Your bar is leaking $60,000 a year. You just can't see it. The average bar loses 23% of liquor inventory before it ever rings up. Over-pours, free pours, miscounts, theft — your POS doesn't track what got poured, only what got rung up. Jigger finds the leak in 30 days. Your bar is leaking $60,000 a year. You just can't see it. The average bar loses 23% of liquor inventory before it ever rings up. Over-pours, free pours, miscounts, theft — your POS doesn't track what got poured, only what got rung up. Jigger finds the leak in 30 days.

Three products, one app, one phone.

Jigger is AI loss detection, live bar inventory, and a bar-intelligence agent grounded in your real data — under one roof. EDI ordering, invoice OCR, and a built-in recipe library. All on the phone you already own, replacing four tools and a Tuesday-morning spreadsheet with one.

AI VISION COUNTS  ·  STATISTICAL ANOMALY DETECTION  ·  9-TOOL CHAT AGENT  ·  EDI 850 ORDERS  ·  INVOICE OCR  ·  RECIPE COST ENGINE

"We're not replacing scales — we're replacing the Tuesday-morning spreadsheet. The phone you already own does the math the bar manager used to do by hand."

Three Layers, One Platform

Inventory, loss detection, and a bar-intelligence agent — under one roof.

Most bars stitch four tools together: an inventory app, an analytics dashboard, supplier portals, and a spreadsheet. We replace all four — and the AI agent on top is what no one else has.

Layer 01 · Capture & Inventory

However the team wants to count, the bottle row stays consistent.

Five capture modes from a slider to a full video walk-by. Optional Bluetooth scale and FLIR thermal for opaque bottles. An AI photo-QA gate rejects bad photos before they hit the vision API. Live oz, par status, calibration, position memory — one ledger, every method.

5 capture modes2 Pro tierPhoto-QA gateDigital twinLive ozPar alerts
Layer 02 · Loss Detection

Two flagging engines, attribution, and an annualized loss number.

A static threshold catches obvious leaks. A z-score model catches the quiet ones — bottles drifting two standard deviations off their own 30-day baseline. Per-bartender heatmaps attribute variance pro-rata by pour share. Competing-brand insights surface within-category anomalies. Every flag traces back to evidence, not vibes.

Variance flagsZ-score anomaliesBartender heatmapWithin-category spreadAnnualized projection
Layer 03 · Bar Intelligence Agent

A tool-calling AI grounded in the live data.

Ask in plain English. The agent calls nine live data tools, returns clean answers with inline tables, and suggests three follow-ups so the next question is one tap away.

9 live toolsInline tablesSuggested follow-ups~$0.01 / question
The Capture Stack

Five modes that always work. Two Pro modes that win the hard bottles.

Mix and match per bottle. The system reconciles whichever method any teammate uses. An AI photo-QA gate pre-screens every image — if a photo's too dark or too blurry, you get told to reshoot before the API ever sees it.

Mode 01 · Manual

Slider

Tap-and-drag a digital level down the bottle. No AI. Always works, even with no signal.

Accuracy: 60–75%

Use when wifi is dead or bottle is unreadable
Mode 02 · Photo

Single bottle photo

One bottle, one tap. AI estimates the fluid line, label-aware. Best for spot-checks on high-pour bottles.

Accuracy: 88–94% (clear glass)

Use for nightly spot-checks on hero brands
Mode 03 · Shelf Scan

Whole-shelf snapshot

One wide photo. The vision pipeline segments and reads each bottle in parallel.

Accuracy: 85–92% (clear glass)

Use to close out a single shelf in 12 seconds
Mode 04 · Video Walk-by

10–15 second pan

Walk slowly with the camera rolling. The pipeline extracts six keyframes per bottle and merges them with confidence-weighted best-of selection.

Accuracy: 92–96% (clear glass)

Use for full weekly inventory in 8 minutes
Mode 05 · Multi-Photo

1–6 deliberate stills

Higher resolution and HDR than video, with re-shoot prompts driven by per-shot QA. Same merge pipeline as video walk-by, but each frame is intentional.

Accuracy: 93–97% (clear glass)

Use when lighting is rough but you have a moment
Mode 06 · Bluetooth Scale

Web-Bluetooth scale

For dark amber, foil-wrapped, or velvet-bagged bottles where vision can't see in. Drop-on, drop-off — no permanent hardware. Manual fallback when paired devices time out.

Accuracy: ~99% (any bottle)

Pro tier · optional
Mode 07 · FLIR Thermal

Thermal imaging

A phone-attached thermal camera reads the temperature gradient through opaque glass. Wraps up the catalog of bottles vision can't solve.

Accuracy: 94–98% (any bottle)

Pro tier · optional
Bonus · Photo-QA Gate

Brightness + contrast pre-check

Every photo passes through a local quality check first. Garbage photos get rejected with a "reshoot — too dark" prompt before the vision API charges a token.

Saves: bad inferences + API spend

Standard on every tier
Tap pattern

One thumb, three taps

Open · capture · confirm. Every mode lands at the same review screen showing oz, confidence, and a re-shoot button. Bartenders learn it in one shift.

Median learning curve: ~6 minutes

Same UX every mode
Live Inventory + Digital Twin

One ledger. Always current. Trained to your back-bar.

Counts feed the operating layer. The operating layer feeds everything else — par alerts, reorder forecasts, the chat agent, the manager dashboard.

Live oz math

Last count, minus pours since.

Every bottle's live oz is computed continuously: the most recent counted level, minus POS-recorded pours since that count. Recipes that share an ingredient bottle decrement the same row. Par-status updates in real time.

# every bottle, every minute live_oz = last_counted_oz sum(pos_pours since last_count) par_status = ok / low / critical
Filter chips

Surface what matters now.

One-tap filters: All, Below Par, Critical, Most Poured. The bartender on close sees the right list in two seconds. Quick Audit lets a manager type-in a count without opening a session.

Color-coded by par status — green / amber / red — so the floor reads it across a noisy bar.

Calibration · Digital Twin

The bar learns your bottles.

Every shelf bottle stores reference photos, an empty-bottle weight, and a position vector. After three or more confirmed scans the bottle is marked trained — vision accuracy tightens, and the system can detect when something's been moved or substituted. Position memory means the next walk-by knows what should be where.

What "trained" means in plain English
After three good counts, the platform has enough reference imagery to recognize that bottle's label, glass color, fluid behavior, and shelf position. Subsequent reads use that signature. If the bottle gets swapped for a different label, or moved to a different shelf, the system flags it. This is the same idea as a face-ID model — but for your back-bar.
Loss Detection Deep-Dive

Two flagging engines. One attribution model. Honest annualized math.

The dollar threshold catches the obvious. The statistical model catches the quiet drift. Bartender attribution gets you from "something's wrong" to "it's happening on these shifts."

Flag engine 01 · Variance

The blunt instrument.

Counted ounces minus POS pours, valued at retail per-oz. Flag if the gap exceeds $20 or 4 oz on any bottle, any night. Catches obvious shrink, theft, and over-pours. Easy to explain to a GM in 30 seconds.

Flag engine 02 · Statistical anomaly

The smarter signal.

Each bottle has its own 30-day rolling mean and standard deviation. If tonight's variance lands more than above that bottle's normal noise floor, it's flagged as an anomaly even when the dollar threshold doesn't trigger. Catches the slow leaks that hide inside the noise.

Brand Counted POS pours Variance Variance $ Z-score
Patrón Silver 28.1 oz 21.1 oz +7.00 oz $76.78 +3.4 FLAGGED
Tito's Handmade Vodka 32.7 oz 27.1 oz +5.60 oz $36.47 +2.7 FLAGGED
Casamigos Reposado 14.2 oz 12.0 oz +2.20 oz $18.90 +2.3 ANOMALY
Maker's Mark 17.0 oz 16.7 oz +0.34 oz $3.06 +0.3
Hendrick's Gin 6.9 oz 5.9 oz +0.96 oz $9.60 +0.8
Bacardi Superior 9.7 oz 9.0 oz +0.71 oz $4.26 +0.4
Nightly variance · $149.07 · 2 flagged · 1 anomaly Annualized: ~$54,400 / year
Bartender heatmap

Attribution, pro-rata.

Variance is attributed to each bartender by share of pours during the count window. Three shifts on Patrón, three shifts of attribution. The heatmap surfaces who's consistently associated with flagged bottles — without making accusations.

Competing-brand insights

Within-category spreads.

The system auto-detects when one brand inside a category — say, two well tequilas — drifts further than its peers. Catches substitution, mis-rings, and "we ran out of X so we poured Y" without a manager noticing.

Bar Intelligence Agent

An AI analyst that calls live data.

Nine read-only tools wired into the live ledger. Multi-turn. Grounded — it never invents a number, because every claim traces back to a tool call.

BAR INTELLIGENCE · LIVE LEDGER · 9 TOOLS ~$0.01 / question · ~$1 / day at heavy use

Why is Patrón flagged tonight?

Patrón Silver counted at 28.1 oz consumed against 21.1 oz of POS pours — a 7.0 oz gap ($76.78), which is +3.4σ above its 30-day baseline. Two of three bartenders on tonight share its pour log; the heatmap attributes $48 to the 8pm–close shift. Suggested: pull the POS journal for that shift and compare to the camera if you have one over the well.

get_varianceget_anomaliesget_bartendersget_pours

What should I reorder by Friday?

Three bottles will hit critical par before Friday close at current 30-day burn rate, day-of-week adjusted: Tito's (1.2 days), Patrón Silver (2.4 days), Casamigos Reposado (3.1 days). Combined PO drafted at $487 across two suppliers. Want me to pre-fill the order modal?

get_inventoryget_ordersget_summary

Compare bartenders on tequila pours.

Bartender A · 142 tequila pours · $0.08 variance per pour · clean. Bartender B · 96 pours · $0.31 variance per pour · within tolerance. Bartender C · 78 pours · $0.84 variance per pour · flagged on Patrón and Casamigos. C's nights also see the highest within-category drift — Patrón shows 18% more variance vs Casamigos than the other two bartenders' shifts.

get_bartendersget_varianceget_pours

Generate today's brief.

Tonight: $149 variance, 2 flagged, 1 anomaly. Three below par. Patrón needs reorder. Bartender C's shifts are running 4× the pour-variance of A's. Annualized burn at this rate: $54,400 / year. Top action: review the 8pm–close POS journal for tequila rings.

get_summaryget_anomaliesget_bartenders

Find me a margin-friendly tequila cocktail to feature.

Three options ranked by margin against current pour costs: Paloma (78% margin, $11 menu, $2.42 cost), Margarita Classic (74%), Tequila Sour (71%). Paloma also uses Patrón economically (1.5 oz vs Margarita's 2 oz) — featuring it might pull volume off the shift where Patrón is bleeding.

get_recipessearchget_inventory

Has any open order not been received yet?

One open order from Tuesday: SUP-RNDC-1042, $1,284 across 18 line items, 2 days overdue. No invoice OCR record. Suggest calling the supplier or marking as a discrepancy.

get_orderssearch

The nine tools the agent can call.

get_inventory
Live oz, par status, position, training state per bottle.
get_variance
Per-bottle variance over any window. Dollar + ounce + retail.
get_anomalies
Z-score outliers vs each bottle's 30-day rolling baseline.
get_bartenders
Per-bartender pour share, attributed variance, heatmap data.
get_pours
Raw POS pour log, filterable by bottle / shift / window.
get_orders
Open and historical purchase orders with status + receiving notes.
get_recipes
Recipes, ingredient bottles, pour cost, margin.
search
Full-text across bottles, suppliers, recipes, invoices.
get_summary
Daily / weekly / shift roll-ups for briefs and reports.
How the grounding works (plain English)
The agent never makes up numbers. When you ask a question, it picks the right tools, calls them against the live database, and writes its answer from what came back. Every claim it makes is traceable to a tool call shown in the response. If a tool returns nothing, the agent says it doesn't know.
Recipe Library · Cost Engine

30 cocktails seeded. Margin auto-calculated. Recipe-level variance possible.

Every bar starts with 30 recipes — the classics, Texas signatures, and shots — fully linked to your inventory bottles. Pour cost and margin compute from your real pricing. Because recipes link to bottles, variance can be computed per recipe, not just per bottle.

SIGNATURE · TEXAS
Ranch Water
  • Tequila Blanco1.5 oz · $1.78
  • Lime juice (fresh)0.5 oz · $0.18
  • Topo Chicotop · $0.85
  • Lime wedgegarnish · $0.10

Build over ice in a tall glass. Squeeze fresh lime, drop the wedge in, top with Topo Chico. Stir gently once. Glass: highball. Ice: cubed.

Pour cost · $2.91Margin · 76% @ $12
CLASSIC
Old Fashioned
  • Bourbon2 oz · $1.62
  • Demerara syrup0.25 oz · $0.08
  • Angostura bitters2 dash · $0.06
  • Orange peelgarnish · $0.12

Add syrup and bitters to a rocks glass. Add bourbon and one large cube. Stir 20 seconds. Express orange peel oils over the surface, drop in. Glass: rocks. Ice: 1 large cube.

Pour cost · $1.88Margin · 81% @ $14
CLASSIC
Paloma
  • Tequila Reposado1.5 oz · $2.10
  • Lime juice0.5 oz · $0.18
  • Grapefruit sodatop · $0.65
  • Salt rim· $0.05

Salt half the rim. Build over ice in a highball. Add tequila and lime juice, top with grapefruit soda. Stir gently. Glass: highball. Ice: cubed.

Pour cost · $2.98Margin · 78% @ $13
CLASSIC
Margarita Classic
  • Tequila Blanco2 oz · $2.36
  • Cointreau0.75 oz · $0.96
  • Lime juice1 oz · $0.36
  • Salt rim · lime· $0.18

Salt half the rim. Add tequila, Cointreau, lime to a shaker with ice. Shake hard 12 seconds. Strain over fresh ice in a rocks glass. Glass: rocks. Ice: cubed.

Pour cost · $3.86Margin · 74% @ $15
Why recipe-level variance matters
Bottle-level variance tells you a bottle's leaking. Recipe-level variance tells you which drink is leaking it. If Margaritas show $40 of variance on a Friday but Palomas show $5, you know where to look — pour technique, jigger discipline, or the well bottle behind the bar. Most platforms only do bottle-level. Because we link every recipe ingredient to a bottle row, both views are available.
Supplier Ordering · Real EDI

Real X12 850 documents. Four dispatch methods. Predictive quantities.

Most "ordering" features generate an email with a CSV attached. We generate a real EDI 850 v4010 Purchase Order document — the same X12 format the big distributors actually accept — and dispatch it however the supplier needs.

Method 01

EDI 850 v4010

Real X12 documents uploaded to supplier endpoints. The format big distributors actually accept.

Method 02

Email

Pre-filled HTML order with mailto fallback. Works with any supplier on email.

Method 03

Webhook POST

JSON payload to a supplier's webhook URL. For partners with their own API.

Method 04

Portal link

Deep-link into the supplier's portal with the order pre-staged in the clipboard.

Multi-supplier reorder modal

Bottles auto-grouped by preferred supplier.

Click "Reorder Below Par." The modal opens with bottles already split into one PO per supplier, each prefilled with quantities. Approve each PO independently. Multi-line bottles route to whichever supplier holds the contract.

Predictive ordering

30-day burn × day-of-week weighting.

The forecast uses your 30-day rolling consumption with day-of-week weighting (Saturdays don't pour like Tuesdays). Order quantities are pre-filled to cover the next seven days plus a configurable safety buffer. Override any line manually.

Snippet of a real EDI 850 the system generates.

ISA*00* *00* *14*8801234567890 *14*8809876543210 *250428*1430*U*00401*000000123*0*P*>~ GS*PO*8801234567*8809876543*20260428*1430*123*X*004010~ ST*850*0001~ BEG*00*SA*PO-2026-0428-001**20260428~ N1*SU*Acme Spirits Distribution~ PO1*1*6*EA*23.50**UP*083664871126~ PO1*2*4*EA*31.20**UP*081251710132~ PO1*3*12*EA*15.75**UP*085000017044~ CTT*3~ SE*8*0001~ GE*1*123~ IEA*1*000000123~

UPCs, costs, supplier IDs all real-format. The supplier's EDI translator parses this exactly the way it parses orders from any other licensed system.

Receiving · Invoice OCR

Snap the invoice when the truck arrives. The system does the rest.

The bartender on the dock takes one photo of the supplier's paper invoice. AI extracts the line items, fuzzy-matches them to the open PO, and surfaces any discrepancies for one-tap review.

The workflow

Photo · extract · match · adjust.

1. Snap the invoice. 2. AI extracts supplier name, invoice number, line items, quantities, and prices. 3. The system fuzzy-matches each line to the open PO. 4. Discrepancies surface in a review pane. 5. Approve received quantities — inventory recomputes immediately.

5 discrepancy types

Every variance the supplier can throw at you.

qty_short · supplier delivered fewer than ordered.
qty_over · supplier delivered more than ordered.
price_changed · supplier's invoice price differs from the PO price.
substituted · supplier swapped one SKU for another.
missing · line was on the PO but isn't on the invoice.

How accurate is the OCR on real invoices?
On printed supplier invoices in adequate light, line-item extraction averages 92–96% accuracy out of the box. On crumpled, hand-stamped, or carbon-copied invoices, expect more like 85–90%. Every extracted line is reviewable before commit — nothing gets posted to inventory without a human tap. The fuzzy-match against the open PO catches most OCR errors automatically (the amount may misread, but the SKU snaps to the right line).
Reports · Manager Dashboard

Auto-generated. Surfaced where managers already are.

Reports fire automatically off the close session. They live in a dedicated tab inside the bar app, and they also surface as a widget on the Manager Dashboard at admin.conciergepilot.co — the same place every other Concierge Pilot product reports into.

Auto · shift_close

Fires after every close session.

Every bottle counted tonight, every variance, every flag, every anomaly, attributed by bartender. Lands as a markdown report in the Reports tab and as a notification on the manager dashboard.

On-demand · daily_brief

Ask the chat agent.

"Generate today's brief" returns a shaped 4-paragraph summary: variance, flagged, top action, annualized burn. Save it, share it, paste it into Slack — or read it in 20 seconds.

Manager Dashboard widget

The nightly stat-strip.

One row across the top of the dashboard: tonight's variance · flagged count · below par · open orders · top three variance bottles. The same data the chat agent uses, formatted for a glance.

Alerts · PWA · Mobile-Native

In-app + Slack. Installable on every device the bar already owns.

Alerts

Three triggers. Rate-limited so they're useful.

Critical par · a bottle hits zero or below safety threshold.
Statistical anomaly · a bottle clears the z-score threshold.
Order sent · a PO has been dispatched to a supplier.

Rate-limited to one alert per kind+bottle every 30 minutes. Slack via webhook. In-app for the manager dashboard. No alert spam at close.

PWA · Mobile-Native

Installs to the home screen. Service worker shell-cached.

Install on iPad, iPhone, or any Android device. The shell loads from cache for instant open, then sync's the live ledger. Works on the bar's existing devices — no new hardware to buy, no MDM rollout, no IT ticket. The web app is the app.

Honest Accuracy

What to expect, by capture mode and bottle type.

We do not claim 100% accuracy and we never will. Calibration improves results after roughly two weeks of real use. Optional Pro tier hardware overrides phone-only modes on opaque bottles.

Capture method Clear-glass Tinted glass Dark amber Foil / velvet
Manual slider60–75%60–75%60–75%60–75%
Single photo + AI88–94%80–88%40–60%~0%
Shelf scan85–92%78–85%40–60%~0%
Video walk-by (6 frames merged)92–96%86–93%50–65%~0%
Multi-photo (HDR)93–97%88–94%52–68%~0%
+ Calibration (after 2 weeks)94–97%90–94%55–70%~0%
+ Bluetooth scale (Pro)overridesoverrides99%99%
+ FLIR thermal (Pro)overridesoverrides94–98%94–98%
Invoice OCR (printed, lit)92–96%92–96%92–96%92–96%
Head-to-head with the category leader

Jigger vs WISK Premium · feature for feature.

WISK is the best-known AI bar inventory product. We compete with their Premium tier — same monthly price, no setup fee, more AI. Every row below was verified against WISK's own help docs, marketing site, G2 reviews, and Capterra reviews.

AI

The AI gap is the entire pitch.

WISK's "AI" is one feature: cost-change alerts. The rest of their stack is barcode + Bluetooth scale + manual tap. Jigger ships 11 distinct AI capabilities on the same monthly price — vision-based level reads, a tool-calling chat agent over live data, statistical anomaly detection, bartender coaching, menu engineering, vendor anomaly alerts, shift forecasting, conversational reorder, AI cocktail invention, photo-to-menu competitor capture, and shelf-diff auto-spotter.

Feature Jigger Pro WISK Premium
AI Intelligence — where the fight is won
AI photo level-reading (multimodal vision) Yes No · scale or manual tap
Multi-photo merge with median across N reads Yes No
Video walk-by (10-15s pan, 6-frame parallel extraction) Yes No
Photo QA gate (auto-rejects bad frames before AI spend) Yes No
Conversational AI dashboard (9-tool live-data agent) Yes No · charts only
Statistical anomaly z-score vs 30-day baseline Yes No
Vendor cost anomaly alerts with renegotiation drafts Yes · with AI draft Alerts only · no draft
AI Menu Engineering (push/kill recommendations) Yes Best/worst seller view only
Shift forecaster (per-shift demand prediction) Yes Day-level marketing claim
AI Bartender Coaching (private per-bartender notes) Yes No
New Bottle Gap Analyzer (category coverage AI) Yes No
Conversational reorder ("draft Republic order under $1500") Yes No
AI Cocktail Inventor (specials from overstocked bottles) Yes No
Photo-to-Menu (snap a competitor's menu, AI extracts cocktails) Yes No
Auto-Spotter (vision diff between two shelf scans) Yes No
Daily Brief auto-generation (morning summary) Yes No
Capture & Calibration
Shelf scan (one wide photo identifies every bottle) Yes No
Bluetooth scale support Yes Yes (BYO scale)
FLIR thermal phone-clip (reads through opaque/dark glass) Yes No
Per-bottle Digital Twin calibration (position memory + training graduation) Yes No
Manual slider fallback Yes Yes
Inventory & Operations
Live oz formula (real-time, no nightly cron) Yes Yes
POS pour subtraction Yes · same database Yes · 60+ POS via API bridge
POS integration depth Native · same DB row Wider · API bridge
Recipe + cocktail costing engine Yes · margin auto Yes
Invoice OCR + supplier-learned mappings Yes · LEARNED/AI/NEW badges Paid add-on
Real EDI 850 ordering (X12 v4010) Yes Limited
Reorder draft modal Yes Yes
Loss Detection
Variance flagging (counted-consumed vs POS) Yes Yes
Bartender heatmap with pro-rata $ attribution by name Yes No · item-level only
Recipe-vs-actual substitution detection Yes No
Annualized loss projection ($/yr if shrinkage continues) Yes No
Competing-brand insights (category gap suggestions) Yes No
Supplier cost trends (90-day) Yes Per-line cost only
TABC regulatory export (Texas alcohol board) Yes No · Canadian-HQ vendor
Roles & Platform
Role gating with $ masking for bartender / viewer Yes Yes
PWA install + offline app shell Yes · iOS + Android Mobile app
Realtime live indicator (Supabase realtime) Yes Yes
Bundled with full restaurant ops platform Yes · Concierge Pilot Tier 3 Standalone only
Cost & Commitment
Monthly subscription$499 / mo$499 / mo
Setup fee$0$1,500
Annual contract requiredNo · month-to-monthLikely · gated
Free trial14 days · no cardDemo only
Year 1 total cost$5,988$7,488
Year 1 savings with Jigger Pro · $1,500 (the entire WISK setup fee)

Sources verified 2026-04-30 against wisk.ai, help.wisk.ai, G2 product page, Capterra reviews, and recent product demos. We update this table when WISK ships new features. If a row is wrong, write hello@conciergepilot.co — we'll verify and correct.


The rest of the field

How the broader market stacks up.

WISK is the AI fight. Here's where everyone else lives.

Jigger Partender Backbar BarVision Sculpture / Bevinco MarginEdge + Freepour
ApproachAI vision + scale + thermalManual tap on photoManual + Bluetooth scaleRFID smart spoutsHumans count weeklySmart-scale platform
AI level readingYesNo · operator tapsNon/a · pour meteringn/aScale-based
Hardware requiredPhone (scale + thermal optional)PhonePhone (scale optional)RFID spout per bottleNone (consultant brings)Smart scale
Install timeSame daySame daySame day3-week installWeekly recurring visitsSame day after scale ships
Annual contractNo14-day trial then m2m or annualNo1-year minimumQuote-basedMonth-to-month default
Setup fee$0$0$0Hardware bundledQuote-basedOnboarding gated
Typical monthly$499$199 annual / $299 monthly$79-$129/mo$250-$300/mo$250 self / $800 full service$500/mo
Pricing

Three tiers. Flat monthly. No per-bottle, no per-pour.

Most bars upgrade to Enterprise inside three months — multi-location and supplier integrations are where the platform earns its keep.

Solo
Solo
$349 / mo

Single-location bar. Up to 100 bottles. AI vision included.

  • All 5 phone-based capture modes
  • Photo-QA gate
  • Live oz, par status, digital twin
  • Variance + statistical anomaly engines
  • Bartender heatmap + competing-brand insights
  • Recipe library (30 seeded) + cost engine
  • Bar Intelligence chat agent (9 tools)
  • Email + webhook ordering
  • Invoice OCR
  • POS pour correlation (one POS)
  • Email support
  • 14-day free trial · no card · no setup fee
Try Solo
Enterprise · Multi-location
Enterprise
Custom · contact

Multi-location operators, hospitality groups, supplier-direct integrations.

  • Everything in Pro
  • Multi-location aggregation dashboard
  • Supplier-direct EDI integrations (RNDC, Southern, RNDC affiliates)
  • Custom POS connectors
  • Cross-location bartender attribution
  • Single sign-on
  • Dedicated account engineer
  • SLA + on-site training
  • Custom dashboards on the Manager Dashboard
  • Audit log export
Contact Sales
FAQ

The questions every bar manager asks.

Direct answers. No fluff.

How does the chat agent actually work?
A reasoning AI with nine read-only tools wired to the live ledger. You ask a question; it picks the right tools, calls them, and writes the answer from real data. Every claim traces back to a tool call shown in the response. If a tool returns nothing, the agent says it doesn't know rather than inventing a number. Cost is around a penny per question — roughly a dollar a day at heavy use.
Is my data sent to OpenAI?
Image inference and chat reasoning use commercial AI providers under their commercial data-use terms — no training on your data. POS pour data, supplier records, pricing, and the live ledger sit in our database. The chat agent only sends the question text plus the JSON results of its tool calls; it does not stream the entire database. If you need fully on-prem inference, that's an Enterprise conversation.
Will this read every bottle perfectly?
No, and we don't claim it. Clear-glass spirits hit 92–96% on a video walk-by, climbing to 94–97% after two weeks of calibration. Dark amber, foil-wrapped, and velvet-bagged bottles top out lower on phone-only modes — that's why the Pro tier ships a Bluetooth scale (~99%) and a thermal camera (94–98%). We're transparent about which bottles need which method.
Do I need to put hardware on every bottle?
No. Standard requires zero hardware beyond the phone the bar already owns. Pro adds a single Bluetooth scale and a phone-attached thermal camera, used only on the bottles where vision struggles. Nothing permanent on any bottle. Nothing your bartenders can break.
What if my supplier doesn't have EDI?
EDI 850 is one of four dispatch methods. If your supplier takes email orders, we send a pre-filled HTML order with a mailto fallback. If they have a webhook, we POST JSON. If they only take orders through their portal, we deep-link with the order pre-staged in the clipboard. Most distributors do accept EDI — but no supplier is left out.
How accurate is the photo OCR for invoices?
On printed supplier invoices in adequate light: 92–96% line-item accuracy. On crumpled, hand-stamped, or carbon-copy invoices: 85–90%. Every extracted line is reviewable before commit — nothing posts to inventory without a human tap. The fuzzy-match against the open PO catches most OCR errors automatically: even if the price misreads, the SKU snaps to the right line.
Does it work offline?
The PWA shell loads from a service worker cache, so the app opens with no signal. Capture inference runs server-side, so a count needs the wifi to round-trip. If wifi drops mid-count, photos queue locally and sync when you're back online. Manual slider mode is fully offline if you absolutely need to count during a power event.
What POS systems do you integrate with?
Toast, Square, Clover, and Lightspeed natively. Other systems: daily CSV export or a custom integration on Enterprise. The variance engine doesn't actually need a real-time POS feed — it works fine off end-of-night pour totals.
What about Crown Royal in the velvet bag?
Take the bag off, or use the scale. Foil and velvet bottles are at ~0% on any vision-based method, including the most expensive smart-camera systems on the market. The scale gets ~99% in three seconds. Thermal will read through velvet but takes a careful angle. We tell you up front which bottles in your catalog will need the scale at onboarding.
How long does onboarding take?
Day 1: import the bottle catalog and POS pour rules. Day 2: guided first count. Week 1: nightly captures, the digital twin starts learning. Week 2: calibration tightens to your bar's lighting, shelves, and bottle mix. The first variance digest typically lands in week 2 — and that's usually when the ROI shows up.
Does the chat agent ever make things up?
It's grounded — it can only respond about data its tool calls return. If you ask about a bartender that doesn't exist, it says it doesn't see that name. If you ask about a date with no records, it says no records. The trade-off: it can't speculate. Ask "what's the variance on Patrón" and you get an exact answer; ask "should I fire someone" and it'll show data, not opinions.
What's the upgrade path to Enterprise?
Enterprise unlocks at the second location, when you need supplier-direct integrations, or when you want custom dashboards on the Manager Dashboard. Multi-location aggregation, cross-location bartender attribution, single sign-on, and dedicated supplier connectors are the four most common drivers.