Decision-Making Optimisation in Beef Supply Chain

The beef supply chain is a complex system, involving crop farms, livestock farms, feedlots, transporters, slaughterhouses, retailers and consumers. Events occurring at farm level have huge effects on industry, consumers and other stakeholders, and vice versa. Nowadays, traceability systems collect some data from every segment of the supply chain, mainly to assure food safety to consumers. However, the potential for data sharing along the supply chain is much bigger than that. Shared value systems based on integrated data allow every segment of the supply chain to improve production efficiency and product quality. The main objective of this use case is to foster a technological framework, based on IoT, Open Data, Big Data and Blockchain, facilitating data sharing along the beef supply chain to improve decision-making and consumer trust.




connected animals


total work effort

Specific goals 

  • Improve productivity and quality of crops for animal feeding;
  • Optimise animal production, health and welfare at farm and feedlot;
  • Improve work-life balance in crop and livestock farming;
  • Optimise animal welfare during transport and slaughtering;
  • Decrease consumer mistrust on EU beef products;
  • Build shared value along the beef supply chain.

Expected results

  • Fertiliser and water consumption -10%
  • Reproduction rate >90%
  • Animal losses <5%
  • Average fattening days -15%
  • Selling price through certification +10%
  • Total work effort -15 %

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