Digital­iza­tion and AI are transforming the egg sector

A poultry house full of sensors does not automatically lead to better decisions. Data must also come together at the right time. According to RaboResearch, this is the egg sector’s next step. The focus is not on more standalone technology, but on smart connections throughout the value chain. This creates opportunities for companies that combine production expertise with strong digital capabilities.

Digitalization becomes a production asset

The sector has made steady progress through genetics, nutrition, and animal health. Housing, farm management, and automation have also improved performance. These areas remain important for animal health and production efficiency. They also determine egg quality and flock performance.

Digital technologies and artificial intelligence are taking on a larger role. Sensors, computer vision, robotics, and automation support various business processes. They can improve labor efficiency and make processes more consistent. They also support health monitoring, welfare assessment, grading, and traceability.

Digitalization is still at a relatively early stage in the egg sector. Adoption varies by region, production system, and company size. The level of value chain integration also affects the use of digital technologies.

A changing market calls for technology

Labor is becoming harder to find, while disease risks remain high. Feed and energy costs are also volatile. Requirements for sustainability, animal welfare, and transparency continue to increase.

Smart technology can make business processes more measurable and predictable. According to RaboResearch, human expertise remains essential. Technology complements existing production knowledge and professional judgment.

Data must come together

The greatest opportunities arise when systems collaborate across the value chain. This includes data from genetics and hatcheries to logistics and retail. Much of this data already exists, but systems share it only to a limited extent.

Demand-driven production provides a practical example. Flock forecasts, grading results, inventories, and customer demand come together. This creates a single planning chain for production and sales.

This requires agreements on data ownership and management. Different systems must also be able to exchange information. RaboResearch developed this perspective with the World Egg Organisation. Experts from different regions and disciplines also contributed.

Rabobank.nl