Built for the workflow that defines white-tablecloth and modern American fine dining — multi-course pacing, prix-fixe and tasting-menu engines, wine-bin management, reservation depth, and the table-side service quality your concept lives on.
Average per-cover ticket
Excluding tax and gratuity. Fine-dining US average — varies by market.
Share of revenue from wine
Higher in coastal markets and steakhouse concepts.
Tables turned per service
Lower turn rate than casual; per-cover spend and beverage margin make the math.
Fine-dining service is a choreographed sequence: amuse-bouche, appetiser, intermezzo, main, dessert, mignardises. The kitchen pace and the dining-room pace are tightly coupled; a 90-second mistake at one station throws off four tables. Katalyst is built for that tempo.
Servers fire each course independently per table; KDS shows expediter the global queue with table-by-table progression. The expo paces the room from one screen.
Multi-course set menus with wine pairings handled as a single ticket with course-level firing. Allergen overrides per guest preserved through the meal.
Allergen tags travel with the cover from reservation to expo — the kitchen sees them every course, not just when the appetiser fires.
Handheld terminals tuned for fine-dining workflow — no swiping back through pages while standing at the table. Orders entered with the same dignity as the room.
Wine sales are typically 25–35% of revenue at a fine-dining restaurant — sometimes higher. The POS has to handle the bin-by-bin inventory, sommelier workflow, and reservation integration that the concept depends on.
Track wine by SKU and vintage. When the 2018 Chassagne-Montrachet runs out, it's 86'd on every server's tablet automatically and the sommelier's recommendation list reflows.
Per-bottle yield tracking for by-the-glass programs. Real pour cost vs. theoretical, surfaced as a daily report — typical fine-dining BTG programs lose 8–14% to over-pours that the data exposes.
Reservations sync into the POS so the host's table assignment, the server's seating chart, and the kitchen's pacing all reference the same dataset. No double-booking, no walk-up confusion.
Anniversary, dietary restrictions, preferred server, last meal's wine pairing — guest history follows the reservation. Fine dining is repeat-guest economics; the system supports it.
Fine dining inverts the casual-restaurant unit economics. A casual restaurant maximises throughput — turn the table fast, keep the kitchen busy, hit volume. Fine dining is the opposite: low turn rate, high per-cover spend, beverage as a margin multiplier. A 45-seat fine-dining room serving two seatings per night at $150 average cover with a 30% wine attach produces roughly the same nightly revenue as a 120-seat casual concept turning four times — at significantly higher contribution margin because the kitchen labor and food cost scale with cover count, not menu price.
Wine is where the margin compounds. By-the-glass programs at fine-dining typically run 65–72% beverage margin; bottle service at 60–68%; spirits at 70–80%. A guest who adds a $90 bottle of wine to a $140 cover takes the contribution per-cover from $70 to $130 — nearly doubles the per-cover P&L impact. The wine program isn't ancillary; it's the structural margin engine of the concept.
The operational risk in fine dining isn't volume — it's pacing. A two-hour dinner has to flow through six to ten distinct service moments without breaking. If course three is late, the wine pairings are out of sync, the next reservation can't be seated on time, and the entire room's rhythm tightens. The POS has to give the expediter a single screen view of every table's course progression so the kitchen pace and the dining-room pace stay locked together. The systems that don't surface that data force the expo to choreograph it from memory, which works until the third Saturday of a busy month.
Repeat-guest economics define fine-dining survival. A guest who returns 4 times a year is worth 12–25× more than a one-time visit in lifetime value. Capturing dietary preferences, anniversary dates, last-meal pairings, and preferred server in a guest profile that the system surfaces on every booking is how the concept compounds. The technical implementation matters less than the discipline of using it — but if the technical implementation makes it painful, the discipline never materialises.
Concrete examples of how fine dining operators use Katalyst in the real workflows their concept actually runs on.
Two seatings, 80 covers total. Expediter screen shows all 10 tables with course-by-course progression. Kitchen fires desserts on table 4 as servers clear entrees on table 7. Sommelier sees BTG inventory drop in real time as pairings are poured. No table waits more than 4 minutes for the next course; entire service flows without a single missed pacing cue.
Eight-course tasting menu, four guests at table 12, one with shellfish allergy and one pescatarian. Reservation-captured tags travel with the cover from amuse-bouche to dessert. Each course fires with the allergen overrides preserved; the kitchen sees them on every screen, every course.
Reservation flagged: 4th visit this year, anniversary tonight, prefers natural wines, anniversary cake last time was praline. Host sees flag on arrival; sommelier sees wine preference at the table; pastry sees the cake note in the morning prep brief. None of it requires the team to remember; the system surfaces it from the guest profile automatically.
Most POS vendors quote a bundled processing rate and hope you don't read the statements. Send us yours — we'll show you the line-item difference Katalyst Payments would make on the same volume. No demo required first.
24-hour response · No commitment · Confidential. We work off your real merchant data, not a sales-pitch estimate.
Your last 3 months of merchant statements
Or just your effective rate and monthly volume — we'll work with what you have.
We map the same volume onto Katalyst Payments
Interchange-plus pricing, no bundled markup, no surprise tier shifts.
You see the exact monthly + annual difference
Average client saves $55K+/year. We show you the math before you commit to anything.
Katalyst was built in 2015 by restaurateurs Dan Roland, Cole Dillon, and Scott Bleczinski — operators of a Massachusetts restaurant portfolio worth $15M+. Every feature exists because we needed it in our own dining rooms first.
Read our storySaved per year, on average
Increase in guest count
Increase in revenue
KPIs tracked
Multi-course tasting menus are configured as a single composite item that fires per-course rather than per-line. Wine pairings link to the BTG inventory and decrement bin counts as each pour is rung. The expediter sees the table's progression as one row with course-by-course status, not 8 separate tickets. Allergen substitutions per guest are preserved through every course without re-entry.
Yes. Wine SKUs carry vintage as a distinct attribute, and bin counts are tracked at the SKU+vintage level. When the 2018 of a wine sells out, the 2019 is automatically the active vintage on the list; servers see the change in real time on their tablets. Sommeliers can override at the table when needed. End-of-night wine sales report breaks out BTG vs. bottle by varietal and vintage.
Native two-way integration with Resy, OpenTable, and SevenRooms. Reservations populate into the POS host view automatically with guest profile, dietary tags, anniversary flags, and notes. Walk-ins added in the POS push back to the reservation system to update availability. The host doesn't toggle between two systems; the data lives in both because the systems sync.
Handheld terminals (iPad Mini or Android slate) sized to live in a server's apron pocket. Modifier UI optimised for entry without scrolling — the most common menu items are surfaced first, modifiers are gestural rather than scroll-heavy. Servers can take an entire 4-course order at table-side in under 90 seconds without breaking eye contact for more than 2-second glances at the device. The pattern matches what a notebook-and-pen server already does, just digital.
A 30-minute walkthrough of Katalyst tuned to your concept.
