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The minimum quantity of each product required in stock at the start of each service period. Par levels define the reorder point — when inventory drops below par, it triggers a purchase order. Accurate par levels prevent both stockouts and over-ordering.
Par levels are a perpetual optimization problem. Set them too high and you over-order, tying up capital and creating storage pressure. Set them too low and you run out mid-service — getting 86'd on a high-volume item during a busy Friday night is an operational and revenue failure.
Accurate par calculation requires three inputs: projected usage (based on historical sales by day of week and season), delivery frequency (how many days between orders), and safety stock (buffer for unexpected demand spikes or delivery delays). Most operations set par by intuition — 'we go through about three bottles of that a week' — which works until it doesn't.
Spec-driven par levels are more reliable: if you know how many pours per recipe, and you have historical sales volume by recipe, you can calculate exactly how much of each ingredient you need per service period. This also means that when a recipe is discontinued, its ingredients' par levels automatically decrease.
methodus provides the recipe-level ingredient usage data needed to calculate accurate par levels — connecting spec documentation to purchasing decisions.
Industry term meaning an item is out of stock or no longer available.
Everything in its place — the prep and setup before service begins.
Inventory items that sit unused for extended periods, tying up capital.
Using documented recipe specifications to generate accurate purchasing orders.
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