When automation projects fail, it’s rarely because of the technology. More often than not, it comes down to how well people are involved in the change process. That’s according to Azadeh Pourjanaki, who has been leading Consafe Logistics’ Nordic operations since April of this year.
“Automation is just as much an investment in people, organizational development, and change as it is in technology. That’s why it’s important to ensure that people, skills, and technology develop together,” she says.
For a company that has been implementing warehouse systems for hundreds of customers for decades, the pattern is clear. The biggest risk in an automation initiative rarely has to do with the technology. Azadeh gives examples of situations where software projects face resistance from warehouse staff who haven’t been involved in the change. When automation enters the picture, that resistance often intensifies even further, as staff become concerned that their own jobs will disappear.
– Major technological changes create uncertainty for many people, even when automation isn’t involved. When a customer transitions from pen and paper to a WMS, or from a simple in-house system to something modern, change management is essential for success.
The Warehouse as a Strategic Arena
The driving forces behind the rapid technological shift are well known: increased customer demands for speed, flexibility, and precision. Supply chains have become increasingly unpredictable, with crises often triggering new crises. And in a competitive landscape where inventory has established itself as a strategic competitive advantage.
– We’re seeing a clear transformation in which warehouse operations are shifting from labor-intensive, manual processes to highly automated, connected, and intelligent production environments. But it’s no longer primarily about reducing labor costs. It’s about creating scalable, robust, flexible, and efficient workflows that can handle increasing complexity,” explains Azadeh.
Humans in an Integrated System
Contrary to various predictions of fully automated warehouses devoid of staff, Azadeh envisions a future where people, AI, and machines work together.
– There’s a misconception that the warehouses of the future will be fully automated, with no people involved. We don’t share that view. The more complex an operation becomes, the more important human decision-making becomes.
She refers to the concept of ”Human-Robot Collaboration” as a framework for how the warehouses of the future should be designed. The point is that the roles complement each other, rather than compete.
– Automation and robots are highly effective when it comes to repetitive, predictable, and physically demanding tasks. Humans, on the other hand, will continue to be essential when it comes to flexibility, judgment, creativity, and problem-solving. Azadeh believes that returns processing is a good example of what this interaction can look like.
– Robots can optimize transportation and the flow of goods in warehouses. But when it comes to assessing each return, it’s human judgment that determines its value. Is the item damaged or not? What condition is it in? Can it be resold? This requires experience and flexibility that technology cannot replace in the foreseeable future.
New Opportunities, New Roles
As automation takes over repetitive and physically demanding tasks, the roles of warehouse staff are changing. In many ways, this is for the better, according to Azadeh, but it involves different tasks and goals.
– Automation creates safer work environments, reduces physical strain, and leads to more skilled, attractive roles that often provide employees with good opportunities for professional development.
This also changes the type of employees being sought—and, conversely, who is applying for these new warehouse jobs. Now there is a need for more employees with knowledge of technology, data, and optimization, where AI is becoming an increasingly important part of the process—not as a replacement for humans, but as a support.
– AI analyzes data, identifies patterns, anticipates disruptions, and optimizes processes in real time. But AI doesn’t replace people; rather, it enables warehouse staff to make faster and more informed decisions. Their role is evolving from performing manual tasks to acting as operators of intelligent systems, says Azadeh.
But data quality is the deciding factor
Behind this entire development lies a factor that Azadeh believes is often underestimated: data quality. For automation and AI, data isn't just a complement—it's the foundation.
– Automation and AI rely on accurate, coherent, and real-time data. Without high data quality, even the most advanced technical solutions risk failing to deliver the expected value. This means that companies must move away from silo-based and reactive approaches toward integrated and data-driven processes.
She believes this development redefines where competitive advantages are actually created.
– Competitive advantages are no longer driven primarily by the degree of automation, but by the ability to transform operational data into insights and better decisions. Automation and AI are only as effective as the quality of the data used.
Success isn't about automating as much as possible
For Azadeh, all the pieces fit together—data quality, the new role of software, the breadth of expertise, and change management. It’s when the whole system works that value is realized.
– The most successful businesses aren’t the ones that automate the most, but the ones that automate the right things. It’s about identifying which processes generate the most value when automated, while ensuring that people and technology complement each other in the best possible way
Azadeh Pourjanaki has worked at Consafe Logistics since 2017. She began as software manager and later took charge of one of the company’s Swedish customer groups. In January 2024, she took over responsibility for Norway, Finland, and Denmark, and in April 2026, she was appointed head of Consafe Logistics’ entire Nordic operations.
Text and interview by Marika Karlöf and Stefan Karlöf
