Processes that deliver greater performance with better utilization of space, people, and equipment.
We don’t start with technology. We start with the problem that needs to be solved.
Codel was founded in 1991. Over three decades, we have worked on projects in manufacturing, logistics, warehousing, and the digitization of industrial processes. Technologies have changed, but the industry’s questions have remained the same: how to increase productivity, maintain control, and grow without sacrificing efficiency.
From the earliest systems for identification and data collection, production and warehouse management, to robotics, automation, and artificial intelligence, Codel has evolved in step with the industry.
First understand the process, then design the system, and only then choose the technology.
The way we apply this approach today has been enhanced by experience from real-world projects, new technologies, engineering expertise, and an understanding of how industrial systems operate in day-to-day operations.
When it comes to robotization or automation, it’s natural to first think of robots, software, or artificial intelligence. But technology by itself doesn’t solve the problem.
We’re not looking for technology to which we’ll adapt the problem; we’re looking for a solution that fits the user’s actual process. The usual approach starts on the right, with technology; we start on the left, with the problem.
The real challenge is understanding what’s constraining the business and how to mitigate it. That’s why we always start with process analysis – where bottlenecks occur, where time is lost, and where costs arise.
Only then do we propose a solution: software, a robot, or simply a process change.
Industry doesn’t buy robots, automation, or warehouse software as an end in itself. Industry invests in measurable business and operational results.
Processes that deliver greater performance with better utilization of space, people, and equipment.
More stable material flows, less waiting, and more predictable execution of operations.
Systems that reduce improvisation, manual interventions, and operational risks.
Clear control over materials, operations, orders, and data throughout the process.
Less unnecessary work, better organization, and more efficient use of resources.
Solutions that support growth, change, and future phases of digital transformation.
The greatest value of experience is not just knowing what to do – but also what not to do.
A technologically impressive solution isn’t always business-justified. We choose what really delivers results.
Without a clear problem, automation brings no value. You need to define the problem first, and only then the technology.
A system can be more complicated than it needs to be. The best solution is the simplest one that works.
The project can easily lose touch with actual operational needs. The solution must remain in touch with the work on the ground.
Our job is to find the best solution for a specific problem, not just sell technology.
A good solution must satisfy three conditions simultaneously. It must be technically feasible — able to be designed, integrated, and deployed. It must be operationally efficient — actually improving day-to-day work. And it must be economically justified —the investment makes sense in relation to objectives and development.
If one of those elements is missing, the system will not deliver the expected results in the long run.
In addition to creating solutions that look good in a presentation, we actively participate in analysis, design, development, integration, and implementation.
We develop every concept with an understanding of how it will be implemented, used, and maintained in a real-world setting.
Our goal is not to produce documentation, but a system that works and delivers results.
Over the years, we have participated in projects involving manufacturing systems, warehouse logistics, traceability systems, automated warehouses, mobile robotics, transport and sorting systems, manufacturing digitization, and the electronics industry.
Our experience encompasses industrial processes of varying levels of complexity — from individual workstations and production lines to complex logistics and information systems. Codel’s experience also includes software solutions used within the Airbus supply chain environment, where reliability, traceability, and process control are key system requirements.
Before we propose any solution, we want to understand how you actually work. Then we openly explain what brings benefits, where the limits are, and what the real risks are.
We don’t propose what sounds good; we propose what can actually be implemented, and we take responsibility for making it work.
Our support doesn’t end the day the system goes live. We stay with you and grow together with your business.