Seven decades after its arrival in Mexico, John Deere is transforming its operations in the north of the country by moving from traditional automation to predictive manufacturing. The interconnection of equipment, real-time data and algorithms allow you to anticipate failures, improve efficiency and increase the competitiveness of your plants.

Of interest: Industrial demand in Aguascalientes rises 38% during July–August 2026

Gerardo Mendoza, John Deere Manufacturing leader in Mexico, has accompanied this evolution for almost three decades: from paper logs to digital platforms, robotics and autonomous vehicles.

Check here: Reynosa’s industrial supply increased by over 75,000 m² year-over-year

Immediate information accelerates continuous improvement by allowing technology to detect deviations and propose adjustments to keep production within standards. The challenge is to identify which tools add value and incorporate them in a sustainable way. For Mendoza, artificial intelligence and machine learning must respond to specific manufacturing needs, not be adopted just because they are available.

At Solili, you can find available warehouses in: Ciudad de México, Monterrey and  Ciudad Juárez

Original Note