In most F&B businesses, the path from supplier invoices to food cost insights is long, manual, and error-prone. Invoices come in daily, prices fluctuate, and by the time costs are tallied, owners are reacting to margins instead of managing them. But when that data flow is structured — from invoice capture to cost analysis — the numbers finally start speaking clearly.
Here’s how modern restaurants and cafés in Singapore are using ccMonet to turn supplier invoices into daily, actionable food cost intelligence.
Supplier invoices are the raw material of food cost management, but most arrive as PDFs, photos, or printed slips.
With ccMonet, these documents become usable data automatically:
The result: every purchase, from every vendor, is captured and standardised the same day it happens.
Once invoices are digitised and categorised, ccMonet’s AI Insights automatically links them to your sales and inventory data to calculate:
Owners can now see — in numbers — whether rising chicken prices or portion changes are impacting food cost percentage.
Because data flows continuously, ccMonet flags any unusual trends automatically:
This turns your invoice data into an early-warning system for profitability — before problems show up in the month-end report.
For multi-outlet restaurants, standardisation is key.
ccMonet ensures every outlet uses the same cost structure, so HQ can compare food cost performance easily:
With data unified across outlets, comparisons become fair, fast, and actionable.
The best part? None of this requires extra headcount or spreadsheet work.
AI handles invoice capture, categorisation, and reconciliation.
Owners and finance teams simply log in, review flagged items, and make decisions — not data entries.
Every supplier invoice contains insight — if it’s structured correctly.
With ccMonet, F&B businesses turn those daily documents into live cost intelligence: fast, consistent, and always accurate.
Know your real food cost. Protect your margin. Let your data talk.
Visit ccMonet to see how AI makes every invoice count toward smarter F&B decisions.