Introducing Parly: Operational Intelligence Built for Cafes

Spreadsheets were not built for this

Walk into most cafes and ask how they track inventory. The answer is almost always a spreadsheet. Sometimes it is a Google Sheet shared between three people. Sometimes it is a printed template filled in by hand. Sometimes it is nothing at all.

Spreadsheets work until they do not. They cannot tell you what you sold today and how that affects tomorrow's stock. They cannot remind you about a supplier cutoff at 10:50 AM. They cannot calculate that your oat milk consumption has increased 15% over the past month because iced season is starting.

We built Parly because cafe operations deserve purpose-built tools. Not a POS add-on. Not a repurposed accounting spreadsheet. A single platform that connects inventory, sales, labor, and forecasting.

What Parly does

Parly connects three data sources that cafes already have but do not currently link together: inventory counts, POS sales data, and supplier information. By connecting these, it turns raw numbers into actionable intelligence.

Inventory tracking that takes minutes, not hours

Parly's count flow is built for someone standing in a storage room with a phone. Items are organized by category (beverages, paper goods, chemicals) so you count in the same order you walk through the space. Each count takes 10-15 minutes instead of the 30-45 minutes typical of spreadsheet-based processes.

Every count is immutable and audit-logged. No one can quietly change a number after the fact. If a correction is needed, it is recorded as a new entry with full attribution.

Sales-to-consumption mapping

When Parly syncs with your Square POS, it knows exactly what you sold today. Combined with your recipe database, it calculates how much of each ingredient those sales consumed.

Sold 45 oat milk lattes, 12 oat milk matchas, and 8 iced chais with oat milk? Parly knows that is 780 oz of oat milk consumed, before waste. Add a 12% waste buffer and you get a more realistic 874 oz. Compare that to your current stock and you know exactly when you will run out.

AI-powered demand forecasting

Parly's forecasting engine looks at your sales patterns by day of week, applies recipe consumption rates, factors in waste buffers, and projects when each item will hit its reorder point.

The forecasting uses a hybrid approach: recipe-based predictions set the floor (you will use at least this much based on sales), while count-based depletion rates capture waste and non-sale consumption that recipes cannot see. The higher of the two rates is used, so the forecast never underestimates.

Smart order suggestions

Every morning, Parly generates supplier-specific order suggestions based on projected demand, current stock, delivery schedules, and cutoff times. Each suggestion shows the items, quantities, estimated cost, and reasoning.

These are suggestions, not automated orders. A manager reviews, adjusts quantities if needed, confirms, and places the order through their normal supplier channel. Parly tracks the order through its lifecycle: suggested, confirmed, ordered, delivered.

Supplier cutoff management

Every supplier has different cutoff times, lead times, delivery days, and ordering quirks. Parly tracks all of these and surfaces approaching deadlines with countdown timers. No more missed orders because the 10:50 AM cutoff slipped through a busy morning.

Reports that answer real questions

Parly's reports module is built around the questions cafe owners actually ask:

• What are my true drink costs after modifiers?
• Which hours and days drive the most revenue?
• How much am I spending with each supplier?
• What is my labor cost as a percentage of sales?
• Which items have the highest waste rate?

Over 20 report types cover sales, costs, labor, inventory, and transactions. Every report supports time range comparison so you can see trends week over week or month over month.

Task management

Ordering, counting, restocking, and delivery logging all generate tasks. Parly auto-creates these based on your schedule (count days, supplier cutoffs, pastry deliveries) and assigns them to team members. Priority escalates automatically as deadlines approach.

Who it is for

Parly is built for independent cafes and small chains running Square POS. The primary user is the owner or cafe manager who is responsible for ordering, inventory, and cost management.

Shift leads and baristas get simplified access for counting and task completion. The owner gets full access to reports, settings, recipe management, and team administration.

What it is not

Parly is not a POS replacement. It works alongside Square, not instead of it. It is not an accounting system, a customer loyalty platform, or an employee scheduling tool. It connects sales data, inventory, labor, and forecasting into one platform, helping cafes order smarter, waste less, staff better, and understand their true costs.

Why now

Three trends made this the right time to build Parly:

POS APIs have matured. Square's APIs now expose detailed order data including modifiers, discounts, and financial breakdowns. Five years ago, this data was not accessible to third-party tools.

AI makes forecasting accessible. Demand forecasting used to require data science expertise. Modern AI can interpret patterns, handle edge cases, and provide contextual reasoning that makes forecasts explainable and trustworthy.

Mobile-first is expected. Cafe inventory is managed on phones, in storage rooms, during rushes. A tool that requires a desktop computer misses the primary use case. PWA technology makes it possible to build a fast, installable mobile experience without the overhead of native app development.

Getting started

Parly is currently in early access with a small number of cafes. If you are interested in trying it, visit our website to learn more about the platform and sign up.

We are building this in close collaboration with real cafe operators. Every feature, every workflow, and every design decision is informed by how cafes actually work, not how we imagine they should work.

The goal is simple: give every cafe the operational intelligence that currently only chains with dedicated analytics teams can access. Inventory, sales, labor, and AI forecasting, all in one place.