Tender monitoring used to mean one thing: keyword alerts. Pick some search terms, get emailed every notice that contains them. It technically works and it’s exhausting — the signal-to-noise ratio is terrible, and the tenders that would have fit under a slightly different phrasing never arrive. AI monitoring is the shift away from matching words to matching meaning.
Keyword alerts fail in both directions. They over-trigger on every notice that happens to contain your term — a “security” filter catches physical guarding, cyber, and financial-security contracts alike. And they under-trigger: a tender described in the buyer’s words rather than yours slips through. You end up either drowning in near-misses or quietly missing fits.
AI tender monitoring reads the full notice — subject, requirements, CPV/NAICS codes, buyer — and scores it against a model of your business rather than a string match. Give it the ground truth of what you sell and it learns your Fits and No-Fits, then ranks new notices by how well they match. The output is a short, ordered list with a reason attached to each — not a firehose. That’s exactly what adaptive tender matching does across every connected market.
Try it on your catalog
Import what you sell and watch qlows rank live tenders by fit — across 35+ markets.
No keyword lists to maintain. Free to start.
Match my catalog free →The next step beyond a dashboard is monitoring from inside the AI you already work in. Over MCP, an assistant like Claude or ChatGPT can query live tenders on demand — “anything new in my categories this week?” — and reason over the results in the same thread you draft in. The free tender MCP connects public procurement across 35+ countries to your assistant; see how to find tenders with Claude for setup, and qlows MCP for the full capability.
- Define what you sell. Import your product and service catalog — the ground truth the matcher scores against.
- Pick your markets. Choose from the connected WTO-GPA markets in the tender directory.
- Let it learn. Confirm a few Fits and No-Fits; the ranking sharpens.
- Receive fits, not floods — in the dashboard, or via MCP in your assistant.