Quick summary
Manual matching of goods received notes against purchase orders works fine at one outlet, because one person reviews one delivery. Past around ten outlets, the same process breaks down: each site produces its own paperwork in its own format, volume outpaces what finance can review carefully, and the real cost isn't the extra time, it's the discrepancies (short deliveries, price creep, duplicate invoices) that slip through into the payment run. Adding headcount doesn't fix this, since it's still a manual, inconsistent comparison at a larger scale. Automated three-way matching, comparing the purchase order, goods received note and purchase invoice together, is what removes the ceiling on how many outlets a business can run without the checking process breaking down.
For a single restaurant or cafe, matching a goods received note against a purchase order is barely a process. A delivery arrives; someone checks it against what was ordered, and if the numbers match, the invoice is paid. It takes a few minutes and rarely goes wrong.
Run ten outlets, and those few minutes multiply into an operation nobody actually planned for.
At a single site, the process is straightforward enough that most teams don't think of it as a process at all. A delivery arrives, a member of staff checks the items against the purchase order, signs off on a goods received note, and the paperwork eventually makes its way to finance. If a supplier sends the wrong quantity or the wrong price, someone usually catches it on the spot, because one person is looking at one delivery.
The problem isn't the process itself. It's what happens when the same process runs in parallel across many locations. Each outlet generates its own goods received note, on its own schedule, often in its own format, whether that's a signed paper slip, a photo sent over chat, or an entry in a spreadsheet. Finance ends up receiving a stream of these from every location, all of which need to be checked line by line against the original purchase order and the eventual purchase invoice before anything can be paid.
Staff turnover at the outlet level makes this worse. The person checking a delivery this month may not be the person who checked it last month, and the standard of scrutiny isn't always consistent. Add in peak periods, weekly produce runs, multiple suppliers delivering to multiple sites on the same day, and the volume of matching work outpaces what a small central finance team can carefully review.
Consider a business running twelve outlets, each receiving two or three deliveries a week from a handful of suppliers. That's easily seventy or eighty goods received notes a week arriving at finance in different formats, each one needing to be checked against a purchase order and, eventually, a purchase invoice. No single delivery is complicated on its own. The difficulty is entirely a function of volume and inconsistency across sites, not the complexity of any one transaction.
It's worth being precise about where the pain actually sits, because it's easy to assume the bottleneck is creating purchase orders in the first place, especially for businesses that reorder the same items from the same suppliers every week. In practice, raising the order is rarely what slows a multi-outlet F&B business down. The order itself can often be duplicated from a previous one in minutes. What consumes time and introduces risk is everything that happens after the order is placed, checking what actually arrived against what was ordered, and then checking that against what's being billed, outlet by outlet, delivery by delivery.
It's tempting to frame this purely as an efficiency problem, and it is slower than it should be. But the more serious cost is what slips through. A short delivery that still gets billed in full. A price that's crept above the agreed rate on the purchase order. A duplicate invoice for a delivery that's already been paid. None of this happens because the outlet staff are careless. It happens because manual matching across many outlets simply lacks capacity for careful review, and the errors that slip through go straight into the payment run.
These aren't rare edge cases either. Any business receiving frequent deliveries across several sites, with different suppliers and different staff doing the checking, will have some proportion of goods received notes that don't perfectly reconcile with what was ordered and what was billed. Without automated matching, the only way to catch these is for someone to notice, and at volume, someone eventually doesn't.
The instinctive response is often to add a person to check more paperwork or to have outlets double-check their own deliveries before sending them through. Neither actually solves the underlying issue. It's still a manual comparison of numbers across documents that don't talk to each other, and it still scales linearly with the number of outlets and orders. Twice the outlets means twice the checking, not a smarter way of checking.
There's also a consistency problem that headcount alone doesn't fix. Two people checking the same type of delivery will apply slightly different thresholds for what counts as close enough to approve, particularly under time pressure at month-end. A system that applies the same matching logic every time removes that variability entirely, regardless of who's on shift or how busy the week has been.
This is the problem procure-to-pay platforms like Summit are built to solve. Instead of a person comparing a purchase order, a goods received note and a purchase invoice by hand, Summit runs that comparison automatically, across every outlet, the moment all three documents are in the system. If the price is higher than agreed, the quantity billed doesn't match what was received, or the vendor on the invoice doesn't match the original order, the discrepancy is flagged before payment goes out, not discovered afterwards during a reconciliation.
For a multi-outlet business, that means the checking work doesn't grow with the number of locations. It happens the same way whether there are five outlets or fifty.
Moving from manual matching to automated matching mostly comes down to how your item catalogue, vendors and approval workflow are set up from the start. Book a free demo with us, and we will show you what that looks like for your outlets.
Frequently asked questions
At how many outlets does manual matching become a real risk?
There's no fixed number, but in practice the tipping point tends to arrive once the outlet count and order volume outpace what a central finance team can carefully review by hand, which, for many F&B operators, lands somewhere around 10 outlets.
What's the difference between two-way and three-way matching?
Two-way matching compares the purchase order against the purchase invoice. Three-way matching adds the goods received note, confirming that what was actually delivered matches both the order and the bill, which helps catch short deliveries and overcharging.
Does automated matching replace our existing accounting software?
No. Summit manages the procurement workflow, including purchase orders, goods received notes and matching, and syncs the resulting data with your existing accounting or enterprise resource planning software for final records.
Can Summit handle deliveries that arrive in stages?
Yes. Partial deliveries can be logged against the original purchase order as they arrive, and matching stays accurate as the order is fulfilled over multiple deliveries.
Book a meeting to see how automated matching works across multiple outlets.