Quick answer: Catering and vending contracts bundle subsidy payments, food cost, machine maintenance, and consumables restocking under a single supplier relationship. Because these get invoiced together and rarely broken out consistently, most FM teams can't actually say what portion of spend is subsidy versus service versus consumables, which means they can't benchmark or negotiate any of it properly.
One supplier, four different cost types
A catering invoice can carry subsidy contributions, raw food cost, staffing, and equipment servicing all in one document. Each of those behaves differently over time and should be reviewed differently, but if they're not classified separately, they get treated as one number that goes up or down for reasons nobody can explain.
Why vending is worse, not better
Vending machines generate low-value, high-frequency transactions that almost never get itemised properly in FM systems. The maintenance callout, the restock fee, and the actual product cost are usually lumped into one line, which makes it nearly impossible to spot a machine that's costing far more to service than it earns in usage.
What separating these categories actually enables
Once subsidy, food cost, staffing, maintenance, and restocking are classified separately, you can finally negotiate each one on its own terms instead of accepting a bundled annual increase because nobody can prove which component actually went up.
Pearstop breaks catering and vending invoices down to this level automatically, so you're negotiating subsidy, food cost, and maintenance as three separate, provable numbers instead of one bundled guess.

Stephanie Wiechers
CEO & Co-founder, Pearstop
Stephanie leads Pearstop's go-to-market and strategic direction. She works directly with procurement and FM leaders across Europe to understand how data quality affects margins, contracts, and AI readiness.
LinkedIn →Further reading
How to build a spend cube with AI
The five steps to building a spend cube, what data you need, what usually goes wrong, and when a consultant is a better choice than an AI classification pipeline.
Read more →ProcurementUNSPSC classification in construction: a practical guide
How construction and engineering teams apply UNSPSC to procurement data, who owns the decisions, how to handle edge cases, and where AI actually fits.
Read more →