Love Procurement: The Podcast

There are a handful of genuinely useful practitioner points (interrogating existing CSR documents instead of re-asking suppliers, keeping sourcing event runner-up data), but the episode is heavily padded with truisms and circular affirmations that consume most of the runtime.

“the best way to discover a new supplier on a sourcing event is to look at who finished second five years ago”

“you still have to understand that if you have garbage in, you're still going to get garbage out”

The sourcing-runner-up retrieval tip and the idea of interrogating already-collected documents (CSR reports) rather than re-querying suppliers are genuinely practical and under-discussed; however, the bulk of the framing - jet fuel analogy, 'AI amplifies business knowledge,' garbage-in/garbage-out - is well-worn territory.

“if I collect a quality policy...if later somebody asks me the question, do they have an SBTI commitment? Start to understand is, okay, normally I'd go out and ask the question. But now can I ask the question of what I already gathered?”

“everybody's positioning the AI in every aspect of your life...we have a tendency to try to make the sexiest, most complex problem we're going to solve with AI”

McAdoo claims 30 years in procurement and offers credible practitioner-level texture, but his current role is Director of Product Marketing at a procurement software vendor - a vendor-side thought-leader position rather than an active operator doing this at scale, which limits the weight of his claims.

“I will say this is in my 30 years being in procurement and in business in general”

“He's a director of product marketing at Ivalua”

The episode is almost entirely abstract; the only 'example' is a fictional Acme Supply Company duplicate scenario, and there are no named customers, real metrics, dollar figures, or verifiable case data to substantiate any claim.

“you have Acme Supply Company, but then you also entered a duplicate that's Acme's supply company. And then you added a third one in there that says the Acme Supply Company”

“look at your top 20 suppliers, top 20% of your suppliers, because they're probably driving 80% of your spend”

The host structures the conversation competently - moving from data quality to cleansing to AI use cases - and frames questions with some nuance, but there is virtually no pushback, no probing of vague claims, and the guest is consistently affirmed rather than challenged.

“Do you find that that enthusiasm sometimes sees teams overestimating either what the AI can do, or maybe where the line should be”

“Is the supplier data management challenge the same? Is it similar with just maybe some tweaks depending on which side you're on?”