7 Common Mistakes When Evaluating a Automation Project

As we work on warehouse automation projects, we often see the same pattern: companies want to start by choosing and purchasing robots. In reality, that is already the middle of the process, not the beginning.

To get the most from automation, it is important to understand how the warehouse operates today, which tasks are best suited for automation, and what specific results the project is expected to deliver.

We have brought together a set of practical recommendations based on customer experience and the challenges companies most often face during implementation. They can help businesses prepare for automation more effectively and build a clearer understanding of what a well-designed project can actually achieve.

Warehouse automation rarely starts with purchasing a robot. It usually begins with identifying existing pain points: where is the facility losing time, money, and productivity — and why?

Employees may spend too much time walking between storage locations. Goods may sit idle waiting to be moved. Orders may accumulate before sorting. Labor shortages become more severe during peak periods. Errors increase in certain operations, while higher throughput requires an almost proportional increase in headcount.

These are the situations that lead companies to consider warehouse automation — using robots and other technologies to automate individual operations and improve process efficiency.

However, the decision to automate is not as simple as it may initially appear. The cost of equipment is only one of many factors that must be considered. Below are seven common mistakes companies make when evaluating automation projects — and that can ultimately prevent those projects from delivering the expected results.

Mistake No. 1: Starting with Equipment Selection

Automation is not simply about introducing new equipment. Its effectiveness depends on how warehouse operations are organized, what problems need to be solved, and what constraints exist at a particular facility.

That is why project evaluation should begin not with equipment selection, but with identifying the operational problems.

It is also important to understand that the benefits of automation do not always come from directly replacing employees with robots. More often, automation changes the way the entire operation is organized.

Take manual order picking as an example. A picker does more than simply take goods from a storage location. They follow a route, locate the required item, navigate around equipment and other workers, wait for replenishment, return to the consolidation area, and transfer the completed order to the next stage.

On paper, all of this may be classified as one operation: “order picking.” In practice, only part of that time is spent actually picking products. The rest is consumed by walking, waiting, and internal movement.

With a goods-to-person solution, items are delivered directly to the operator. Employees no longer need to walk long distances across the warehouse or follow extended picking routes. Instead, they remain at a workstation and perform the task for which the station was designed: selecting the required quantity of items and confirming the pick.

The economic benefit does not come simply from “replacing a picker with a robot.” It comes from enabling one operator to process more order lines per hour while reducing the cost per line.

The same principle applies to autonomous mobile robots (AMRs). An AMR may not directly reduce headcount, but it can eliminate the need for employees to manually move carts between receiving, storage, picking, packing, and shipping areas.

As a result, employees spend less time waiting for transport, leave their work areas less frequently, and perform their core tasks with fewer interruptions.

This is why the same type of robot may deliver excellent results in one warehouse and fail to meet expectations in another. First identify the constraint. Then select the technology that addresses it.

Mistake No. 2: Failing to Analyze Current Processes

Without baseline data on current warehouse operations, evaluating the benefits of automation becomes little more than educated guesswork.

To understand what automation can change — and whether the investment will pay off — measurable evaluation criteria are essential.

The analysis often reveals that the economic benefit does not come from formally replacing one employee with one machine, but from changing the entire process: travel routes, labor utilization, processing speed, and coordination between functional areas.

At a minimum, collect the following data:

1. What is the workload of the area? How many orders, order lines, cartons, or pallets are processed per shift?
2. What is the actual productivity? How many units are processed per labor hour?
3. How long does each operation take?
4. How is working time allocated? What share is spent directly on picking, sorting, or packing, and what share is lost to walking, waiting, searching for goods, or correcting errors?
5. What are the length and structure of employee and equipment routes?
6. How often do errors, returns, and mis-picks occur?
7. What does it cost to process one order, order line, carton, or pallet?
8. What additional costs exist? How much is spent on overtime and temporary labor, and what are the costs of equipment and labor downtime?

Two scenarios should then be compared over the same period: operations without automation and operations after implementation.

The baseline scenario should account not only for current costs, but also for how those costs are expected to change as volumes grow. How many additional employees will need to be hired? Will another shift be required? Will overtime, training, and quality-control costs increase?

The automation scenario should include capital investment, operating expenses, remaining labor costs, and the expected increase in productivity.

Mistake No. 3: Assuming a Robot Should Replace a Human

Warehouse automation should not be evaluated solely by its ability to reduce headcount.

Sometimes the main benefit is that, as volumes grow, the company does not need to hire another 20 or 30 employees. For a rapidly growing warehouse, avoiding additional hiring can be more valuable than direct headcount reduction.

With robotics, warehouse logistics becomes a coordinated system of people, equipment, and information systems.

A robot receives tasks from the WMS, moves goods, containers, or pallets, confirms completion, and transfers the load to the next stage. Employees continue to perform activities that require visual inspection, handling of non-standard goods, decision-making, or exception management.

As a result, the number of employees may not change at all. What changes is how their working time is used.

Before automation, an employee may spend a significant part of their shift walking, waiting for a cart, or searching for available equipment. After automation, many of these non-value-adding activities can be reduced.

Automation can improve labor productivity in several ways:

1. The same order volume can be processed by a smaller shift workforce.
2. The existing workforce can handle higher throughput.
3. The need for seasonal hiring can be reduced.
4. Overtime can be reduced.
5. New employees can reach the required productivity level faster.

Mistake No. 4: Considering Only the Cost of Purchasing Robots

Many companies begin budget planning with the price of robotic equipment. But that is only one part of the total project cost.

If design, implementation, integration, infrastructure, and ongoing operating expenses are ignored, the economic assessment will be incomplete.

Hidden Equipment and Infrastructure Costs

A robot may appear to be a ready-to-use device that simply needs to be delivered to the warehouse. In reality, industrial operation begins with preparing the environment in which the equipment must operate safely and reliably.

Depending on the system, this may include charging stations, batteries, on-premises or cloud infrastructure, wireless access points, positioning systems, and safety equipment.

In some projects, preparing the facility can require investment comparable to the cost of the robots themselves.

Possible modifications include:

1. Floor leveling or repairs;
2. Route markings;
3. Barriers and safety zones;
4. Racking modifications;
5. Automated gates;
6. Integration with elevators and conveyors;
7. Additional sensors;
8. Operator workstations;
9. Fire protection and evacuation measures.

Even when the warehouse itself is ready for robotic operations, additional project costs remain.

Design and Implementation Costs

System design and implementation are another area that is frequently underestimated.

These costs may include:

• site surveys;
• material-flow modeling;
• target-process design;
• integration with WMS, ERP, WCS, or WES platforms;
• configuration of task and status data exchange;
• scenario testing;
• development of emergency procedures;
• operator and technical staff training;
• pilot-zone deployment;
• go-live support;
• updates to operating procedures and job descriptions.

The more complex the process, the larger the share of the total project budget that may be required for integration.

The robot must be integrated into the operation: it must know where to get a task, where to deliver the load, what to do when a destination point is occupied, how to respond to an obstacle, and how to report its status back to the host system.

Once implementation is complete, the project enters the operational stage, which brings its own ongoing costs.

Operating Costs

Operating expenses may include maintenance, spare parts, batteries, software licenses, technical support, electricity, connectivity, software updates, and training for new employees.

Planned and unplanned downtime should also be considered. Even a reliable robotic system requires maintenance. The project therefore needs sufficient capacity reserves, service windows, and operating procedures for situations in which part of the fleet is unavailable.

Another important consideration is the financing model.

Purchase or RaaS: Choosing the Right Model

Purchasing equipment is not the only option. Many companies also consider RaaS — Robotics as a Service. Under this model, the customer pays for the use of robotic equipment through a subscription, which may be based on the number of robots, operating hours, or completed operations.

The main advantage is lower upfront investment. Instead of purchasing the entire system at once, the company pays a recurring fee that may also include software, maintenance, repairs, and updates.

However, over the long term, a subscription can cost more than purchasing the equipment outright. RaaS can also increase dependence on the provider. Service levels, price escalation terms, and the ability to expand the robot fleet quickly may all depend on the supplier.

The choice between purchasing and RaaS should reflect the project duration, seasonality, and expected workload.

For stable and highly predictable operations, purchasing robots may be more cost-effective. For pilot projects, rapidly growing facilities, or highly seasonal operations, RaaS can reduce risk and allow the technology to be tested with lower upfront investment.

The cost of robotic equipment is therefore only one component of the project budget. A proper economic assessment should consider the entire lifecycle of the system — from facility preparation and implementation to operation and maintenance.

Mistake No. 5: Assessing the Economic Benefit Incorrectly

Robots can reduce the time required to move goods, supply containers, transport pallets, sort shipments, perform inventory counts, and transfer loads between functional areas.

However, automation should not be evaluated solely by its payback period, the number of robots deployed, or the number of employees removed from the process. Its impact is much broader.

Direct Effect: Reducing Cost per Operation

The direct economic effect of automation is largely associated with reducing the labor required for each operation. For this reason, one of the most useful indicators is cost per operation.

Warehouse economics are driven by repetition.

Saving a few seconds on one task may seem insignificant. Across thousands of operations per shift, dozens of employees, and hundreds of working days, those seconds can add up to entire shifts of labor.

Useful unit-cost metrics may include:

1. Cost per order line processed;
2. Cost per order picked;
3. Cost per pallet moved;
4. Cost per shipment sorted;
5. Cost per return processed;
6. Cost per storage location counted.

Suppose 10 employees in one area process 1,000 order lines per shift before automation. After automation, the same workforce processes 1,600.

Headcount has not changed, but labor cost per order line has fallen significantly. The company can process more orders without increasing shift size, hiring temporary staff, or adding overtime.

These direct productivity improvements are the easiest to translate into monetary terms, but they represent only part of the overall impact of automation.

Indirect Effect: More Stable and Controlled Processes

Indirect benefits can sometimes be comparable to direct labor savings.

Automation reduces manual handoffs and makes the sequence of operations more transparent and controlled. The WMS generates a task, the robot performs the movement, and the system records the status and triggers the next step.

The fewer informal and untracked actions there are — “leave it here,” “we’ll move it later,” “forgot to confirm” — the greater the process transparency becomes.

Automation can help reduce:

• picking errors;
• mis-picks;
• product damage;
• returns caused by order-processing errors;
• lost containers and carts;
• delays when transferring loads between areas;
• downtime caused by unavailable transport;
• time spent manually investigating errors and failures.

For an e-commerce operation, this can mean fewer cancellations and faster order fulfillment. A retail chain can replenish stores more consistently and reduce out-of-stock situations both on the sales floor and in the backroom. A 3PL operator can handle more customers without increasing headcount or expanding the facility.

These improvements may not always appear immediately in financial statements, but over time they can have a significant effect on warehouse performance.

Strategic Effect: The Ability to Scale

Strategic benefits are more difficult to express in monetary terms, but they can determine how well the facility performs several years into the future.

In the long term, automation can provide several important advantages:

1. Scalability. As volumes grow, the company can add robots, workstations, or shifts without completely redesigning the process or sharply increasing headcount. This is especially important in markets where warehouse operators have difficulty recruiting and retaining employees.
2. More stable operation during seasonal peaks. Instead of urgently hiring large numbers of temporary employees, companies can increase fleet capacity, adjust schedules, and redistribute material flows between areas.
3. Greater operational visibility and control. Robots do not operate in isolation but as part of the warehouse’s digital environment. Tasks, movements, delays, and exceptions can be recorded in the information system.

This gives management a clearer picture of facility operations and helps identify:

• where queues occur;
• which routes are overloaded;
• how long an individual operation takes;
• which areas lack capacity;
• where employees or equipment remain idle.

Automation therefore does more than automate individual operations. It also produces data that can support more informed management decisions and future capacity planning.

Project evaluation should therefore consider both current savings and the long-term strategic benefits of automation.

Once all components of the economic impact have been identified, quantitative assessment can begin.

How to Assess the Economic Benefit: Payback Is Not Everything

Payback period alone does not provide the full picture.

A project may have a four-year payback period but eliminate, in its first year, a constraint that prevents the warehouse from handling growing volumes. Conversely, an attractive two-year payback calculation may fail to account for service, integration costs, and actual downtime.

A complete assessment should therefore consider both financial indicators and changes in productivity, process quality, and future capacity.

In simplified form:

Total economic benefit = labor cost savings + avoided hiring costs + savings from fewer errors and less downtime + additional margin generated by higher throughput

Useful indicators include:

1. Payback period;
2. ROI;
3. NPV;
4. Internal rate of return (IRR);
5. Cost per operation before and after automation;
6. Productivity per labor hour;
7. Productivity per square meter;
8. Maximum throughput of the area.

Mistake No. 6: Scaling Immediately Instead of Running a Pilot

One of the most common mistakes is deploying a robotic system across the entire warehouse from the outset.

Even when the selected technology looks promising, a pilot allows the company to verify whether expected productivity and economic results can actually be achieved under real operating conditions.

The pilot should focus on a process where the problem is already clear and measurable — for example, transporting containers between areas, order picking, shipment sorting, or inventory counting.

Before the pilot begins, establish baseline indicators:

1. Number of operations per shift;
2. Processing time per unit;
3. Labor requirements;
4. Number of errors;
5. Waiting time;
6. Actual utilization of the area;
7. Cost per operation;
8. Productivity during peak periods.

The robotic solution can then be implemented in the selected area. This gives the team an opportunity to test the system and make adjustments while allowing employees to become familiar with the new equipment.

Avoid drawing conclusions from the first day of operation. Employees need time to adapt, routes and operating rules need to stabilize, and some issues may only become visible when the system is running at full load.

Once the pilot reaches stable operating conditions, measure the same indicators again and compare them with the baseline.

Look not only at average productivity, but also at consistency: how the area performs throughout the shift, how it performs during peak periods, how often manual intervention is required, and what happens when part of the equipment is unavailable.

Mistake No. 7: Automating Processes That Are Not Suited to Automation

The decision should be based not on the desire to automate the warehouse at any cost, but on a clear understanding of the problem automation is expected to solve.

Automation is most effective when an operation:

1. is repeated frequently;
2. follows a clear route and sequence;
3. requires significant labor;
4. limits throughput;
5. requires consistent SLA performance;
6. is difficult to scale by adding personnel.

Sometimes the problem is not the technology but the underlying warehouse process.

If operations are not standardized, automation may simply reinforce existing inefficiencies.

Robots are not required in every warehouse or for every task. If volumes are low, flows are unstable, and tasks change constantly, integration costs may exceed the potential savings.

Automation will also struggle to deliver the expected results if the underlying process is not properly organized.

If inventory records in the WMS are inaccurate, storage locations are not properly labeled, tasks are generated with delays, and employees rely on informal operating rules, a robot will simply automate the existing chaos.

How to Avoid These Mistakes

Many mistakes in warehouse automation projects occur before a specific technology is even selected.

The probability of successful implementation increases significantly if the company:

1. Starts with process analysis.
2. Identifies the facility’s actual constraints.
3. Evaluates the total cost of the project.
4. Considers direct, indirect, and strategic benefits.
5. Tests the selected solution in a pilot area before scaling.

Automation is not an end in itself. It is a tool for improving warehouse performance. The result depends not only on the capabilities of the equipment, but also on the quality of project preparation and how well the selected solution matches the requirements of the specific facility.