Ramp or Brex for a Precision Contract Manufacturer

Raw material purchases are usually predictable in category but unpredictable in timing, since a purchasing manager reorders stock when a job comes in, not on a fixed schedule. This is where Ramp's automated receipt matching earns its keep: a purchasing manager buying from the same three or four suppliers repeatedly benefits most from a platform that learns the vendor and category once and stops asking for manual confirmation on every reorder.

Maintenance, repair and operations purchases, the bearings, belts, lubricants and small parts that keep machines running, tend to get buried under a general supplies category on both platforms unless someone sets up a specific cost code for it. A shop that doesn't separate MRO from raw material spend loses the ability to see when a specific machine is costing more in upkeep than its output justifies, so set that cost code up before you roll out either platform, not after.

Tooling is the category that breaks a standard card limit fastest, since a single carbide tool or fixture replacement can cost more than a month of MRO spend combined. Brex tends to fit better here because its limits scale with a company's cash position rather than a flat cap, which matters if a broken cutter needs replacing same-day to avoid a shift going idle. If tooling emergencies are rare but expensive when they happen, ask both platforms how fast a limit increase can actually be approved.

Start with the day shift purchasing manager only, mapping raw material, MRO and tooling to three separate cost codes from week one. Once that person's transactions are cleanly coded for a full month, extend cards to the second and third shift leads with the same three-category structure, rather than letting each shift invent its own system. A precision shop running three shifts on three different coding habits is exactly how a job-cost report becomes unusable by quarter-end.

A simple order of operations for the rollout:

1. Give the day shift purchasing manager the first card and map raw material, MRO and tooling to three separate cost codes from the first week.
2. Wait until that person's transactions have been coded cleanly for a full month before you extend the program to anyone else.
3. Extend cards to the second and third shift leads using the same three-category structure, so no shift invents its own system.
4. Add outside processing such as heat treating, plating and anodizing as a fourth cost code, so those steps stay in the job-cost picture.

Someone still has to own the exception queue, the purchases that don't fit any of the three standard categories, like a one-off facility repair or a compliance-related calibration service. A general operations manager's median pay runs about $105,770 a year¹, well above what a 40-person shop needs to dedicate to reviewing a handful of exception transactions each month. Hand that review to whoever already manages purchasing or a shift lead instead, and revisit a dedicated hire only once exception volume or dollar amount grows enough to justify it.

Heat treating, plating, anodizing and other outside processing steps are purchases too, usually invoiced by a vendor rather than charged on a card at time of service, but they belong in the same job-cost picture as raw material, MRO and tooling, as a fourth category rather than getting folded into one of the other three. A shop that lumps outside processing into raw material because it's tied to a specific job loses the ability to see when a vendor's turnaround time or pricing is quietly eating into margin on jobs that route through them.

Add a fourth cost code for outside processing from the start, even though most of those purchases arrive as invoices rather than card swipes, so the purchasing manager's card program and the shop's invoice-based payables both roll up into the same per-job total.

Track turnaround time alongside cost for each outside processing vendor, since a plating shop that's cheaper per part but consistently late can cost more in idle machine time than a pricier vendor who turns parts around on schedule. That comparison only works if outside processing spend is broken out on its own, not averaged into a raw material total that hides which vendor is actually driving the delay.