Buyer spend history, inside ChatGPT

Account planning for public sector buyers runs on thinner evidence than anyone likes to admit. A capture manager builds a picture from the tenders they have seen, a conversation at a conference and whatever the buyer's website says about strategy. The purchasing record, which would settle most of it, sits unread because assembling it means reading notices one at a time.

ChatGPT with access to those records turns account planning into something interrogable. What has this buyer purchased over five years. Which suppliers recur. Is spend growing in our category or being consolidated elsewhere. The answers come from published contract data, so the plan rests on what the buyer did rather than on what they said at a briefing.

It also makes the unpromising accounts obvious sooner, which is the less exciting half of the value and probably the larger one. Territory time is finite, and a buyer with a decade of single-supplier renewals is a poor use of it. Seeing that in ten minutes rather than after two bid cycles is a real saving.