AI, an ally to produce more in manufacturing and accelerate nearshoring in Mexico

For example, if a plant has a capacity of 1 million tons per month and that demand grows by 30 to 50%, you have two options: one is to open a new plant, invest in CAPEX and millions of dollars for a new plant.

The issue is that a new plant takes between three and five years between construction, regulatory permits and testing.

And the second, in which AI comes into play, if a plant has an operational efficiency of 70%, its infrastructure capacity can be maximized at a level of 95%, with intelligent supervision and process automation.

In that aspect, what Allie does is connect all the machines to the cloud to track operational efficiency in the equipment and production lines, pull all the data from the machines, aggregate it and train both predictive and of generative artificial intelligence that help prevent stoppages and make the necessary decisions to increase the efficiency of the line.

“Efficiency increases 15-17 points on average, so now I have more production that can be used to meet the growing demand that is causing the nearshoring effect,” explains Alex Sandoval.

He adds that this is relevant in the context that Mexico has become the main trading partner of the United States, and that what is coming out of production in China represents almost 800 billion dollars, in which the country is the main candidate to meet all that demand.

Allie’s CEO says that in Mexico some industries are beginning to take off in digitalization, but there are others that are lagging behind, such as steel and electrical equipment.

“Today we work with companies where the General Management really has a chip to advance in technology and they precisely have digitalization committees, (…) to be able to increase efficiencies throughout the entire process and be more competitive, this implies that There is investment dedicated to enabling equipment, data, investing in network infrastructure, in cloud products, in software. There are other companies that are on the opposite side, they are analog factories, that do not have data, old machines where everything is done. by hand,” he points out.