Restaurant and Cafe Daily Sales Close-Out Report

At the end of every trading day a manager copies a handful of numbers from the POS report and the till count, then the day is gone. Cash is over or short and nobody can say why, labour and food cost are only known at month end, and there is no record of how Thursday compares with Saturday.

Type the day's covers, gross sales, discounts, comps and voids, payments by type, tips, opening float, cash paid out, counted cash, labour cost and hours, and food cost. Results update as you leave each box: net sales, sales excluding VAT, average check, expected cash and the difference, whether payments add up to net sales, labour percent, food cost percent and prime cost against the targets you set. Save the day. History keeps every day and lets you correct or print it. Trends shows charts, day-of-week averages and the month so far.

What is inside:

• Close a day, History, Trends, Settings and Start here tabs
• One site or several (each day is stored per date and site)
• Your POS figures with or without VAT, with the VAT rate as a setting (UAE standard rate is 5 percent)
• CSV import and export of days, JSON backup, print or save as PDF of the close report
• A worked example: five weeks of a cafe

Who it is for: cafes, restaurants, takeaways and small chains whose manager closes the day by hand.

What it is not: not a POS, not an accounting system and not a VAT return. Labour and food cost are the figures you enter, and a daily food cost needs a stock method of your own, for example opening stock plus purchases minus closing stock. Tips are recorded but not counted as sales.

How it differs: the Retail Shop Daily Cash-Up and Stock-Take Pack in the catalogue is an Excel cash-up for shops. This app is built for restaurants and cafes: covers and average check, labour and food cost percent, payment mix including delivery and online, and the history and trends.

Tested: every derived figure (net and ex-VAT sales, average check, expected cash and difference, labour, food and prime cost percents, day-of-week averages, month totals) was compared with a separate Python implementation on randomised days, 13,834 values, with no differences. 20 scripted browser checks cover closing a day with validation, history edits, CSV import, backup restore, print and the 375 and 1280 pixel layouts, with no console errors. Browser tests ran in Chromium and WebKit; Firefox, a real phone, a real printer and a real scanner were not available, so they were not tested.