Open Pantry Blog

An AI restaurant manager is back-of-house software that reads your supplier orders, invoices, stock counts and POS sales, shows where money leaked and drafts the fix for a person to approve. Here's what it does in a normal week, the data it needs, and what it should never do on its own.

To reduce food waste in restaurants, log every discard with a dollar value and a reason, order perishables to a forecast rather than a fixed par, and prep to the covers you expect. Waste then becomes a weekly dollar line you can sort, fix item by item and watch fall.

Actual food cost runs higher than your recipes because recipes count only what should have been used, while actual cost counts everything that left the shelves: unrecorded price rises, waste, heavy portions, poor yields, count errors, transfers and comps. Calculate both over the same dates, then check item by item.

Restaurants stop losing money on short deliveries by checking each delivery against the order at the door, matching the invoice to what actually arrived before paying, and sending a supplier credit request the same day with evidence. Then track every request until the credit note appears on the statement.

Catch supplier price increases by comparing the price per unit on every invoice line with the price you last paid, converting pack sizes so you compare like with like, and costing the weekly impact on each dish. Then decide whether to reprice, swap, re-spec or negotiate, and update the recipe card.

Order what you expect to use before the next delivery, plus a small buffer, minus what is on hand and already on order, rounded up to the pack size. Par levels suit steady staples; forecast ordering suits perishables, functions and seasonal swings. Here is the formula, a worked example and how to split your list.

Bookings and functions should reshape orders and prep before the week starts. Take sales history for a normal day, scale it to booked covers plus your usual walk-in rate, then plan each confirmed function from its menu and guest numbers, on its own order and prep timeline back from service.

A faster restaurant stocktake comes from better count sheets, not faster counters: list lines in shelf order, count mixed units on one line, count high-value lines weekly and everything monthly. Blind counts and recounting only the outliers keep the number accurate while cutting the time it takes.

In a bar stocktake, count each product on one line in whatever units you see: cartons, inners, single bottles and open bottles in tenths. Store the conversions on the product, compare what you used with what the till sold, and you get pour cost per drink and a list of drinks earning below target.

A restaurant GP drop almost always comes from supplier price rises, a shift in sales mix, waste, poor yield or a count error. Split the drop into dollars for each cause until they add up to the total, then fix the biggest one you can act on this week. Here's how, with a worked example.

Most restaurant inventory software can work with your POS, because every POS records what was sold item by item. Sales arrive through a direct integration or a daily sales report, and the real work is matching each POS item and modifier to a recipe so sales turn into ingredient usage.

No, your suppliers do not need to join the same platform for you to order online. A good restaurant ordering platform emails a clear purchase order to any supplier, reads invoices you forward or photograph, and adds live prices and catalogues only where a supplier happens to be connected.

Stop over-ordering by deciding who can order what, setting a dollar limit above which an order needs a manager's approval, and giving each venue a weekly budget tied to forecast sales. Let routine orders go straight through and flag only the unusual ones, so approvals never hold up service.

AI ordering is safe for a restaurant when the AI drafts the order and a person approves it before anything reaches a supplier. Look for a reason and a confidence level on every line, spend limits, role permissions and a log you can undo, and run it beside your own ordering first.

Compare each venue against its own target and menu, not against the other venues' raw food cost %. Use a short weekly list (food cost vs target, GP dollars, variance, waste and labour %) on the same cut-off, then compare the same dish's plate cost across venues to find where money leaks.

A restaurant stops typing supplier invoices by capturing them: forward the email or photograph the docket, let software read every line, and check only what doesn't match the order and delivery. Approved bills then go to Xero, MYOB or QuickBooks as drafts, so nobody keys the same invoice twice.

Plan an afternoon for the basics of restaurant inventory software setup, about a week plus a stocktake before food-cost numbers mean anything, and a few more weeks to add recipes, top sellers first. Setups that drag on for months usually stall on typing products, pack sizes and recipes by hand.

Write a prep list from forecast sales: estimate portions per dish, break them into components, subtract what is already prepped and still good, round up to batch sizes, then split the list by station and time. Functions get their own timeline worked back from service, so they never crowd out daily prep.

A restaurant manager should check five numbers every morning: yesterday's sales against a normal day, deliveries and credits outstanding, price rises on yesterday's invoices, waste and low stock, and orders waiting for approval, plus any GP warnings. Food cost %, labour % and GP per dish belong in the weekly review.

For most single venues, restaurant management software cost is easy to justify if it moves food cost by a fraction of a point. On $900,000 of food sales, one point is $9,000 a year, so a $2,400 subscription pays for itself at roughly 0.3 points. Here's the maths and when it isn't worth it.