Sewing rooms do not need fewer people: it needs more intelligence in it.

For decades we have heard the same message: to compete with the East we must reduce the cost of labor or replace seamstresses with machines. The promise of full automation periodically reappears like popcorn popping here or there and usually accompanied by spectacular technological demonstrations and announcements that seem to anticipate the end of human work in garment.

However, the reality of production plants is still very different.

Why?

Because sewing is not simply about moving a fabric under a needle.

An experienced operator continuously processes an enormous amount of information. Your fingers, all over your skin, have four types of nerve endings (sensors) that can sense pressure, texture, temperature, friction, tissue tension, etc. They detect when one layer begins to slide, when another offers a different resistance, or when a small deformation needs to be corrected before reaching the needle. Their eyes anticipate the behavior of the material and both hands act independently, making hundreds of microcorrections per minute with a precision that is almost invisible to those who do not know the trade.

All of this happens thanks to an extraordinarily complex sensory and motor system, perfected over the eons of life evolution and refined by the experience of each operator.

Reproducing that capability, with more than twenty degrees of freedom and its complex system of sensors, does not mean building a robotic arm. It means integrating sensors (diversity vs. available space), actuators (motor each degree vs. available space), artificial vision and intelligence capable of interpreting and reacting, in real time, to a labile, flexible, changing and difficult to control material. With the current state of technology, that challenge continues to be limited to very specific, simple, carefully controlled, and continuously repetitive applications; On average, today it accounts for no more than 20% of all applications in the sewing industry.

But perhaps that is not the right question.

While the industry concentrates enormous resources trying to automate one of the most complex operations of the entire process, millions of production hours continue to be lost in internal transportation, material handling, waiting, information search, rework and organizational deficiencies. That is, in activities that can be optimized with the technology available today. I do not doubt that one day we will reach high degrees of automation, but today the technical conditions still do not make an increase in automation feasible because, simply, the aggregate investment cost becomes sidereal for each small immaterial improvement.

This is where the Broad Concept is born.

He does not propose to compete against the intelligence of the seamstress, but to multiply the value of his work. Every minute that an operator stops wasting waiting for materials, correcting avoidable errors or making unnecessary trips is transformed into a minute dedicated to the only activity that really adds value: sewing with the skill that no generalist machine has managed to reproduce.

For a long time the West has tried to compete with the East on the wrong ground. The advantage will not come from manufacturing at lower wages or from pursuing full automation that still has enormous limitations and is not expected to be viable in the very near future. It will come from building smarter factories, where technology eliminates waste, streamlines the movement of materials, digitizes information, and allows people's knowledge and experience to produce much more.

The question should no longer be how to replace the seamstress, but how to ensure that each seamstress can generate much more value.

That difference in approach may define the competitiveness of the garment industry for decades to come. And, perhaps, to demonstrate that it is still possible to produce with quality, innovation and profitability without renouncing human talent, but enhancing it through the right engineering and technology.