Do I need to integrate with the point-of-sale system?

Not in version one, and chasing POS integrations first is how this build stalls. Most systems export a product-mix report as CSV, and importing that file gets you a real variance number without negotiating API access with a vendor. Add direct integrations once you have paying venues asking for a specific system by name.

Is weighing bottles actually better than counting tenths?

It is more accurate and slower, which is why bars disagree about it. Weighing removes the eyeball error that makes variance reports arguable; counting tenths gets a two-hundred-bottle bar done in half the time. Support both and let the bar decide per product — weigh the expensive spirits where the money is, eyeball the rail.

How to Build a Bar Inventory App with AI (2026)

What a bar inventory app needs

Count by tenths or by bottle weight, whichever the bar already uses
Counting in shelf order so nobody walks the bar twice
Par levels per product with an order sheet generated from the gap
Pour cost per drink from recipe and current bottle cost
Variance report: expected depletion from sales versus counted depletion

The screens

Screen	What it does
Count	Active count in shelf order, one product per row, running progress
Products	Bottles with size, cost, par level, and storage area
Order	Suggested order from par minus on-hand, grouped by supplier
Recipes	Drinks with pours per ingredient and calculated pour cost
Variance	Counted versus expected depletion per product, worst offenders first

The data model

Product: name, category, supplierId, bottleSizeMl, emptyWeightG, caseCost, unitCost, parLevel, areaId, sortOrder
Area: name, sortOrder
CountSession: startedAt, completedAt, countedBy, status
CountLine: countSessionId, productId, fullBottles, partialMeasure, measureKind
Recipe: drinkName, menuPrice
RecipeLine: recipeId, productId, pourMl
SalesImport: periodStart, periodEnd, drinkName, quantitySold

The build prompt (copy this)

Paste this into ShipNative and it becomes a working React Native app with these screens, navigable in a live preview, in about two minutes:

“A bar inventory app for a single bar. Count is the screen that decides whether the app is used: products appear in the order they physically sit in the bar, grouped by area — well, back bar, walk-in, store room — one row each, with a big numeric field for full bottles and a second input for the partial. Support two ways of measuring a partial because bars are split on this: tenths of a bottle by eye, or grams on a scale with the empty bottle weight subtracted automatically. Never make the counter choose a product from a search field; the list is the route they walk. Show progress so two people can split the bar and know when they are done. Products hold bottle size, empty weight, case and unit cost, par level, supplier, and which area they live in. Order generates a purchase list from par minus counted on-hand, grouped by supplier, and is shareable as text so it can be sent to a rep. Recipes define drinks as pours per product with a menu price, which gives pour cost per drink and flags anything priced below target margin. Variance is the payoff: import or enter quantities sold per drink for the period, multiply through the recipes to get expected depletion, compare against the difference between two counts, and list the worst offenders first in both bottles and money. Be plain in the copy that variance has mundane explanations — over-pouring, spillage, comped drinks, miscounts — before it has dishonest ones. Works offline in a walk-in with no signal. Screens: Count, Products, Order, Recipes, Variance.”

Then iterate with small, screen-specific prompts (“make the primary button bigger”, “add an empty state”), preview on your own phone, and export the full Expo project whenever you want. The full method: how to build an app with AI.

How it makes money

Roughly $50–100/month per venue, sold against a variance number: a bar doing $40k a month in liquor with 15% variance is losing real money, and the app that shows them the figure has earned the fee. Keep counting unlimited and free-tier friendly during a trial — the value only appears after the second count, so a trial shorter than two count cycles will convert badly.

Implementation and the revenue math for every model: how to make money from an app. When you’re ready to ship: App Store and Google Play publishing guides.

Build it now

The prompt above is free to run at shipnative.dev — working bar inventory app on your phone today, full code export, no credit card.

How to Build a Bar Inventory App with AI