An AI duplicate request detection agent compares each new request with open requests, recent approvals and active contracts, looking at vendor, product, amount, requester and wording.
A request is submitted to the queue.
The agent looks for similar open and recent requests.
It weighs vendor, item, requester and timing.
The likely duplicate is shown beside the new request.
A buyer merges, links or keeps them separate.
The decision and reason are stored on both.
When it finds a likely match, it attaches the earlier record and a short note on what looks the same and what differs.
It does not merge or close anything. A procurement analyst reviews the flag and decides whether the requests are the same need.
Duplicates are rarely identical on paper, which is why they get past manual review and surface only when two invoices arrive.
Two teams ask for the same tool using different names or product tiers.
Nobody sees the whole queue, so overlap goes unseen.
A requester who hears nothing sends the request again, creating a second record.
The need may already be met by a licence another team holds.
A genuine second purchase can be wrongly closed if checked carelessly.
Vendor names, product names and amounts are standardised so similar entries can be compared.
The agent looks through open requests, recent approvals and active contracts for overlap.
Matches are ranked by how many signals agree, such as vendor, product, requester team and timing.
Each flag lists what matches and what does not, with links to both records.
Likely duplicates go to an analyst, while weak matches are only noted on the record.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Spotting repeats | Duplicates are found only if a buyer happens to remember the earlier one. | Every new request is compared with open and recent ones automatically. |
| Evidence | The buyer cannot easily show why two requests are the same. | Matching fields are shown side by side with the reason for the match. |
| Team overlap | Different teams request the same tool without knowing. | Matches across requesters and departments are surfaced to the buyer. |
| Wrong merges | Similar looking requests are merged by mistake. | The agent only proposes; a buyer confirms any merge. |
| Follow-through | Duplicates are noticed after approval and an order is already placed. | Matches are flagged before the request leaves intake. |
| If | Then | Who decides |
|---|---|---|
| Same vendor, same item, same requester, recent date | Flag as likely duplicate and pause the later request | Buyer confirms or releases it |
| Same vendor and item, different requester | Flag as possible overlap and show both requesters | Buyer decides whether to consolidate |
| Same vendor, different item | Do not flag as a duplicate; note the open request | Buyer reads the note if relevant |
| Earlier request was rejected | Show the rejection reason beside the new request | Buyer decides whether circumstances changed |
| Earlier request was fulfilled recently | Flag as possible repeat purchase and link the order | Buyer checks whether another unit is wanted |
| Match is weak | Keep a low-confidence note but do not pause anything | Buyer ignores or reviews at will |
Two teams really do need separate licences for the same tool. The buyer marks the match as intentional and the agent stops flagging that pair.
A request for a tool already under contract may be a renewal, an add-on or a rebuy. The agent shows the contract, and the buyer classifies it.
A requester files again after a rejection with changed text. The agent links it to the earlier request so the history stays together.
Different spellings of one vendor can hide a match. The agent compares against the vendor record, and a buyer merges variants that are the same vendor.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Begin with vendor and item matches within a short window.
Have buyers decide each case and record why, to learn what real duplicates look like.
Add cross-department and looser matches as the flags prove useful.
Revisit how far back and how loosely the agent compares, using intentional-repeat decisions.
It shows how many flags were worth a reviewer's time. Very low precision means the matching is too loose and reviewers will begin to ignore it.
Quick answers to what people ask most about duplicate request detection.
Book a demoIt is checking whether a new purchase request repeats or overlaps one already open, recently approved or covered by a contract. An agent can compare many records quickly and flag likely matches.
No. It flags them with its reasoning. A person decides whether to merge, close or keep each one.
It compares vendor, product, amount, team and timing as well as text, so it can find likely matches even when the descriptions differ. A reviewer confirms.
The reviewer can mark the flag as a valid separate need. That outcome is kept so the agent's matching can be reviewed.
Intake form completion is the step where a purchase request form is filled in with the details procurement needs.
→Missing information follow-up is the step where gaps in a purchase request are identified and the requester is asked to fill them.
→Request routing is the step that sends a purchase request to the right queue, team or owner once it has been captured.
→A software request is an employee's ask to buy, renew or add seats for an application.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
