An AI supplier merge agent takes a confirmed set of duplicates and proposes which record should survive, based on completeness, activity and the age of the record, for a person to choose.
Agent takes a confirmed duplicate pair.
Agent compares every field and linked record.
Agent proposes the surviving record and values.
Master data owner approves the merge.
Open POs, invoices and contracts point to the survivor.
The retired record is blocked and kept for audit.
It compares field by field and shows the value to keep, the value to retire and any conflicts, such as two different bank accounts or payment terms.
It lists everything linked to the records that must move, such as contracts, open purchase orders, invoices, contacts and documents, and prepares the plan for a data owner to approve.
A merge is difficult to undo, so a careless one can break contracts, redirect payments or erase history.
Open orders, invoices and contracts all point to the old records.
Two records hold different terms or bank accounts and only one can win.
Merging in the wrong direction drops audit trail and past performance data.
Moving a bank account across records without checks can redirect funds.
Other systems may still use the retired record's identifier.
The agent only starts from a duplicate set a person has confirmed.
It suggests which record to keep, with reasons, for a reviewer to accept or change.
Each field shows keep, retire or conflict, with the source of every value.
Contracts, orders, invoices, contacts and documents are listed with how each will be moved.
A merge plan with conflicts highlighted goes to a data owner, and the result is logged after approval.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Choice | Staff guess which record to keep. | Agent proposes a survivor with reasons based on activity and completeness. |
| Linked items | Open orders and contracts are forgotten. | Agent lists every linked item before the merge. |
| Conflicts | Conflicting values are overwritten. | Conflicting fields are shown for the owner to pick. |
| Reversibility | Merges cannot be undone. | The merge plan records the old values. |
| History | Spend history splits across records. | Combined history is shown for the survivor. |
| If | Then | Who decides |
|---|---|---|
| both records hold different bank details | hold the merge for finance verification | AP manager |
| open POs exist on the retiring record | list them and propose relinking | Master data owner |
| a contract references the retiring record | flag legal | Contracts manager |
| one record is more complete | propose it as survivor | Master data owner |
| a field conflicts | ask the owner which value stays | Master data owner |
| no open items exist | prepare a simple merge plan | Master data owner |
The agent defers the plan until the run closes. The owner schedules it.
The agent flags that records use different currencies and asks which stays. The owner agrees with finance.
The saved merge plan shows the old values and links. The owner can reverse it.
The agent asks for confirmation of a corporate change before proposing a merge. Legal decides.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Agree survivor criteria.
Have the agent prepare merge plans.
Execute merges in small approved sets.
Retain retired records for evidence.
It shows how many merges hold up without rework. A low rate means conflicts or linked items are being missed before approval.
Quick answers to what people ask most about supplier merge.
Book a demoIt is combining confirmed duplicate supplier records into one record while keeping history, contracts and open transactions. An AI agent can prepare the plan and flag conflicts for a person to approve.
No. It prepares the plan and the mapping. A data owner approves, and the change is logged.
The agent flags it as a conflict and a person in AP or treasury verifies which account is valid before it is kept.
That depends on your systems. The agent records what was changed so that a reversal can be planned, but you should treat a merge as a decision that needs care.
Duplicate supplier detection is the step of finding supplier records that refer to the same business under different names, numbers or spellings.
→Supplier profile enrichment is the step of adding useful facts to a supplier record that were not supplied during onboarding, such as industry, size, parent company, certifications and website.
→Supplier data cleansing is the work of finding and correcting errors, gaps and inconsistent formats in existing supplier records, such as misspelt names, outdated addresses and mixed date formats.
→Onboarding status tracking is the step of keeping a live view of where each supplier is in onboarding, which tasks are done, who owns the next one and what is overdue.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
