A scrap ERP gets approved in Q4 when finance can see its cost, its payback, and the assumptions behind both on one page. Budget decisions for 2027 are being made now, and a request that arrives without numbers either waits for the next cycle or gets cut in the first round of reductions.
Controllers and CFOs in scrap and recycling have good reason to be skeptical of software spend. Many have watched a system come in, pick up a connector or a spreadsheet to cover a gap, and leave the month-end close as slow as before. The answer to that skepticism is to treat the purchase like any other capital decision: baseline today's cost, estimate the savings in three specific areas, add the full cost of ownership, and show payback with a conservative ramp.
This post walks through that model, using labor savings, settlement accuracy, and reconciliation time as the three levers. If you want background on the category first, our overview of what a scrap ERP is covers the basics.
The baseline is the hardest part of the model and the most persuasive. Scrap operations carry cost in three places that rarely appear on the same report: hours spent re-keying and matching scale tickets, money lost when a settlement is wrong, and finance time spent reconciling the yard's records to the books. Each sits in a different budget line, so no one owns the total.
Collect four numbers before building anything: daily ticket volume, annual material purchases, the loaded hourly cost of the people who touch tickets and settlements, and the hours accounting spends on reconciliation each month. Pull ticket volume from your scale system and purchases from the general ledger. If no one has tracked the hours, a two-week time log will do, because a rough measured number beats a precise guess, and your CFO will ask where each figure came from.
The examples in the rest of this post use an illustrative yard with three locations, 300 tickets a day, 300 operating days a year, and $12 million in annual material purchases. Replace those with your own figures.
Labor savings come from removing re-entry, and the math takes five inputs. When a scale ticket prints in one system and gets typed into another, someone is paid to type, match, and correct errors. Loop ERP is built natively inside NetSuite, so a ticket posts to inventory and the general ledger when it is finalized, with no connector in between and nothing to retype.
Annual labor savings = (tickets per day × minutes handled per ticket ÷ 60) × operating days × loaded hourly rate × share eliminated
In the illustrative yard, 300 tickets at 3 minutes of manual handling each is 15 hours a day, or 4,500 hours a year. At a loaded rate of $34 an hour, that is $153,000 of handling cost today. If 60% of that work goes away, annual savings are $91,800.
Use a reduction lower than what any vendor quotes. Sixty percent leaves room for exceptions, overrides, and tickets that still need someone to review them. Most CFOs also prefer this saving framed as capacity rather than headcount, meaning the same team absorbs growing ticket volume without new hires.
Settlement accuracy is a margin line, and it is the one finance teams tend to believe once they see a sample. A settlement sets what you pay a supplier after final weights, grade adjustments, contamination deductions, freight, and contract pricing are applied. Done by hand, it produces errors in both directions: overpayments nobody catches and underpayments that come back as disputes.
In Loop ERP, a settlement pulls final weights, quality adjustments, pricing, and freight from the inbound ticket, applies scrap-specific pricing logic, and keeps an audit trail back to the ticket, purchase order, and contract. It also supports different weights for receiving and paying, which removes a common source of rework.
Annual recovered margin = annual material purchases × leakage rate × share recovered
For the illustrative yard, $12 million in purchases at a 0.5% leakage rate is $60,000 a year. Recovering half of it is $30,000.
To set the leakage rate, audit 30 to 50 recent settlements against the contract and the final ticket, and total the dollar variance. If you cannot run an audit before the meeting, use a conservative rate and label it an assumption. Each 0.1% of leakage on $12 million is worth $12,000 a year, so expect this to be the input your CFO tests first.
Reconciliation is the work of proving that the yard's records match the books, and it grows with volume. When operations and finance share one data set, there is less to prove, because inventory, settlements, and journal entries trace back to the same ticket instead of three separate files.
Annual reconciliation savings = staff × hours per month × 12 × loaded hourly rate × share reduced
In the illustrative yard, two people spend 30 hours a month each matching ticket data, inventory counts, and settlements to the ledger. That is 720 hours a year, or $36,000 at $50 an hour. A 70% reduction saves $25,200.
Two smaller items belong in the model. The first is retired spend: standalone ticketing software, bolt-on licenses, and the spreadsheets that held the process together. The example uses $12,000 a year. The second is a shorter month-end close, which lets finance report to owners and lenders sooner. That one is hard to price, so list it as a benefit you did not count instead of inventing a figure for it.
A CFO can defend a model they can test, so build it over three years and count every cost. That means the subscription, implementation, data migration, training, and the internal staff time your own team will spend during rollout. Phase the benefits as well: assume half of the run-rate savings in year one while the team learns the system, and the full amount in years two and three.
The cost figures below are placeholders. Replace them with your vendor quote and your own estimate of internal time.
On these assumptions, the project runs $80,500 behind in year one, sits $6,500 short of breakeven at the end of year two, and finishes year three $67,500 ahead. That is about a 20% three-year return on $330,000 of total cost, with payback in roughly 25 months. The result is modest on purpose. It leaves out faster invoicing, working capital released by tighter inventory control, and the cost of a late close, and your CFO can add those once the base case holds.
Before the meeting, stress-test the three inputs that move the answer most. Every 10 points of labor reduction changes annual benefit by $15,300, each 0.1% of settlement leakage changes it by $12,000, and a longer implementation pushes the payback date out month for month.
Open the review with the three-year net benefit, then show the assumptions behind it. A one-page summary works best: the baseline you measured, the three savings levers, total cost, payback, and the sensitivity on the inputs above. Mark each input as measured or assumed, since finance will treat the two differently and trust you more for saying which is which.
Ask for a decision with a date attached. Implementations typically run from a few weeks to a few months depending on complexity, so an approval in Q4 lets the project start early in 2027 and puts the savings inside the new fiscal year. A request that slips to the second quarter pushes every benefit in the model back with it.
If you want a second set of eyes on the numbers, book a consultation with the Loop ERP team. Bring your ticket volume, purchase totals, and close calendar, and we will help you pressure-test the model and show how tickets, settlements, and the ledger work together in one system.
Include the subscription, implementation, data migration, and training, plus the internal staff time your own team will spend during rollout. Add any scale, camera, or device changes your yards need, and ongoing support. Leaving out internal time is the most common gap, and it is the first one a CFO will find.
Sample 30 to 50 recent settlements, compare each to the contract and the final ticket, and total the dollar variance. If that is not possible before the budget meeting, start with a conservative rate such as 0.25% of annual purchases and label it an assumption. Then commit to replacing it with a measured figure after the audit.
Payback depends on your ticket volume, purchase totals, and implementation timeline. The illustrative model in this post reaches payback in roughly 25 months with half of the savings counted in year one. Implementations typically run from a few weeks to a few months depending on complexity, so a faster rollout moves the date earlier.
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