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Efficiency and autonomous future in feed through artificial intelligence (AI)

14 April 20261 min reading

The digital transformation in feed production, stretching from sensors to silos, is evolving data from a mere recording tool into a strategic raw material. For an industry caught between raw material volatility and rising costs, AI-powered autonomous systems and analytical layers offer the key to sustainable profitability and operational excellence.

The feed industry has reached the limits of traditional management models due to biological variables, logistical bottlenecks, and high volatility in commodity markets. In this complex landscape, merely collecting data is no longer enough; transforming it into a ‘decision-making intellect’ has become a fundamental requirement for survival in global competition.

In our cover story, we blend Aidan Connolly’s vision for an autonomous future and the necessity of strategic change with M. Erman Türkkan’s operational AI solutions that curb inventory costs in the Turkish market. We demonstrate to our readers how the high-speed impact of AI—from sensor data in silos to ‘hidden inventory’ analysis in ERP systems—can be integrated across all production lines. It is increasingly recognized that technology is not just a tool, but a new business culture that eliminates the margin of error at every stage of feed production and secures profitability.


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