PipelinesRestaurant Operations
Retailsoon
Healthcare Clinicssoon
Construction Servicessoon
Dental Clinicssoon
Case StudyAbout
Sign inRequest access

The diagnostic built for the way restaurants actually run.

Plug in any POS, inventory, or staffing data (e.g. Toast, Square, DoorDash). Gnomon analyzes seven sides of your business in parallel, talks to you about what it sees, and shows you exactly where you're losing money and where AI can actually help.

Restaurant workflow diagram
01 — How It Works

Three phases. One clear picture of your restaurant.

The Restaurant Pipeline runs a structured, three-phase diagnostic that combines your raw data, a real conversation with you, and outside benchmarking to produce findings you can actually trust.

Phase A

Ingest & Get to Know You

Your POS, scheduling, inventory, or delivery data gets normalized into a clean, unified picture of your restaurant. While that's happening, Gnomon kicks off an exploratory conversation. No findings yet, just understanding your business in your words.

Runs in parallel · ~minutes
Phase B

Seven Data Specialists Analyze in Parallel

Seven data specialists look at your business from different angles: payments, labor, ops, inventory, delivery, customers, and marketing. At the same time, Gnomon gathers external market intelligence and comes back to you with targeted questions about what it found.

Specialists · Market data · Targeted interview
Phase C

Synthesize & Deliver

Everything (the specialist findings, your interview answers, the market benchmarks) gets merged into one diagnostic report. You see what's wrong, why the data suggests it, and which AI agents we recommend you use to fix it.

One report · Evidence-backed
02 — What We Plug Into

The tools you already use.

You don't switch systems. You don't change anything about how you operate. You just connect the platforms running your restaurant today, and Gnomon takes it from there.

Toast
POS data: sales, transactions, voids, comps, menu mix.
Square
Payments, refunds, tip data, hourly sales patterns.
7shifts
Scheduling, labor hours, role coverage, attendance.
DoorDash
Delivery orders, prep times, error rates, third-party fees.
Plus anything else

These are just the most common stacks we see. Gnomon can ingest data from any system you already use, whether it's a different POS, a custom spreadsheet, your bookkeeping software, or something else entirely. If you have it, we can normalize it.

03 — The Conversation

Data alone doesn't know your restaurant. You do.

Halfway through the analysis, Gnomon comes back to you. Not with a generic survey, but with specific, targeted questions about what it just found. A spike in voids on Tuesday afternoons. An overtime pattern in your kitchen. A drop in repeat customers after July.

You answer in your own words. Gnomon turns those answers into structured findings that get weighted alongside everything the specialists discovered. The result is a diagnostic that reflects both the data and your judgment as the operator.

gnomon.app/interview
Gnomon
We noticed a 14% spike in voids on Tuesday afternoons over the last 6 weeks. Is there a process change or training that started recently?
You
Yeah, new hire on the line. Still learning the modifier system on Toast.
Gnomon
Got it. Is there a manager review step before voids go through right now, or is it on the server's end?
You
Server's end. Probably should change that.
04 — The Seven Data Specialists

Seven angles. Seven data specialists.

Restaurants don't break in one place. They leak across payments, labor, inventory, and delivery, all at once. So Gnomon runs seven data specialists in parallel, each one looking at a different side of your business with deterministic logic first and AI interpretation second.

Payment

Looks at how money moves through your business: transaction patterns, refunds, voids, comps, and processing fees.

Looks for
Refund spikes ·Void anomalies ·Fee leaks
Labor

Cross-references your schedule against actual sales volume to find where you're overstaffed, understaffed, or paying for inefficient coverage.

Looks for
Sales-to-labor ratio ·Overtime ·Shift gaps
Operations

Looks at the rhythm of your restaurant: peak hours, slow periods, throughput, and where the daily flow breaks down.

Looks for
Peak inefficiency ·Throughput gaps ·Daypart drift
Inventory

Connects what you sell to what you stock. Surfaces waste, over-ordering, menu items that don't pull their weight, and items quietly draining margin.

Looks for
Waste signals ·Menu mix ·Margin leaks
Delivery

Audits your third-party delivery economics: prep time, order accuracy, fee structure, and whether DoorDash is actually making you money.

Looks for
True delivery cost ·Prep time drift ·Error rates
Customer

Studies your guest behavior: repeat patterns, ticket sizes, time-of-day preferences, and where loyalty quietly slips through the cracks.

Looks for
Repeat rates ·Avg ticket ·Drop-off signals
Marketing

Looks at how visible your restaurant is, what's working in your channels, and how you compare against neighbors in review sentiment and reach.

Looks for
Review sentiment ·Promo lift ·Visibility gaps
05 — Market Intelligence

Your numbers compared to the restaurants around you.

Internal data only tells half the story. Gnomon pulls in external benchmarks: the competitors on your block, what guests are saying about them, and how your neighborhood is performing.

Sources Google Places · Yelp Fusion · Geo Benchmarks
06 — The Output

Three ways to use what Gnomon finds.

Every diagnostic that comes out of the Restaurant Pipeline ships with three outputs. A static report you can share, a living dashboard you can navigate, and a deep-dive view for when you want to understand exactly why a finding is on the list.

01

Diagnostic PDF Report

A polished, shareable PDF summarizing every finding, opportunity, and confidence score. Send it to your accountant, your partner, your investors, or hold onto it as a record of where your restaurant stood.

02

Live Dashboard

Your key takeaways, top bottlenecks, and prioritized AI opportunities, all in one view. Built for the operator who wants the headline answer first and the details when they need them.

03

Click-In Deep Dive

Click any finding to see the full story behind it: the data points that triggered it, the specialist reasoning, your interview answers, and the recommended AI agents to address it.