AI Training for Wholesale and Distribution Teams
Most AI training is written by people who have never allocated short stock or argued a freight claim. This is built for the people who do, and it runs on your own orders, SKUs and stock files.
- Run on your live data, not demos
- Warehouse, purchasing, service and sales
- On site Sydney and NSW, remote Australia wide
Why generic AI training does not survive a distribution business
Send a customer service team to a general AI course and they will come back able to summarise a document. Then Monday arrives with forty emailed purchase orders, a rep asking what is available in size 10, and a sell-through report due by lunch. None of that was covered, so nothing changes.
The problem is not that the team cannot learn AI. It is that the examples they were given had nothing to do with the work. Distribution runs on purchase orders, allocations, price lists, container bookings, back orders and freight claims. Training that never touches any of those is entertainment.
We have spent more than twenty years inside supply chains, and we AI-enabled a multi-brand distribution business from the inside, across every department, on live data, with real stakes. The training is built from that, not from a course outline.
Who we train
Different desks have different bottlenecks. We run sessions by function, or mixed when the workflows cross departments.
- Customer service and internal sales. The highest volume of repeat questions in the building. Order status, stock availability, delivery timing, invoice copies.
- Purchasing and planning. Supplier chasing, ETA confirmations, reconciling what was ordered against what landed, and keeping the plan current when it moves.
- Warehouse and despatch supervisors. The paperwork half of the role: exception reports, carrier queries, stock counts that do not agree.
- Sales and account managers. Account reviews, sell-through summaries, and the preparation that usually gets done in the car park before the meeting.
- Finance and admin. Freight invoice checking, supplier statement reconciliation, and the month-end pack.
What a session covers
We agree the workflows in advance, then work through them live with your own files. A typical day covers:
- Reading an emailed purchase order and turning it into something your ERP can accept, including the bit where product codes do not match.
- Answering a stock availability question properly, including the difference between what is on hand and what is actually free to sell.
- Building the weekly sell-through and aged stock summary, and the exceptions worth a phone call.
- Checking a carrier invoice line by line against what was quoted and what actually shipped.
- Preparing new-season product data, barcodes and channel listings from supplier files.
- Writing the awkward emails: a price increase, a short shipment, a delayed container.
What your team should never paste into a chatbot
This part gets skipped by most training, and it is the part that gets businesses into trouble. Staff who have not been told where the line is will either paste everything or paste nothing. Both are bad outcomes.
We cover what is safe, what needs de-identifying first, what should never leave your systems, and how that changes depending on the tool and the plan you are on. Your team leaves with a one-page rule they can actually remember, not a policy document nobody reads.
Making it hold after we leave
The failure mode for AI training is well documented and it is always the same. Everyone is enthusiastic for a fortnight, then a busy week arrives and the old way is faster because it is familiar. Six months later the licences are still being paid for and nothing has changed.
Three things prevent it. Train on real work so there is nothing to translate. Name one or two internal champions so people have somebody to ask. And come back, because the questions that matter only surface once the team has tried it under pressure. All three are built into how we run this.
When training is the wrong answer
Training helps where a person still has to make a judgement call. It is the wrong tool for work that is high volume and rules based. If your team re-keys two hundred order lines a week, teaching them to re-key faster misses the point. That work should be built and removed, not trained.
Most distribution businesses need some of both. Working out the split is what the AI Ops Audit does, and it is usually the more honest place to start if you are not sure.
Further reading
Common questions about AI training for wholesale teams
How is this different from a generic AI workshop?
A generic workshop teaches your team to write a blog post or summarise a meeting. Useful, but nobody in a distribution business is short of blog posts. We run the session on your own material: a real emailed purchase order, your actual SKU list, last month’s sell-through file. The team leaves having done their own work faster, not having watched a demo of somebody else’s.
Can you use our real order and stock data in the session?
Yes, and we prefer it. Working on live files is what makes the training stick. We agree beforehand what is in scope, and part of the session is teaching the team the difference between what is safe to put into a tool and what is not. If you would rather start with de-identified copies, that works too.
Who should be in the room?
Customer service and internal sales get the most immediate value, because they carry the highest volume of repetitive questions. Purchasing and planning come next. Warehouse supervisors benefit where they are doing paperwork rather than picking. We usually recommend mixed sessions of eight to twelve people so the workflows that cross departments come out in the discussion.
Do staff need any technical background?
No. If someone can write an email and use your ERP, they can do this. The people who tend to get the most out of it are the long-serving staff who know exactly which parts of the job are wasteful, because they finally have a way to remove them.
Which AI tools do you train on?
Whichever one you are already paying for, or the one that suits the work if you have not chosen yet. The principles carry across tools. We are not reselling anybody’s licences, so there is no reason for us to push a particular product.
Do you deliver on site outside Sydney?
Sydney and NSW are on site as standard. Interstate is on site for multi-day engagements, or remote for single sessions. Remote sessions run live, not as recorded video, because the value is in working through your files together.
What happens after the training day?
Training on its own fades. Every engagement includes a follow-up period where the team can send us the things that did not work, and we fix them. We also help you pick one or two internal champions, because a team with someone to ask keeps going and a team without one quietly reverts.
What if the real answer is that we need automation, not training?
Then we will say so. Training helps where a person still needs to make the judgement call. Where the task is high volume and rules based, such as re-keying two hundred order lines a week, training a person to do it faster is the wrong fix and it should be built instead. That is what the AI Ops Audit is for.
Start with a conversation about your operation
Tell us where the hours go. If training is not the right first step, we will tell you what is.
Book a discovery call15 minutes. No sales pressure.