Caso de éxito

Digital energy management, a competitive advantage for the Mexican agro-industrial exportation leader

One of the largest agro-industrial groups in Mexico, with operations in 7 states and exporting 80% of its production to the USA, Europe, and Japan, has clear objectives to continue to differentiate itself and beat the competition. Operational excellence is at the center of their objectives; however, the optimization of energy intensity in each of the processes has taken on greater relevance as a differentiating factor for sustainability and costs. Together, we initiated a comprehensive energy management project, which expanded to manage water resources. With +1,000 IoT measurement sensors and analysis of the energy consumption in correlation with the operation, we have optimized the energy intensity in 6 fresh produce co-packing plants, having a continuous evolution in the program and the results generated.
One of the most important challenges for this conglomerate is to adapt its operation to Industry 4.0. Unlike competitors that focus only on the local market, international customers can have more demanding norms, that require higher operational and quality standards. So are the increasingly stringent regulations in advanced markets governing carbon footprint and tariffs on imported products. Energy and water digitization is an initial step in measuring and reporting energy intensity indicators, however, the central challenge comprised turning data into insights, and insights into actionable information on a day-to-day basis for operations at all co-packing plants. Working together, S2G Energy, operational and corporate teams have implemented changes that have optimized processes and decreased energy consumption of heavy machinery, refrigeration, and production equipment. Digitalization has also favored the flexibility of the operation and remote work, responding to the changes necessary to respect the measures against COVID-19 and sustain production levels.

Improving efficiency and optimization of energy and water intensity in each ton of packed fresh produce.


Monitored and management 1.3 GW of loads through +1,000 IoT sensors in 6 production plants.

Correlation between energy consumption in critical equipment and packaging volume to identify and implement operational improvements.

Optimized energy intensity per unit produced, in a joint effort, with the maintenance and production areas

Avoided the consumption of 17.26 GWh over 23 months of operation.

Established intelligent maintenance, avoiding stoppages in the production lines.

Reduced the peak demand by reducing the use of equipment during peak hours.


9% economic savings versus the base year

$23 million MXN Economic savings

14% Economic savings vs. 2020 budget