Supplier follow-up automation
The chasing nobody wants to do, done and logged
Most follow-up email is data wrapped in a sentence. Once the exceptions are known, the drafts write themselves — and every one leaves a record that becomes a supplier scorecard.
The queue
Follow-up, grouped by supplier rather than by row
One supplier with twelve pending confirmations is one conversation, not twelve. Grouping is the difference between a useful morning and an inbox.
ABC Supplier
12 confirmations pending
XYZ Supplier
8 ASN missing
PQR Supplier
6 deliveries late
One supplier, everything open against them
- Confirmation pending12
- ASN missing5
- Late PO3
- Total open issues20
The draft arrives with the PO numbers, materials, pending quantities and dates already filled in — because all of it was already in the exception row. Writing it by hand is transcription, not communication.
Then one decision, and it is yours: send automatically, or hold every draft for approval.
Most teams start with approval on and move to auto-send for the routine categories once they have watched it for a month.
The side effect
A supplier record that builds itself
The reason to automate follow-up is not the emails. It is that, after a quarter of them, you finally have numbers to take into a supplier review.
| Metric | How it is calculated |
|---|---|
| Confirmation % | Confirmed PO / Total PO |
| ASN % | PO with ASN / Total PO due |
| On-time delivery % | On-time GR / Total GR |
| Late PO count | PO delivered after delivery date |
| Avg. confirmation lag | Average days between PO date and confirmation |
None of this needs anyone to maintain a tracker. It is arithmetic on data the daily run already produced.
What lands in your inbox
Three packs, on a schedule
Every one of these is generated from the same run — no one assembles them.
Daily exception pack
A tab per exception type — PO Number, Vendor, Material, Pending Qty, Pending Days and Pending Value, supplier-wise.
Supplier follow-up log
Every mail drafted and sent, with the PO lines and value it covered, timestamped for audit.
Monthly supplier scorecard
Confirmation %, ASN %, on-time %, late count, average confirmation lag and pending value per vendor.
The follow-up log is what makes this auditable — every mail, the PO lines it covered and the value at stake, timestamped. Which exceptions get chased first comes from the priority model.
Related
The rest of the same run
These are not separate products. One scheduled job produces all of it — each page just follows a different thread through the same data.
Exception Management
Exceptions ranked critical to normal, each with the value sitting behind it.
Read morePayment Reconciliation
Two files in, four answers out — which invoice, how much, and why.
Read morePO Confirmation Tracking
Confirmation received, pending and ageing — checked on every line, every day.
Read moreOr start from the beginning: the full platform, the time and ROI calculation or AI & business automation beyond procurement.
Run it on your own PO extract
Send a sample from one plant. In 30 minutes you will see exactly what the rules engine flags on your data — not a slide deck about someone else’s.
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