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HR Insights
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Friddy Hoegener
27 August 2026
Warehouses are changing quickly. Automation, robotics, artificial intelligence, and warehouse management systems are taking on more of the repetitive work, while operations are becoming more connected and data-driven. For warehouse leaders, that creates a different hiring challenge: the people needed to run a modern warehouse may not look exactly like the people companies hired five or ten years ago.
The shift is already significant. Gartner predicts that 50% of new warehouses in developed markets will be designed as robot-centric facilities by 2030, with people increasingly focused on managing exceptions and work that automation cannot handle.
That does not mean warehouses will stop needing people. It means the work people do is changing, and companies need to think about what that means for the talent they hire.
Automation is moving well beyond conveyors and basic material handling. Warehouses are using robotics, automated storage and retrieval systems, autonomous mobile robots, computer vision, and other technologies to move, store, pick, sort, and track products. Companies are making these investments because they need to handle growing volumes while dealing with labor shortages, cost pressures, and demands for greater productivity.
As more repetitive work moves to automated systems, the role of the employee changes. Someone still needs to monitor the operation, respond when equipment does not perform as expected, investigate problems, and make decisions when the system encounters something outside the normal process. The work may be less about performing every individual task and more about understanding the operation well enough to know when something is wrong and what to do about it.
That changes what companies should look for when hiring warehouse talent. Experience working around technology becomes more valuable, but it cannot replace an understanding of how a warehouse actually operates.
Technology is also giving warehouse leaders access to more information about inventory, labor, orders, equipment, and productivity. Instead of relying only on what they see happening on the floor, managers can use system data to identify bottlenecks, track performance, and understand where an operation is falling behind.
That changes the expectations of the job. A warehouse manager may need to look at productivity data and determine why a particular process is slowing down. They may need to connect labor utilization to what is happening during a shift or investigate why inventory accuracy has changed.
The technology can provide the information, but someone still has to understand what it means. That makes data literacy increasingly useful for warehouse leaders, even when the role does not require advanced technical skills.
This is part of a broader supply chain skills gap. The challenge is not simply finding people with warehouse experience. Companies increasingly need people who can combine that experience with the technical and analytical skills required by a more connected operation.
AI is beginning to take on parts of supply chain and warehouse decision-making as well. It can support areas such as forecasting, labor planning, inventory decisions, scheduling, and other operational processes.
Warehouse employees do not necessarily need to become AI specialists. They do need to be comfortable learning new tools and working in an environment where technology is increasingly involved in how decisions are made.
That is an important distinction when hiring. A candidate does not need to have used every new technology available. But someone who has successfully learned new systems, adapted to changing processes, and used technology to improve an operation may be better prepared for what the warehouse will look like several years from now.
The fundamentals of warehouse work are not disappearing. Companies still need people who understand inventory, fulfillment, safety, labor, equipment, and the realities of running an operation.
What is changing is the combination of skills around those fundamentals.
Candidates do not necessarily need experience with the exact technology your warehouse uses. What matters is whether they have worked comfortably with warehouse systems, automation, robotics, scanners, or other technology and can learn something new.
When interviewing candidates, ask how they have used technology in their previous roles. Did they use system information to solve a problem? Did they help implement a new system? Did they train other employees? Their answers can tell you more than simply seeing a list of software on a resume.
Automation is well suited to predictable work. People are still needed when something unexpected happens.
A machine stops working. Inventory does not match the system. A shipment changes unexpectedly. A process creates a bottleneck that was not anticipated.
Those situations require someone who can understand the problem, find the cause, and decide what to do next. As warehouses become more automated, problem-solving and judgment become more important because employees are increasingly responsible for the situations that fall outside the normal process.
This should also change how companies evaluate candidates. Rather than relying entirely on whether someone has worked with a particular piece of equipment or software, ask them to walk through a real operational problem they have faced and what they did about it. A strong supply chain interview can help hiring teams evaluate those capabilities more consistently.
Warehouse leaders do not need to be data scientists. They do need to understand the information their systems are giving them.
A strong candidate should be able to look at operational data, recognize when something is changing, and connect the numbers to what is happening on the floor. They should be able to use that information to make a decision rather than simply report what the numbers say.
That is a different skill from simply having experience with a warehouse management system. Companies should be looking for people who know how to turn information into action.
The technology a warehouse uses today may look different a few years from now. That makes adaptability increasingly important.
When interviewing candidates, ask about a time they had to learn a new system, adjust to new equipment, or change a process they had been using for years. The goal is not just to find someone who knows the technology you have today. It is to find someone who can keep learning as the operation changes.
Technology does not eliminate the need for warehouse leadership. In many cases, it makes the job more complicated.
Employees have to learn new systems. Processes change. Responsibilities shift. Teams may have concerns about automation and what it means for their jobs. Leaders have to keep the operation moving while helping employees adapt to those changes.
A strong warehouse leader therefore needs more than technical knowledge. They need to understand the operation, communicate clearly, train their team, and help people work effectively alongside new technology.
There is a temptation to respond to all of this change by looking for someone with a highly technical background. That can be a mistake.
Someone can understand robotics and automation and still not know how to run a warehouse. They may not understand how inventory problems affect fulfillment, how labor decisions affect productivity, or what actually happens when a process that looks good on paper breaks down on the floor.
The strongest candidate may not be the most technical person in the market. It may be someone who understands warehouse operations and has the ability to work effectively with the technology being introduced.
That combination is becoming more valuable.
The changing skill requirements also make the way you search for talent more important.
A job posting only reaches people who are actively looking or happen to come across the opportunity. Some of the people you actually want to hire are already employed, performing well, and have no reason to spend their time applying to jobs.
If you are looking for someone who understands warehouse operations, has experience with automation, can work with data, and can lead a team, that combination can be difficult to find among active applicants alone. You may need to reach passive candidates directly.
That can mean employee referrals, targeted outreach, relationships within the local manufacturing and logistics community, or working with a recruiter who already knows the market. The point is not simply to get more resumes. It is to reach people who would never have applied in the first place but may be open to the right opportunity.
Before opening the next warehouse search, take another look at what the role actually requires. The job description should reflect the technology the person will use, but it should also describe the operational judgment the person will need to bring to the role.
Ask:
Does this role require experience with a specific system, or do we really need someone who can learn new systems quickly?
Does our interview process test problem-solving and judgment?
Can the candidate use data to make operational decisions?
Can they lead employees through changes in technology and processes?
Are we still looking for the same skills we would have prioritized five years ago?
Does the person understand the warehouse itself, not just the technology running it?
These questions can help companies avoid hiring against an outdated definition of warehouse talent.
They can also make the search more focused from the beginning. A strong supply chain search strategy starts with understanding what the company actually needs, then building the search around that.
The warehouse of the future will not simply be a warehouse with more robots. It will be a different operating environment, with more automated work, more data, and more technology involved in everyday decisions.
That means companies investing in warehouse technology also need to rethink their talent strategy. The goal is not to replace warehouse experience with technical skills. It is to find people who understand the operation, can solve problems, work with technology, and adapt as the operation continues to change.
The companies that rethink that talent profile now will be better positioned to get the full value from the technology they are investing in.
Working with a warehouse recruiting firm like SCOPE can help companies find warehouse and supply chain professionals who understand the operation and can adapt to the changing demands of the industry.
Look for a combination of warehouse experience, problem-solving ability, technology comfort, data skills, and adaptability. Candidates do not necessarily need experience with every system or automation technology your facility uses, but they should be able to learn new tools and use technology to make better operational decisions.
Automation is taking over more repetitive and predictable tasks, while employees are increasingly responsible for monitoring systems, handling exceptions, solving problems, and making operational decisions. This means warehouse roles are becoming more dependent on judgment, technical comfort, and the ability to work alongside automated systems.
Not every warehouse employee needs to be an AI expert. However, employees and leaders should be comfortable learning new technology and using systems that increasingly support planning, inventory, scheduling, and other operational decisions. For leadership roles, the ability to understand and act on technology-generated information is becoming particularly valuable.
Warehouse managers should look beyond specific software or equipment experience. Strong candidates should understand warehouse operations, know how to solve problems when things go wrong, be comfortable using operational data, and have the ability to adapt as technology and processes change.
Not necessarily. The strongest warehouse candidates often combine operational experience with the ability to work with technology. Someone may understand automation well but lack the practical knowledge needed to run a warehouse effectively. The goal should be to find people who understand both the operation and the technology changing it.
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