Calculating the optimal fleet size for robots: Guide for operators

Calculating the optimal fleet size begins with a detailed workload analysis. In professional robotics we don't talk about quantities, but about throughput capacities. To determine the number of units needed, you need to divide the total number of tasks per shift by the capacity of a single robot. However, a single robot is not a static entity. Its availability is defined by the net uptime remaining after charging cycles, maintenance windows and software updates.

A critical factor is the variability of demand. In a hotel, room service often focuses on the evening hours, while in nursing the medication rounds follow fixed time slots. The fleet size must be calculated so that it covers the peak load without tying up unused capital during off-peak times. We use the Spec Engine, which has been trained on data from over 35,000 projects to accurately predict these fluctuations. A safety factor of 10 to 15% for unforeseen events or technical failures is standard in professional environments.

In addition, the physical environment must be taken into account. Elevator bottlenecks or narrow hallways limit the number of robots that can operate at the same time before they interfere with each other. This inter-robot interference reduces per-unit efficiency as the fleet grows larger. Linear scaling is therefore often deceptive. werob simulates these scenarios in the planning phase to ensure that the calculated fleet size actually delivers the promised performance.

Traditional consulting firms often take three to six months to create a discovery deck for a robot launch. During this time, operational requirements or budgets change. werob breaks this process down to 48 hours. Our Spec Engine translates your spoken or written workflows directly into a usable robot specification. They describe the shift, the floor and the task; The engine uses this to calculate the necessary hardware performance and the optimal number of units.

This automated process helps experts minimize estimation errors. For example, if you specify that 120 medications are transported across three floors every day in a nursing facility, the Spec Engine will calculate exactly whether two or three robots are needed to ensure the planned cost reduction per year, taking elevator speeds and loading times into account. Regulatory requirements such as ISO 13482 for use in close proximity to people are also woven directly into the specification.

The Spec Engine is the heart of our platform. It allows operators to run through different scenarios. What happens if transport routes are extended by 20%? How does an increase in the frequency of cycles affect the charging infrastructure? Within two days you will receive a well-founded basis for your decision that goes far beyond simple manufacturer promises. This is the first step of our promise: 48 hours to spec, 5 days to quote, 8 weeks to robot in use.

The optimal fleet size varies greatly depending on the vertical market. In nursing care, we see in large nursing facilities that the medication round enables significant annual cost reductions per location. The reliability of the fleet is crucial. A failure during peak hours can jeopardize the entire care plan. That's why we often plan with redundancy here, which is monitored live by the werob Cockpit.

In the hotel industry, the focus is on room service and breakfast preparation. A hotel room service robot can achieve significant cost relief per year. Since demand fluctuates strongly here, flexible fleet management is essential. In the catering industry (F&B), however, tray bots in the washing chamber provide significant relief, while automated kitchen floor cleaning ensures further budget advantages. The fleet size is often smaller, but the intensity of use per robot is significantly higher.

In logistics and security, the areas are often more extensive. A yard patrol relieves the budget annually, while a retail patrol saves further costs in retail. The fleet size is calculated primarily based on the area to be patrolled and the required interval frequency. werob uses these verified numbers to individually validate the business case for each fleet size. You only pay for the outcome (outcome-only), which means that our calculations must be precise in order for the model to work for both sides.

A common mistake in fleet planning is vendor lock-in. Anyone who decides on a manufacturer early on is bound to its capacities and technological limits. werob is hardware agnostic. We are not a robot manufacturer or a single OEM reseller. Our Supplier Match ranks over 44 OEM partners and more than 280 different robot models to meet your specific requirements. Whether humanoids from Apptronik or specialized service robots from Keenon and Pudu. We choose the hardware that most efficiently achieves your fleet goals.

This independence is particularly important when it comes to scaling. One manufacturer may have the best robot for transportation, but another offers the superior solution for cleaning. werob integrates these different systems into a unified fleet that is controlled via the central cockpit. You don't have to deal with different interfaces or support teams. We act as the only system integrator that resolves the entire complexity of the hardware variety for you.

In addition, hardware agnostics protects your investment. If an OEM has technological backlogs or delivery problems, we can quickly switch to alternatives from our catalog of 44+ partners within the werob platform. This guarantees that your fleet is and remains operational within the promised eight weeks. We evaluate the robots not only based on technical data sheets, but also based on their real performance in our over 200 live installations in 11 European countries.

A robot that doesn't communicate with your existing software is just an isolated island of hardware. To effectively utilize the optimal fleet size, the robots must be seamlessly integrated into your operator stack. werob offers pre-built connectors for leading systems such as PointClickCare, MatrixCare, Opera PMS, Mews, Toast and SAP EWM. This integration allows tasks to be automatically generated and distributed to the most appropriate robot in the fleet.

In a hotel, for example, this means that an order in the Toast system or a request in the Opera PMS directly activates a room service robot. In logistics, SAP EWM communicates directly with the fleet to coordinate transport orders without manual intervention. This automation of order placement massively increases fleet efficiency and reduces the number of units required by minimizing idle time. Without this deep integration, you would have to maintain a larger fleet to compensate for manual delays.

Our connectors are not individual tinkering solutions, but rather standardized interfaces that are ready for use within a few days. This is a critical part of our speed promise. While others are still discussing API documentation, our robots are already connected to your system. The data from these integrations flows directly back into the werob cockpit, so that you can see at any time how your fleet is performing and where adjustments to the fleet size may be necessary.

When planning a robot fleet in Europe, compliance with regulatory standards is not an option, but a necessity. The new EU Machinery Regulation 2023/1230, which will become binding from January 20, 2027, is particularly critical. Many Asian OEMs do not have the necessary conformity assessments for the European market. werob acts as your compliance path here. We ensure that every unit in your fleet meets strict requirements before it goes into operation.

This includes not only hardware security, but also aspects such as the EU AI Act, GDPR for camera-based systems and industry-specific standards such as ISO 13482 for personal assistant robots. In care, coordination with home supervision is also crucial. Violation of these guidelines can result in the immediate shutdown of the entire fleet, posing a massive financial risk. werob takes on this regulatory burden for you.

Our cockpit has a 4-dimensional traffic light system that, in addition to hardware and infrastructure, also monitors the regulatory status of each unit live. This means you can be audited at any time. When you calculate your fleet size, we factor in these compliance costs and risks directly. Since we work according to the outcome-only model, we bear the risk: you only pay when the robot is legally compliant and operational. This gives you the security that your automation strategy will last even after 2027.

Once the fleet is deployed, the focus shifts from calculation to improvement. The werob cockpit is the central control level for your robots. It provides a real-time overview of all units in 11 European countries. The system uses a 4-dimensional traffic light system to evaluate the status of the fleet: hardware integrity, network infrastructure, regulatory compliance and fulfillment of the specification (spec adherence).

The cockpit allows you to immediately recognize when a calculated fleet size reaches its limits in practice. For example, if waiting times for nursing care transport orders increase, the system provides data-based recommendations for expanding the fleet. At the same time, it identifies underutilization so you can move resources between locations. This flexibility is a core advantage of our platform compared to purchasing individual robots from an OEM.

The cockpit also serves as an interface for support. Because we see live data from each unit, we can often resolve issues before they disrupt operations. This ensures the high availability that is necessary to achieve cost reductions of up to high cost reductions in the hotel sector. You receive monthly reports that document the real outcome of your fleet. This makes the success of automation transparent and measurable for management.

One of the biggest barriers to adopting robotics is the high initial investment and the risk of fleet size miscalculation. werob solves this problem through a consistent outcome-only model. What this means for you: You pay nothing until the robot is running in your company and fulfilling the defined tasks. We do not calculate list prices for hardware, but rather focus on the value delivered.

This model forces us as system integrator to be extremely precise when calculating the optimal fleet size. If we recommended too many robots to you, they would sit unused and incur costs for us. If we recommended too few, we would not be able to deliver the promised outcome. Our economic interest is therefore directly linked to your operational success. This fundamentally distinguishes us from classic retailers whose goal is purely to sell hardware.

Cost reductions, such as cost reductions in care transport or savings in ball collection on the golf course, can be realized directly without your budget being burdened by upfront costs. We take on the financing, integration and regulatory risk. You benefit from the increase in efficiency from day one. This model enables companies of all sizes to get into robotics quickly and without bureaucratic hurdles and to scale their fleet agilely if necessary.

Time is a critical factor in operational optimization. While conventional projects often take years, werob brings your robot fleet live in eight weeks. The process is clearly structured: After the 48-hour spec phase and the offer within five days, the implementation phase begins. We use our pre-built connectors to integrate the robots into your stack, while hardware configuration and regulatory testing take place in parallel.

In weeks 1 to 4 we focus on site preparation and software connection to systems such as SAP EWM or Mews. In weeks 5 to 7, the physical installation and training of the employees on site takes place. In week 8, the fleet goes live and is immediately monitored by the werob cockpit. This accelerated rollout is only possible because we can rely on a proven platform and a network of 44+ OEM partners.

With currently 200 robots in live operation and the goal of 2,000 robots by 2028, we have industrialized the processes. We know what hurdles can arise in the 11 European countries in which we operate and we already have the solutions ready. Start the process today and see what your optimal fleet looks like within 48 hours. The path to automated efficiency has never been so short and low-risk.