Max HenryFounder & Executive Director, Global Supply Chain Council (GSCC) · Founder & Executive Director at Global Supply Chain Council (GSCC)

AI Taxonomy Revamp: 200K Line Items Classified! #shorts

19 Oct 2026 · 1 min

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1:01

In this YouTube short, the speaker outlines an in‑house overhaul of their e‑sourcing taxonomy. They first cleaned master data, removing large amounts of garbage, and recognized that their existing UNSPSC‑based taxonomy was inadequate for spend analytics, competitive bidding, and spend‑funnel strategy. By analyzing their historical spend, they designed a new, spend‑history‑driven taxonomy and used AI to automatically classify roughly 200,000 line‑item records. The revamp aims to improve spend visibility, bidding effectiveness, and overall sourcing strategy.

Chapters

specifications, we deployed, we eliminated, we removed a lot of garbage in the system. That's something which in-house we have built it manually. You cannot do that. That's where we build the complete solution. And then the complete classification. So on our e-sourcing tool, we also use e-sourcing tools like the other companies. So that's where we completely revamped our taxonomy. taxonomy. So we were also using a taxonomy based on UNSCP before as a part of the implementation it came, but we said, we see, we saw it is not helping us for the spend analytics, competitive bidding, spend funnel strategy. So we decided to revamp it. We did it on basis of analyzing our complete spend history. Again, you go back to the master data. And we defined the taxonomy, we classified using AI classified the complete spend. I'm talking about 200,000 line items.