Automated weight recording, slaughter forecasts and feed use

Granovit AG

The challenge - increasing transparency in materials management

GRANOVIT AG stands for pet food of the highest Swiss quality. Sustainable feed production and healthy animals are its greatest commitments. From the cultivation of raw materials to production and feeding with over 90 years of experience in animal nutrition. Granovit was confronted with a confusing material procurement process that required a lot of internal coordination. A lack of transparency and long processing times made it difficult to plan and order materials. Particularly challenging was the lack of overview of which materials were needed when and in what quantities, which significantly delayed process coordination.

 

The implementation with iDIP - automation of the material ordering process, real-time transparency and error reduction through system integration

The following functionalities were introduced with the implementation:

  • App with connection to weighing system: Connection of the weighing system via Bluetooth to the app for recording weight data.
  • Web portal: Portal for customers, weighers and administrators to manage and view data
  • Data reference via TVD: Integration of animal master data for accurate weight recording
  • Customer management: Management of customer and livestock data for a better overview.
  • Reporting weight history: Automatic reporting of an animal's weight gain over time.
  • Slaughter forecast reporting: Forecast of the optimum slaughter weight based on recorded data.
  • Identity Provider: Integration of Rey Identity Management (Keycloak) for secure login and user management.

Results achieved - more accurate planning thanks to automated weight recording and more precise slaughter forecasts

The use of iDIP makes it quicker and easier to record the weight of animals using the integrated weighing system. The app is used to record an animal's TVD number, valuation and weight. This information forms the basis for meaningful reports on weight progression and optimal slaughter forecasts. This automation means that the use of feed and the time of slaughter can be planned much more precisely and reliably.

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