CECOAGRO

Design an Artificial Intelligence–based system focused on optimizing and automating traceability management, inventory control and demand planning of agriculture products using a centralized data space specialised in agriculture sector.

The system will consolidate information from multiple sources—such as ERP and CRM systems and IoT devices located in storage silos—overcoming current challenges related to data dispersion and fragmentation. Based on this unified data environment, the prototype will improve stock management and enable more accurate anticipation of market demand variations.

The solution will incorporate advanced Deep Learning techniques for time-series analysis, providing reliable predictions to support both operational and strategic decision-making.