Why I Built Parly

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 over the past month because iced season is starting.

I built Parly behind the bar at my own cafe because cafe operations deserve purpose-built tools. Not a POS add-on. Not a repurposed accounting spreadsheet. One tool that reads your Square, works out what you used, and turns your count into a supplier order.

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 answers: what you used, what it cost, and what to order.

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 about 10-15 minutes. A recent full count of 58 items at my own cafe ran in about 8.5 minutes from a phone, work that used to eat far longer on the Google Sheet. If you are moving off a spreadsheet, start counting first and let the numbers build.

Every count change is audit-logged with the old and new values and who made it, so nothing changes quietly. Corrections are allowed when a number is wrong, but they always leave a trail.

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. That link between the register and the shelf is the whole idea, and it is worth reading on its own: connect your Square to your ingredients.

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 primary signal is transaction-based: every sale is multiplied by its recipe to calculate precise ingredient consumption. Waste buffers account for over-portioning, batch dumps, and spoilage. For items without recipes (paper goods, supplies), count-based depletion fills the gap. The result is a forecast grounded in what you actually sell, not averages or guesswork.

Supplier 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. I wrote up how that morning usually goes in the panic-ordering post.

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 30 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. Export any report to PDF or CSV with one click.

Parly Insights

Across every dashboard and report tab, Parly Insights surfaces rules-based recommendations. These are not generic tips. They are specific to your data: "Ethiopian beans usage up 18% this week," "labor cost hit 34% on Tuesday, consider adjusting the afternoon shift," "oat milk projected to run out Friday." The system watches your numbers so you can focus on running the shop.

Projections

Beyond backward-looking reports, Parly projects your revenue, ingredient usage, and labor costs forward by day, week, and month. Trend-adjusted forecasting accounts for growth patterns, seasonal shifts, and day-of-week variation. The result: you can see what next week and next month look like before they happen.

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 the single independent cafe running Square. The primary user is the owner or manager responsible for the count, the ordering, and the costs.

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 a full HR suite. It reads your Square sales, maps them to recipes to see what you used, and turns your count into a supplier order. Along the way it shows recipe costs, forecasts, and staffing, so you order from what you actually used, waste less, and understand your 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 live for independent cafes on Square. Start a free trial and see it on your own numbers. No credit card, and you can cancel anytime.

I am 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 one independent cafe the kind of numbers that used to take a chain with an analytics team. What you used, what it cost, and what to order, read from the Square you already run.