Problem
Poultry companies focused on sustainability face a major challenge: how to ensure high production volumes and meat quality without the use of hormones and antibiotics. Traditional control methods are labor-intensive, costly, and often fail to deliver predictable results. As a consequence, profitability drops while the risks of flock disease and losses remain high.
Solution
InDevLab partnered with an agricultural holding to launch a digital poultry farming program powered by Big Data and AI. Our team implemented a predictive analytics system that enables raising healthy poultry in clean conditions with minimal human intervention. Key solution components: Data collection and processing on flock health, feed, and living conditions Big Data platform for behavior and condition analysis AI modules for early disease detection without medication Automated control of feeding and climate conditions Dashboards for flock management and growth forecasting Scalable database for long-term analytics This solution replaced “chemical” methods of flock support with digital monitoring tools, improving sustainability and transparency of production.
Result
The implementation of AI and Big Data ensured sustainable growth in production without hormones or antibiotics, while reducing operational risks and costs. Project achievements: 30% reduction in poultry disease rates thanks to predictive monitoring 18% improvement in feeding efficiency via AI-driven analytics 100% compliance with international sustainability standards (ISO 22000, HACCP) Full transparency of the production chain — from feed to final product Increased trust from consumers and partners Conclusion: The project proved that AI and Big Data can enable poultry farming without growth stimulants while maintaining both product quality and business profitability.