Every order, brew, keg and payment your brewery records is a number someone will eventually ask for. Breww ships a shelf of reports ready to open, lets you build the ones nobody wrote, and emails them to whoever needs them on a schedule, so the monthly spreadsheet ritual stops.
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Sales totals broken down by customer, parent company, product, container type or price book. Margin by customer and product with beer, packaging and duty costs split out. Packaged beer COGS, sales by sales person, aged debtors, customer balances. The questions you ask every month already have a report behind them, reading live brewery data, so the answer takes a click instead of an afternoon.
The dashboard is permission-aware, so a driver, a brewer and a finance manager each land on the reporting they are allowed to use. No wall of tiles to scroll past to find the one you open every Monday.
Pin the reports you come back to and they sit at the top of the dashboard, so the weekly check is one click rather than a hunt. One search box covers every report name and description across every section, and reports your brewery has built itself sit alongside the built-in ones.
Stock valuation snapshots run on the schedule you set, so finance gets a point-in-time value for closing stock and nobody has to remember to freeze the numbers on the last day of the month. Where your market adds its own obligations, the reports are there too: EPR packaging, container-deposit schemes, and the Tasmanian Freight Equalisation Scheme claim for Australian breweries.
"Since starting with Breww in August 2023, we have seen roughly a 20 to 25% increase in our outside sales category. Breww has made it possible to efficiently grow and project our production goals."
Bring the question your spreadsheet makes hard work of, and we will build the report with you on the call.
Build from sales, production, stock, products, purchasing, customers, CRM, distribution, returns, ullage, cleaning, maintenance, tasks and per-batch costs. Pick raw data when you want the full table and your own columns, then export the lot to Excel.
Pick aggregate instead and you get interactive charts and saved metrics, grouped how you asked, exported as a totalled workbook. It is the pivot table you were going to build by hand, except it reads live Breww records instead of last Tuesday's export.
The visual filter builder lets anyone describe precise conditions with AND/OR groups. Power users can type BrewwQL directly and follow the way brewery records connect. Your custom fields are filterable too, so your own processes stay searchable.
Save a report privately or publish it brewery-wide, and hand the definition to a colleague with a share code so they get their own copy of every field and filter choice. Useful analysis stops living on one laptop with one person who knows how it works.
Save any report, then add a scheduled delivery: pick a run time, run it every day, week or month, and choose the days it should land on. When the timing has to be exact, advanced scheduling takes over. Monday morning sales, month-end stock and the weekly production summary all arrive without a calendar reminder.
It goes to your own address, plus any other email addresses you add: your accountant, a co-founder, the person who keeps asking for last week's numbers. They get the report in their inbox without needing a Breww login or another chase.
Recurring obligations are where manual reporting quietly fails. A scheduled report is one fewer thing depending on someone being at their desk, back from holiday, or still working here.
Trade customers rarely announce they are leaving, they just stop ordering. Breww scores churn risk overnight against each customer's own ordering rhythm and ranks the ones slipping away into a call queue, so your team spends the morning on the accounts they can still save. Scores flow into Klaviyo and Mailchimp too, so win-back emails fire even when nobody picks up the phone.
After 4 confirmed orders, Breww learns each account's gap between orders and predicts the next one, adjusted for seasonality, public holidays and the quiet weeks you tell it about. Sales get an overdue list that is genuinely overdue. Production gets eight weeks of likely demand in a calendar.
Sales forecasting trains a separate model on each packaged product with enough history, then hands you an editable grid so your knowledge beats the model where it should. Save several named forecasts, and score each one against what customers actually bought, so next quarter's plan is informed by measured accuracy rather than memory.
The stock availability forecast rolls packaged stock forward month by month, adding planned packaging runs and scheduled releases and subtracting demand using whichever of 5 assumptions you trust. Breww recalculates a default view overnight, so "will we run out of the Pale?" takes seconds.
The sales, production, stock and distribution reports are already written
Build a report from any data in Breww, raw or charted, without a formula
Saved reports land in the right inboxes on your schedule, including people outside Breww
Churn risk, expected orders and stock shortfalls are recalculated overnight
