How to choose AI for a wholesale distribution business: a buyer's checklist
AI demos all sound the same, then behave very differently once they meet your business. Here is a practical checklist for distributors: the questions to ask, the red flags to watch for, and the proof to insist on.
If you have sat through a few AI pitches, you will know the feeling: they all sound identical, and they all sound great. Everyone automates the back office, everyone reads documents, everyone has agents. The differences only show up once the tool meets your actual business, which is far too late to discover them. A short checklist, asked up front, saves you from that.
Start with the job, not the tool
Before you look at any vendor, work out where the money actually goes. Wholesalers lose an estimated 3 to 8 percent of revenue a year to manual work, spread across order-entry errors, dead stock, late payments, manual data entry, and missed sales. Find your biggest one or two, and judge every tool on how well it addresses those, not on the length of its feature list.
The questions that separate real from demo-ware
Ask these six, and listen carefully to the answers:
| Ask the vendor | What a good answer sounds like |
|---|---|
| Which side of the desk were you built for? | For distributors, who resell others' catalogues, not for brands planning their own output |
| Do you replace my ERP? | No. We sit on top of it and write into it, no migration |
| How do you handle price and credit decisions? | A named human approves them; the AI proposes |
| What happens to an order you cannot match? | It is routed to a person with the context to decide |
| How fast can we go live? | Weeks, not months; typically around 2 to 4 weeks |
| Can you show real results? | Yes, with actual numbers, not just a demo |
Red flags
- It assumes you own and plan the catalogue: it was built for brands, and you will spend your life translating.
- It wants to replace your ERP, turning a quick win into a migration project.
- It runs fully autonomously on price and credit, with no human checkpoint where money is at stake.
- It cannot show a single real outcome beyond the demo environment.
Green flags
- It was built around a distributor's shape: many suppliers, many price lists, per-customer terms.
- It integrates with the accounting and trade systems you already run.
- It keeps a human approving anything that touches price, credit, or a customer relationship, with an audit trail.
- It can point to real results, ideally its own, not just a customer logo.
The proof to insist on
Ask every vendor for evidence, and be wary of anyone who only has a demo. We hold ourselves to the same test: we run Conducta inside our own wholesale business, and the numbers are public. Nine months after switch-on, gross profit was up 58 percent and the operating loss was down 96 percent, from audited management accounts. You do not have to take our word for the approach; you can ask us, and any vendor, to show the receipts.
What this is not
This checklist is not a way to find the tool with the most features; it is a way to find the one that fits your business and will actually get used. The best AI for a distributor is the one your team adopts without noticing, that leaves your ERP in place, and that keeps a human on the decisions that matter. If you want a straight read on how a given approach measures up, that is a sensible thing to talk through before you commit.
Frequently asked questions
How do I evaluate AI for a distribution business?
Start with the job, not the feature list. Work out which of order processing, invoice chasing, forecasting, or customer questions costs you most, then judge each vendor on whether it was built for distributors, integrates with the systems you run, keeps a human on money and trust decisions, and can show real results.
What questions should I ask a vendor?
Which side of the desk were you built for; do you replace my ERP or sit on top of it; how do you handle decisions about price and credit; what happens to an order you cannot match; how fast can we go live; and can you show real, numbers-backed results.
What are the red flags?
A tool that assumes you own and plan the catalogue (it was built for brands), that wants to replace your ERP, that runs fully autonomously on price and credit with no human checkpoint, or that cannot show a single real outcome beyond a demo.
How long should it take to go live?
Weeks, not months. If onboarding looks like a multi-month IT project or a system migration, that is a sign the tool does not sit cleanly on top of what you already run. Our own benchmark is a live service in about 2 to 4 weeks.
Curious about Conducta?
Thirty minutes with a founder. Bring your three worst manual processes.