Opportunity scan
Describe what you supply, pull the matching contract notices into one notebook, and sort by buyer and closing date — a bid list assembled in the time it used to take to search one portal.
Turn a bid decision into a sourced search instead of a portal crawl. Describe what you supply, pull the matching contract notices — the full text, not a snippet — into one notebook, and track a buyer or category as new opportunities are published.
Find the notices that match[1]
Read the full notice, not a summary[2]
Track a market over time[3]
File the bid file and its sources[3]
What you can do
The concrete work behind "ai for procurement research" — not a feature list.
Describe what you supply and search contract notices by that, not by remembering the exact procurement category.
Pull the published notice itself into a notebook, so the detail that decides whether to bid isn't lost in a snippet.
Keep a standing notebook on a buyer or a category, so new notices accumulate in one place instead of a fresh search each week.
Export the notice and your notes to versioned storage alongside anything else you're building for the response.
What it reads against
The reference collections this job draws on. Each is a page you can open and read before you trust a single answer.
Collections are libraries the workspaces read from, kept as what they are rather than flattened into one pile. See the full collection breakdown.
The stack under the work
Listed in the order the work moves through them, each carrying its live status.
Example workflows
Describe what you supply, pull the matching contract notices into one notebook, and sort by buyer and closing date — a bid list assembled in the time it used to take to search one portal.
Before responding to a notice, pull a buying authority's recent procurement history into one place to see what they've bought before and from whom.
Questions
Different job? Browse every use case or start from your industry.
For public-sector analysts
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