible for the work approves the final version.

Document and data summaries are a common AI application. Course material covers turning IoT sensor readings into narratives for logistics, supply chain, manufacturing and facility operations, 12 and turning data-heavy monthly reports into narratives. 13 A summary is only as good as the check you run on it against the original.

In the session, participants test the workflow on a safe example and check the result against their source material. You agree on review rules while you build, not after a customer receives something wrong. You keep the instructions and the example you tested, and you leave with a workflow you can use again.

How does a hands-on workshop compare with an online AI course for supply chain and logistics?

An online course teaches the field. A hands-on workshop builds one thing you own at the end. You build on your own laptop with hands-on help.

MIT's program draws on material from its Supply Chain Management Master's program and gives a framework for integrating machine learning and deep learning into logistics networks. 17 One Udemy course advertises more than 1,000 GenAI prompts for logistics and supply chain tasks. 18 That is a large library to read. It is not a workflow that runs your job update with your facts in it.

We build these for ourselves and for clients. In our own business, Searchmaxxed, we built AI workflows for creating blog posts, doing SEO and preparing custom proposals. We helped automate Radiant Roof Repairs' internal processes using AI. We used AI to automate SEO, enquiries and admin for Glen House Homoeopathy.

Can you train your dispatch, admin and operations team together?

Yes. We bring private AI training to your workplace, and we help your team agree on the source material, instructions and review process for a repeated task. When dispatch, admin and operations all touch the same job update, one agreed workflow beats three versions of it.

Private onsite AI training is available on the Sunshine Coast and in Brisbane, Gold Coast, Ipswich, Noosa, Moreton Bay, Logan, Redlands, Toowoomba and Gympie. Sunshine Coast onsite training covers Maroochydore, Caloundra, Mooloolaba, Buderim, Birtinya, Nambour and Coolum. Private training takes place at the team's workplace.

Sessions are scoped for roughly 4 to 20 people. Larger teams can be split across sessions. Each person brings the laptop they will use afterwards, and tool and account requirements are confirmed during scoping.

After your enquiry, we discuss your team's tasks, location and experience. We agree on the training scope and prepare a fixed quote. Team size, session length and travel determine the price.

What does the Sunshine Coast workshop include and how do you book a place?

Four hours in person, A$495 including GST per person, one repeated business task, and the written AI workflow you build. The date is to be announced, so the current step is to join the waitlist.

People from other areas can travel to the Sunshine Coast public workshop. If your depot sits outside the region and you would rather train the whole team at once, private onsite training is the other route.

Frequently asked questions