AI in procurement — practical use cases for Poland buyers
Free 50-min webinar. We show 6 real AI use cases shipping in 2026 — spend analytics, supplier risk scoring, contract review, KSeF reconciliation. No hype, only what works.
6 use cases we'll demo
(1) Spend cube auto-classification (replace 80% of manual taxonomy work). (2) Supplier risk score from news, court filings, financial data. (3) Contract red-flag detection in 30 seconds. (4) KSeF XML reconciliation — match invoice line to PO line at 99.2% accuracy. (5) RFQ auto-summarisation for shortlisting. (6) Negotiation prep — competitor pricing, recent wins/losses by category. All live demo, no slideware.
What we won't say
No 'AI will replace buyers' — that's not the point. AI removes the lowest-value 20% of buyer time (data wrangling, classification, paperwork) so you can spend more on the 80% that matters (relationships, strategy, negotiation). We'll be specific: which tools, which costs, which integration patterns we've shipped.
Who's on the panel
Jin Park — Corp-Merch CTO (former AI lead at Klarna). Esther Lima — CPO at a Poland logistics unicorn (her team uses these tools daily). Sam Chiu — Practice Lead at Procurement Leaders (analyst, neutral perspective). Moderated by your country manager. EUR 0; recording emailed.
FAQ
Will you cover ChatGPT vs Claude?
We treat LLMs as commodities — we use whichever is best for the task. Use cases shown work with current frontier models (and the prompt patterns are portable).
Do I need an AI strategy?
No — start with one use case, learn, expand. We show how to do this without a 6-month strategy doc.
What about data security?
We use private deployments (Azure OpenAI / Anthropic on AWS Bedrock) — no data leaves your tenant. We cover the audit-trail patterns.
Costs?
Use case 1 (spend cube) costs us ~EUR 0.04 per invoice (LLM tokens). At 10k invoices/month, that's EUR 400 vs ~80 hours of analyst time. We share our metering.
Can my team get hands-on time?
Webinar is demo. For hands-on, we run a half-day workshop quarterly (EUR 290) where your team uses these tools on a sample dataset.