Who is buying, and what is next
What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.
No new dashboard. ChatGPT connects to the source data and answers there.
The gap between a tender being published and the right person reading it is where most missed opportunities actually live. Not in coverage, since the notice was public the whole time, but in routing: it arrived in a shared inbox, or in a digest, or on a portal someone checks on Tuesdays, and the closing date was three weeks out.
Putting upcoming notices behind ChatGPT shortens that path to a question anyone on the team can ask. What has opened this week that fits what we do. Anything from the agencies we are tracking. Anything closing in the next fortnight we have not looked at. The answers come from live published records rather than from a digest compiled overnight.
It is worth being honest about what this does not fix. If nobody asks, nothing gets surfaced, in the same way that nobody reading the digest means the digest failed. What changes is the cost of asking, which drops to a sentence in a tool already open, and that is usually enough to change the behaviour.
What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.
The suppliers who keep winning in a category, with their award history and estimated win rate. Know the incumbent before you commit a team to the response.
Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.
Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.
Four questions, so the conversation is useful. We come back to you directly.
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