Handbook

The Kitchen vs. The Boardroom:
Why Your Restaurant AI
Needs a Single
Source of Truth

The Danger of Assuming You Are Right

In the era of Artificial Intelligence, assuming the answers to your data queries are accurate is dangerous. The biggest barrier to adopting AI isn't the technology; it's the data trust gap.

Restaurant groups are often a "Tower of Babel." Operations might define "Gross Sales" differently than Finance. Marketing measures "Customer Churn" based on loyalty, while managers use reservations.

"When you feed conflicting definitions into generative AI models, you don't get intelligence. You accelerate bad decisions—like mispricing a menu or understaffing a shift—and scale that chaos across your entire chain."

The Solution

What is the Metrics Governance Engine?

Think of the MGE as the "Central Bank" for your restaurant group's business logic. It sits between your raw data (POS, Labor, Inventory) and the tools you use to consume it.

Govern DefinitionsStandardize Logic
It ensures that when a CFO or an AI bot asks about "Table Turnover Rate," they are all using the exact same definition.

Demystifying "Certified Data" & 0-100 Score

When MGE certifies a metric like RevPASH, it doesn't just check the math. It validates precisely which transaction tables the raw data originates from, the exact calculation logic, and accountability paths.

Governance Score Meaning:

LowA warning label indicating the definition is contested or unclear. Use at your own risk.
100Signifies that the metric is fully standardized, audited, and safe to rely on for automated decisions.

A Confidence Rating For Decision-Makers.

0-100

Why Does This Matter?

In a tight-margin industry, operating on opinions rather than facts is costly. Without governance, AI might advise you to cut labor hours during a peak time because it's using a flawed definition of "peak."

"This MVP allows you to experience the difference between navigating with a broken compass versus steering with certified, trusted intelligence."

Technical Pipeline Lifecycle

STAGE 01

Truth Capture

Immutable ingestion of raw transactional data.

STAGE 02

Semantic Alignment

Normalizing temporal drift and mapping vendor fields.

STAGE 03

Detection Engine

Running pattern audits to identify leakage.

STAGE 04

Action Gating

Trust-based firewall for automated workflows.

STAGE 05

Certification

Audit-grade ledgers for financial booking.

Tier 3 ExtensionRecovery FAQ

How much revenue can my restaurant actually recover from hidden overcharges?

Most operators underestimate leakage. Over 70% of restaurants do not dispute delivery chargebacks, processors rarely optimize rates proactively, and platforms may deduct 3% to 13% in automatic marketing fees. For 3-5 location groups, typical annual recovery often lands around $100,000 to $250,000.

The two largest recovery pools are merchant processing overcharges and delivery platform fee variance. Both require deterministic audit evidence to recover consistently.

Merchant Fee Recovery

Typical recovery: 0.2% to 0.8% of annual card volume from MCC errors, rate optimization, and hidden fee correction.

Delivery Fee Recovery

Typical recovery: 3% to 10% of delivery sales from chargeback disputes, fee audits, and commission variance controls.

Restaurant Profile Comparison

MetricFast CasualCasual Dining
Annual Sales$2,000,000$4,000,000
Delivery Mix50% ($1,000,000)20% ($800,000)
Card Processing Volume$2,000,000$4,000,000
Locations1 location1 location

Combined Annual Recovery

Restaurant TypeMerchant FeeDelivery FeeTotal AnnualMonthly
Fast Casual ($2M sales, 50% delivery)$4,000 - $16,000$30,000 - $100,000$34,000 - $116,000$2,800 - $9,700
Casual Dining ($4M sales, 20% delivery)$8,000 - $32,000$24,000 - $80,000$32,000 - $112,000$2,700 - $9,300

Multi-Location Scaling

LocationsFast Casual ProfileCasual Dining Profile
1 Location$34,000 - $116,000/year$32,000 - $112,000/year
3 Locations$102,000 - $348,000/year$96,000 - $336,000/year
5 Locations$170,000 - $580,000/year$160,000 - $560,000/year
10 Locations$340,000 - $1,160,000/year$320,000 - $1,120,000/year

High-Recovery Playbook

  • Review processor statements monthly instead of quarterly.
  • Dispute at least 80% of eligible chargebacks.
  • Audit delivery platform fee exports weekly.
  • Automate reconciliation and evidence generation.

Key Citations

  • [1] Orders.co / Business Wire (2024): delivery chargeback dispute rates and recovery benchmarks.
  • [2] Popmenu (2026) and CTV News (2025): hidden delivery fee and commission visibility.
  • [3] Host Merchant Services (2025) and Payments Dive: card-fee burden and optimization ranges.

Methodology updated February 2026 and aligned with Tier 3 FAQ assumptions.

Frequently Asked Questions

Is my data secure?

Yes. This MVP does not store actual customer data. All inputs are session-only and cleared on refresh.

What is a Trust Score?

A numerical value (0-100) indicating the integrity and reliability of your operational data streams.

How do I get the full MGE Suite?

Once you complete a MVP run, you can schedule a demo with a FohBoh strategist.