AI agentIntake-to-pay

AI quantity variance agent

An AI quantity variance agent compares billed quantity with ordered and received quantity for each line, and totals them across all invoices and deliveries against the PO.

  • People stay in control
  • Every action is logged
  • Start with a small sample
Invoice quantities
PO quantities
Goods receipt records
Return records
AI quantity variance agentPrepared for review
  • ✓Quantity variance per line
  • ✓Receiver query
  • ✓Excess hold list
Handed toReceiver gets quantity questions
5inputs it reads
6steps in the walkthrough
2points where a person decides
3outputs it prepares
See it run

Watch it work

Agent Record Person
Live walkthrough
  1. 1Read quantitiesAgent
  2. 2Fetch receiptsRecord
  3. 3Measure varianceAgent
  4. 4Receiver confirmsPerson
  5. 5Decide the linePerson
  6. 6Update recordRecord

The agent extracts invoiced quantities and units.

It pulls ordered and received quantities.

It compares quantity per line and explains the gap.

The receiver checks what actually arrived.

AP releases, holds or short-pays the line.

Resolved quantities update the PO and receipt.

The basics

What is an AI quantity variance agent?

It tells apart an over-billing, an under-delivery, a missing receipt and a unit-of-measure mismatch, because each needs a different fix.

Read the full explanation

It tracks how much of the PO has been billed so far, to stop the cumulative billed quantity exceeding what was ordered.

Where it breaks

Why this step is hard by hand

Quantity problems are rarely one big error. They come from partial shipments, split invoices and unit mix-ups that look identical on the surface.

Several receipts and invoices relate to one order line.

A box of twelve and twelve single items are not the same quantity.

Staff record what arrived days later or in the wrong quantity.

Suppliers ship extra and bill for it without agreement.

Nobody adds up prior invoices on the same PO line.

The path

How the agent does it

  1. 01Collect quantities

    The agent reads the billed, ordered and received quantity for every line, and prior billed totals on the PO.

  2. 02Normalise units

    It converts units of measure where the data allows, and flags where it cannot.

  3. 03Compare cumulatively

    It tests the new invoice plus earlier ones against ordered and received quantities.

  4. 04Classify the gap

    It labels it as over-billing, short receipt, missing receipt or unit mismatch.

  5. 05Route to the right person

    The receiver checks receipts, the buyer checks order intent, and AP holds the invoice meanwhile.

Want to see this flow on your own items?

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Under the hood

Inside the work

AspectBy handWith the agent
SpottingQuantity overbilling is noticed only when stock counts fail.Each line is compared with received quantity on arrival.
UnitsCases, boxes and each are confused.Units are normalised or flagged for the buyer.
Partial deliveriesSeveral part deliveries make totals hard to follow.Running totals show ordered, received and billed.
Follow-upReceivers are asked days later from memory.The receiver gets a direct question with the line and dates.
CreditOverbilled quantity is paid and recovered later.Excess is held, so a credit can be asked for first.
People and control

Who decides, and what to watch

What stays with people

  • ✓
    Confirm what arrivedReceivers record and correct deliveries.
  • ✓
    Approve extra quantitiesBuyers decide whether to accept over-delivery.
  • ✓
    Contact the supplierA person queries or disputes the billed quantity.
  • ✓
    Decide payment treatmentAP chooses whether to hold, short-pay or pay the undisputed part.

Mistakes to avoid

  • ×
    Matching one invoice at a timeCumulative billing is where over-billing hides.
  • ×
    Ignoring unitsPack sizes cause false matches and false alarms.
  • ×
    Receiving in bulkRecording a whole delivery at once hides shortfalls.
  • ×
    Closing POs lateOpen PO balances keep inviting stray invoices.

Not sure where quantity variance fits in your process?

Talk it through with the team. We will map it to your steps and show where a person stays in control.

  • Works from a sample of your real items
  • Shows what Flo handles and what it hands over
  • No commitment to start
Rollout

Rolling it out

  1. 1Goods lines first

    Start with stocked or counted goods.

  2. 2Fix receipts

    Improve booking-in before widening.

  3. 3Add unit rules

    Introduce conversions.

  4. 4Add return netting

    Link credits to returns.

Signs you would benefit

Overpaid quantitiesCredits are chased after payment.
Late receiptsGoods are booked in days after delivery.
Unit confusionDisputes arise from case versus each.
Stock mismatchCounts differ from billing.
The numbers

How to measure it

Set your own baseline first. We do not publish benchmarks without a source you can check.
Metric 1

Quantity mismatch rate

Mismatch rate (%) =
invoice lines with billed quantity above received quantityinvoice lines checked× 100

This shows how often billing runs ahead of delivery. A concentration in one supplier or warehouse points to a delivery or recording problem to fix.

  • Track mismatch by cause label.
  • Watch the average days to record a receipt.
Questions

Frequently asked questions

Quick answers to what people ask most about quantity variance.

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What is quantity variance?

It is the difference between the quantity on an invoice and the quantity ordered or actually received. It can mean over-billing, short delivery or a recording error.

How does the agent handle partial deliveries?

It totals receipts and invoices across the whole PO line, so a partial delivery is compared with what has been billed to date rather than the full order.

Can the agent reject extra units?

It flags them and prepares the case. A buyer or AP team member decides whether to accept, query or reject the extra quantity.

Does it deal with unit of measure differences?

It converts units where conversions are known and flags the rest for a person to confirm, since a wrong conversion misstates the quantity.

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Try quantity variance on your own data

Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.

  • People approve, sign and pay
  • Every action is logged
  • Start with a small sample