How successful fast food works: data, automation and CMV control

Understanding how a successful fast food today goes far beyond just frying potatoes and assembling snacks quickly. Today's modern consumer demands agility, consistency in orders and a experience whether at the counter, on the totem pole or in delivery. At the same time, as a manager, you need to balance this demand with the need to have margin, predictability e ability to climb its operation.

Fortunately, the answer to this challenge, and to optimizing how fast food works, lies in the integration of technology. Tools that were once seen as differentiators, such as a KDS (Kitchen Display System) or a disciplined back office, are now the basis of the modern operation. This is because they allow orders from multiple channels to be managed in one place, making the kitchen work at the right pace and allowing the manager to make decisions based on data, not assumptions.

In this guide, we're going to take you step by step through how a high-end fast food business works, from sales channels to DRE, and which indicators (KPIs) really matter if you want to operate at peak times without improvising. So read on to find out what you can apply to your business.

What's changed in fast food: channels, expectations and margin

Fast food consumers are no longer tied to a single channel. Although the preference is still for eat at the point of sale itself, responsible for 49,3% of occasions, the e-commerce already represents 29,2% of consumption, according to a study by Brand Footprint Brasil Out of Home QSR 2025. On the contrary, the modern customer naturally switches between counter, self-service totems, own apps, delivery marketplaces and drive-thru, which, incidentally, continues to gain relevance. As a result, movement peaks have become less predictable and more fragmented. To this end, a fast food system becomes inevitable

In addition, each channel brings a different expectationsthe counter customer tolerates less waiting, delivery requires precision in the delivery window and the drive-thru depends on a flow that can't stop. Therefore, ignoring these particularities and managing all channels in the same way is what, in practice, generates friction, rework and cancellations.

At the same time, the profit margin is pressured by input costs, application fees (aggregators) and fluctuations in sales volume. In other words, any minute lost in preparation or error in inventory write-offs can blow your profit. Cost of Goods Sold (COGS).

That's why technology, which used to seem like “kitchenware”, has become a strategic management tool. This vision is aligned with the “Tech + Touch”, highlighted in Galunion Insights 2025, which states: “If digital accelerates, it's the human that differentiates”. Today, therefore, it is essential to integrate your POS, ordering system (OMS) and kitchen system (KDS) with a fast food system that unifies the back office (stock and financial management) in order to ensure that the main tools “talk to each other”.

From order to DRE: how modern fast food works without “double orders”

For the operation to run smoothly efficiency, The flow of information must be continuous. Visualize the treadmill: the sales channels send orders to the OMS, which sends them to the KDS, which in turn records the stock write-off and feeds the BI (Business Intelligence). Here's how each link supports the customer experience and the profit margin:

1. Channels → WHO: the basis of how fast food works

First of all, the initial step is to centralize: all requests, no matter where they come from (totem, app, counter), must fall into a unique Order Management System (OMS). This creates a logical queue.

In this system, the price, priority and preparation time (SLA) rules per channel are standardized. As a result, the manager does away with “double ordering”, the practice of selling in one system and having to manually place the order in another for the kitchen. Therefore, the reduction in inconsistencies is drastic.

2. WHO → KDS: how the fast food kitchen works in real time

The OMS then translates the order queue into tasks for the KDS (Kitchen System). In other words, the KDS displays the work by station (frying, assembly, etc.), shows the target preparation times and points out bottlenecks.

With this in mind, the kitchen react at the right time, It can also be used to create short production batches when necessary or to reduce idleness when the peak has passed. In addition, the manager can redeploy the team to the most sensitive stage at the time.

3. KDS → shipping: several routes, one pattern

Dispatch, in turn, consolidates all the orders, which can have different routes: pick-up at the counter, table, delivery or drive-thru. Prioritization is smart, This is because it takes into account both the time promised for that channel and the status of the order in the kitchen (KDS). In this way, the customer perceives rhythm and clarity, while the team avoids confusion and rework.

4. Automatic write-off → BI/DRE: real consumption and objective decision-making

Finally, when an item is prepared, the system automatically writes off the inputs used, according to the technical data sheet (write-off by composition). This means that your realized COGS keeps up with the reality of the shift.

Subsequently, this sales, time and cost information is fed into the Business Intelligence (BI) and finally DRE (Profit and Loss Account). Therefore, the manager's decision is no longer “intuition at the counter” but evidence-based management.

How fast food works: the architecture in 4 essential layers

To avoid overlapping roles, it is essential to think about your operation from restaurante fast food in four layers with clear points.

  • POS/Store Front: Responsible for price rules, combos and payment methods. They must ensure that the correct invoice is issued so that the purchase flows smoothly without holding up the kitchen.
  • OMS/KDS (order management and kitchen): It creates the single queue of orders, defines priorities, points out bottlenecks in production and shows target times by season. It therefore ensures that the kitchen receives the right work at the right time.
  • Backoffice: This is where standardized data sheets, inventory control, invoice reading (XML) and purchase suggestions are kept. In this way, the theoretical COGS is reliable and the realized COGS is manageable.
  • Executive BI (management intelligence): It consolidates CMV, waiting time, cancellation and breakage data by store, channel and shift. In this way, the routine meeting becomes an engine for improvement.

KPIs that define how a successful fast food business operates

There are lots of metrics, but few change team behavior. Below are the indicators that actually connect the promise made to the customer, the preparation in the kitchen and the profit margin.

Theoretical × realized CMV

The theoretical COGS is the cost “that should happen” based on your technical data sheet and the purchase price. The realized COGS, on the other hand, shows what actually happened.

If the deviation between the two increases, investigate the probable causes: outdated technical data sheets, inaccurate portioning in the kitchen, physical loss of supplies, a write-off error or a purchase above the agreed price.

Good practices:

  • Calculate the variance by store, shift and product family (e.g. drinks, proteins).
  • Review technical data sheets that differ from actual performance.
  • Adjust purchases to the expected sales mix, not just to the historical average.
  • Record input substitutions to avoid distortions.

TME (Waiting Time) p50/p90 per station

The average waiting time can be misleading, as the average hides the peaks. Therefore, use the median (p50 - the time that 50% customers wait) and the 90th percentile (p90 - the time that the 10% customers who waited the longest experienced).

This, by the way, is the right way to calibrate your delivery promise, based on what the customer actually faces at the most critical times.

Good practices:

  • Set time targets for each stage: pre-preparation, frying, assembly and dispatch.
  • Trigger alerts when the p90 (worst case) bursts in sequence.
  • Reinforce the team temporarily at the station that has become a bottleneck.

Cancellations by channel and reason

The logic is simple: fewer cancellations means more sales. Classify each cancellation by reason: late delivery, breakage (lack of product), order error or customer absence. Then address the root cause, Whether it's a delivery promise that doesn't come true, a shipping failure or a recurring supply shortage.

Disruption management and dynamic availability

Imagine that a side dish is critically out of stock at your fast food outlet. The smartest way to deal with stock-outs is not to remedy the problem in front of the customer, but to prevent the supply. If a robust identifies that an input reached the “minimum stock”, he pause automatically the sale of the item on digital channels (totems, apps). This avoids order frustration and kitchen rework. What's more, this breakage information feed purchase planning (MRP), which use the “purchase suggestion calculation” to adjust the mix and guarantee replenishment before the next peak.

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How to avoid stock losses

Live menu and dynamic availability

Your fast food menu can't be static; on the contrary, it should be a “steering wheel” that helps you control how a fast food restaurant works.

For example: if the deep fryer has become the bottleneck in the kitchen, temporarily reduce the promotion of items that use it and promote equivalent faster-cooking options. In the same way, highlight fast food items with faster preparation on digital channels when the waiting time (p90) is over. As a result, the customer retains the perception of value and the production line breathes.

Teknisa solutions: how an integrated fast food works

Managing all these points, from the single queue to the CMV, requires an integrated platform. This is where fast food solutions from Teknisa They are designed to connect their channels in a single queue, orchestrating orders, preparation and dispatch without “double command”.

Our OMS and KDS tools align the delivery promise of each channel (delivery, counter, totem) with the actual capacity of your kitchen. At the same time, the POS and totems display the same menu and the same waiting time (SLA), ensuring consistency.

With this, the manager stops putting out fires and starts keeping track of what really matters: preparation time, cancellations, stock-outs and COGS. In practice, decisions become simple, such as adjusting the digital menu or reinforcing a station, and changes are seen in the next peak, without relying on parallel spreadsheets.

The results are felt quickly: after all, fewer queues and less rework reduce waste. At the same time, the customer experience improves because the promise is kept. In the end, the margin breathes and the routine gains predictability, whether in a single store or a large chain.

Watch the video and discover Giraffas' success story with Teknisa!

Conclusion

Understanding how an efficient fast food business works is not a matter of chance, it's a method. Therefore, the path to success involves unifying the order queue, governing the back office (stock and purchasing) and monitoring KPIs with discipline.

After all, when OMS, KDS, POS, Backoffice and BI work in an orchestrated fashion, the operation delivers on its promise in any channel and the DRE shows the result. Remember: by turning exceptions into standards and using simple management rituals (predict → adjust → measure → repeat), You stabilize the delivery time, the customer sees consistency and the margin breathes.

So, do you want to standardize your movement peaks, reduce cancellations and protect your margin? Get to know system for restaurante fast food from Teknisa and request a demo now!

You'll want to know!

The pillars are integration and data-based management. Success therefore involves having a “single queue” of orders (OMS) that communicates perfectly with the kitchen (KDS) and also with the back office (Backoffice). In this way, the manager stops making decisions by “intuition” and starts using evidence to control the CMV, the preparation time and the efficiency of the operation.

The OMS (Order Management System) is, first of all, the brain that centralizes all orders (whether from the counter, totem or delivery) in a single logical queue. Next, the KDS (Kitchen System) receives these orders from the OMS and translates them into tasks for each station (frying, assembly, etc.), showing target times and pointing out bottlenecks. By working together, they eliminate the “double command” and, consequently, ensure that the kitchen produces at the right pace.

The profit margin in fast food is heavily pressured by input costs. That's why any error in portioning, loss of input or failure to write off stock will blow out your COGS and eat into your profit. Therefore, an integrated system with automatic write-off by composition is what makes your theoretical COGS reliable and your realized COGS manageable.

Management is done through an OMS (Order Management System). First, it standardizes price rules and priorities for each channel (counter, totem, delivery) and then puts them in a single, logical queue for the kitchen. Therefore, this centralization is essential for managing peak movements, since today they are fragmented and come from multiple channels.

A “live menu” or dynamic menu is essentially a menu used as an operational management tool. For example, if your waiting time (p90) is high because the fryer has become a bottleneck, an integrated system allows you to highlight other, faster-to-prepare fast food items on the totems and apps. With this, you “guide” customer demand and, at the same time, allow the operation to breathe while maintaining the perception of value.

The “automatic write-off by composition” is what connects the preparation of the snack to your finances in real time. In other words, when an order is finalized in the KDS, the system automatically debits from stock exactly the inputs on the technical sheet (e.g. 1 bun, 150g of meat, 2 slices of cheese). As a result, your realized CMV reflects the actual consumption for that shift, which in turn feeds the DRE (Income Statement) with accurate data, rather than relying on a manual inventory at the end of the month.

The traditional TME (Average Waiting Time) can be misleading, as the simple arithmetic average hides the peaks. For example, if most customers wait 3 minutes, but 10% wait 15 minutes, the average goes up and doesn't reflect anyone's reality. That's why we use p50 (the median, i.e. the time that 50% customers wait) and p90 (the time that the 10% customers who waited the longest experienced). In short, by using the p90, you calibrate your delivery promise based on your most critical scenario, rather than on an unreliable average.

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