Inventory Par Leveler

Turn last week's sales into exact order quantities for every item, enough to hit par ahead of your next delivery, without over-buying product that spoils on the shelf.

For Store Managers Multi-Unit Operators Kitchen Managers Franchisees Watching Food Cost
Sample prompt to Joy's Assistant

Calculate my order quantities for [location] from recent sales: [item usage and on-hand data], and flag the one item I most often get wrong.

What it can look like

An illustrative example. Your output will reflect your own sources, data, and prompts.

Calculate my order quantities for Store #214, Riverside from recent sales: last 7 days, sesame buns avg 14/day, par 60, on hand 22; chicken patties avg 6/day, par 28, on hand 9; fries avg 5/day, par 22, on hand 8; cheese slices avg 3/day, par 12, on hand 5; shredded lettuce avg 4/day, par 14, on hand 3; 16 oz cups avg 9/day, par 40, on hand 30, and flag the one item I most often get wrong.

I've worked out what to order against your par levels using last week's sales and the counts you gave me. The table below brings every item back to par ahead of Thursday's delivery.

Order to par: Store #214, Thursday delivery

Location: Store #214, Riverside
Sales window: last 7 days
Next delivery: Thursday

Based on last week's sales, here's what to order to bring each item back to par ahead of Thursday's delivery. Quantities assume the usual weekend lift.

Every item is sitting below par right now, which is why there is an order at all. The bars show how far each has to climb to get back to target before Thursday.

ItemOn handPar
Buns2260
Patties928
Fries822
Cheese512
Lettuce314
Cups3040
ItemAvg daily usePar levelOn handOrder qty
Sesame buns (dozen)14602238
Chicken patties (case)628919
Fries (case)522814
Cheese slices (case)31257
Shredded lettuce (case)414311
16 oz cups (sleeve)9403010

One item to watch: chicken patties. Over the last month you've run out mid-week more often than on anything else, and this week's on-hand of 9 against a par of 28 is the same pattern setting up again. Order the full 19 cases and resist rounding down. An 86'd sandwich on a Saturday costs you far more than a few extra cases of cover.

Everything else is routine. Cups are close to par, so the order of 10 is really just a top-off, and the buns order of 38 covers the weekend rush without leaving you holding stale product on Monday.

Want me to turn this into a clean order sheet you can paste into your supplier portal, or recheck the par levels on the items that keep running short?

Build the order, step by step

You know roughly how much you sell, but converting that into an order that hits par on every item, without over-buying the perishables, takes math you don't have time for during a shift. So you round up, tie up cash in inventory, and still run short on the items that move fastest.

  1. Bring your numbers

    Paste last week's item-level sales and a quick on-hand count, or point Joy at the sales export in your Knowledge Center. Approximate counts are fine.

  2. Ask for order quantities

    Ask "What should I order to hit par before Thursday?" Joy works out average daily use, compares it to your par levels, and nets out what's already on hand.

  3. Review the order table

    Get a clean table of every item with its average use, par, on-hand, and the exact quantity to order, plus a flag on the item you most often over- or under-order.

  4. Place the order

    Copy the quantities straight into your supplier portal or order sheet. Ask follow-ups to adjust for a promotion, a holiday, or a slow week.

  5. Make it one click for your team

    Save this ask as a custom command on the assistant your team already uses, then customize it with your own par levels and wording, so any manager can run it in one step.

Make it yours

Par-Aware Quantities

Every order quantity nets your par level against what's already on hand, so you top up to target instead of guessing.

Waste Guardrail

Perishables are sized to recent use, so you stop ordering a full case when half of it will spoil before you sell it.

Repeat-Offender Flag

Joy calls out the one item your history says you most often over- or under-order, so the same shortfall stops repeating every week.

Adjust on the Fly

Ask for a promo week, a long weekend, or a slow stretch and Joy rescales the order without you redoing the math.

Promo Week

Scale up the items tied to a limited-time offer while holding everything else at par.

Holiday Cover

Add buffer for a long weekend or a known local event so you don't run short.

Perishables Only

Run a tighter mid-week top-up on just the fresh items that spoil fast.

Multi-Unit Rollup

Build orders for two or three stores at once and compare usage across them.

Frequently Asked Questions

How do I calculate order quantities from par levels?

Give JoySuite your par level, current on-hand, and recent daily usage for each item. Joy nets on-hand against par and adjusts for usage over the order cycle, returning the exact quantity to order so every item is back at par by your next delivery.

How does this reduce food waste?

Order quantities are sized to how much you actually sold last week, not to a round number. Perishables get topped up to par rather than over-bought, so you stop pouring out cases of product that spoiled before you could sell it.

Can it flag items I keep getting wrong?

Yes. Point Joy at your recent history and it surfaces the one item you most often over- or under-order, so you can adjust its par level and stop the same stockout or spoilage from repeating every week.

Does it work for a promotion or holiday week?

Yes. Tell Joy about the LTO, holiday, or local event and it rescales the affected items while holding everything else at par, so you carry enough cover for the spike without over-ordering across the board.

Does JoySuite place the order automatically?

No. Joy calculates the quantities and lays them out in a clean table; you copy them into your supplier portal or order sheet and place the order yourself. It reads your data to do the math. It doesn't submit orders to external systems.

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