Restaurant inventory management
that predicts the shortage.
Recipe-level stock deduction, variance reported in rupees rather than units, and demand prediction that tells you what to order before you run out of it mid-service.
Counting stock is not the same as managing it
Most restaurant inventory systems are elaborate counting exercises. They tell you what you have, which you could also establish by walking into the store cupboard, and they tell you what you bought, which is on the invoice. What they rarely tell you is the number that matters: the gap between what you should have used and what you actually used.
That gap is where the money is. It is over-portioning, waste that never got recorded, and stock that left the building. In units it looks trivial, which is why nobody acts on it. In rupees per month it is usually the largest controllable line in the business after labour.
Omega deducts stock at the recipe level, so selling a dish removes its actual components rather than decrementing an abstract count of that dish. Theoretical consumption is then compared against your counted stock and the variance is reported in rupees, per item, per period.
What you get
Recipe-level deduction
Every sale removes actual ingredients, including garnishes, mixers and packaging.
Variance in rupees
Theoretical against actual, reported as money rather than units, so it is a number someone acts on.
Demand prediction
Omega learns the shape of your week and flags what will run out before the next delivery.
Par levels and reorder
Par levels per item per outlet, with suggested order quantities based on predicted consumption.
Multi-outlet stock view
See stock across every outlet at once, including what one store has that another needs.
Wastage recording
Record waste at the point it happens so the variance number reflects reality instead of absorbing it.
Predicting the eighty-six before it happens
Running out of your best-selling item at eight on a Saturday is expensive twice: you lose the covers, and you lose them at the moment you had the most demand for them. It is also almost always predictable, because it has happened before, on the same day, for the same reason.
Omega uses your own sales history, adjusted for day of week and recent trend, to flag items that are likely to run short before the next delivery lands. The output is not an alert after the fact, it is an ordering suggestion beforehand, which is the only form of this that changes the outcome.
When something does run out, marking it unavailable once removes it from the counter, the kitchen display and every aggregator at the same time, so you stop accepting orders you cannot make.
Why it has to be inside the POS
Standalone inventory software fails in restaurants for a structural reason: it requires someone to enter consumption, and nobody does, because the person who knows what was consumed is on the line and has no reason to open a second application.
Inventory that lives inside the point of sale is updated as a by-product of selling. There is no separate data-entry step to skip, which is why the numbers stay real past the third week.
Common questions
How detailed do recipes need to be?
As detailed as the decisions you want to make. A café tracking only milk, beans and syrups gets most of the value for a fraction of the setup effort. A bar tracking every cocktail to the millilitre gets a much sharper variance number. You can start shallow and deepen the recipes that turn out to matter.
Does it handle stock across multiple outlets?
Yes. Stock is tracked per outlet with a consolidated view across all of them, including transfers between outlets. For cloud kitchens running several brands out of one kitchen, stock is a single pool at the kitchen level while cost is attributed back per brand.
How accurate is the demand prediction early on?
It needs a few weeks of your own sales history before it is useful, because it is learning your pattern rather than applying a generic one. Before then it behaves as ordinary par-level reordering. We would rather say that plainly than have you distrust the feature in month one.
Can I record wastage and staff meals?
Yes, and you should, because unrecorded waste is the single biggest source of noise in the variance number. Both are recorded at the point they happen and reported separately, so waste does not get silently misread as shrinkage.
Related
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