A wholesale business runs on a combination of physical handling and administrative processing, and the two are constantly intertwined. Orders are placed, received, stored, picked, shipped and invoiced, and each step comes with a record that must match the previous one. In this type of company, most office hours go into order processing, inventory administration, purchasing and customer contact about delivery times, returns and prices. On the floor, the work lies in receiving, storage, order picking and preparing shipments.
What drives the outcome is the extent to which that work is physical, and the extent to which systems connect to one another. A wholesale business often works with an ERP package, a separate WMS for the warehouse, a webshop connection for B2B customers, and a series of Excel files that fill the gaps. That fragmentation means that many tasks do process information, but the information first has to be gathered from multiple places before AI can do anything with it. On top of that, there is a lot of direct customer contact: by phone, by email, about specific agreements that are not always recorded in the system. And there is physical work that does not happen behind a screen: lifting boxes, stacking pallets, measuring something on the floor.
That mix of structured data, fragmented systems, customer relationships and physical handling determines, for each task, which of the three categories it falls into: AI can take it over, AI can partly do it under oversight, or it remains human work.
Tasks that mainly consist of reading, checking and processing structured data lend themselves well to being taken over by AI. Think of matching purchase orders with packing slips and invoices, flagging price deviations, and creating standard orders based on fixed ordering patterns. Archiving documents and checking them against retention periods also often falls into this category, because the rules are clear and the documents usually already arrive digitally.
The condition is always that the input is reliable and unambiguous. Where that is not the case, a task automatically drops into the second category, even if the task seems simple at first glance.
A large part of the work in wholesale consists of tasks that AI can prepare or carry out, but where a human must approve or reject the outcome, for a reason. Examples include drawing up quotes for non-standard customer agreements, assessing return requests that fall outside the standard terms, and preparing orders for shipment and the associated shipping administration. For that last task, a system can prepare the labels and documents, but someone must check whether the correct units, packaging and route have been chosen.
Customer contact about prices, delivery times and complaints also often falls into this middle category. AI can draft a first response or retrieve relevant information, but the final tone and decision require someone who knows the customer and the context.
Physical work on the floor does not change just because AI is available. Loading a truck, stacking pallets, manually checking a damaged shipment: that remains human work, even though the recording of it can be partly automated. The same applies to negotiations with suppliers, decisions about new product lines, and situations where a customer requests an exception that falls outside every recorded pattern.
Keeping production records on the floor is a task that partly overlaps with wholesale work, especially at companies that also assemble or package for customers. The same applies there: the record-keeping can be supported, but the action itself remains with people.
This classification says something about the task, not about the employee currently performing it, and also not about what an employer does with that information. Whether and how an organization makes personnel decisions based on changing tasks is up to the organization itself, and its own legal requirements apply there. This page only describes which part of the work can technically and practically be handed over to AI, and which part cannot.
The ratio between the three categories differs greatly per wholesale business. A company with many custom orders and phone-based customer contact will have less in the first category than a company that mainly sells standard products through a webshop. For a broader picture of comparable business processes, it is also worth looking at what AI can take over in manufacturing or at what AI can take over in the transport sector, since wholesale businesses are often links between those two worlds.
To see how this classification applies to a specific role or department, you do not first need a complete picture of the entire organization. The free quickscan from ftetoai consists of twelve questions, works without an account, and gives an indication of what part of the hours in the outlined profile can be taken over by AI today. The full work scan, which goes deeper into individual tasks, is still under construction; it does not yet exist at this time, and is therefore not offered here either.
Vraag maar. Ik ken de kennisbank van deze site; wat ik niet weet, zeg ik erbij.
Answers come from this site’s knowledge base. Not tailored advice, and not a scan of your company.