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Solution specialists for compound feeds and animal production

BY AREA OF ACTIVITY
  • CLOUD SOLUTIONS
  • PREDICTIVE SYSTEMS
  • BUSINESS INTELLIGENCE
  • OPTIMIZATION
  • PRODUCTIVE PROCESSES ANALYSIS
  • INTERNET OF THINGS
  • SYSTEM INTEGRATIONS

Digital transformation for the agrifood sector

Purchase Assistant

*Purchase Assistant*

Agrifood Alternative Technologies

Analize raw material consumption and costs, anytime & anywhere

Efficient and novel solution for raw material buyers and decision makers in the feed and premix production industries

DESCRIPTION

Purchase Assistant interacts with your Brill ® Formulation program, easing the visualization of production scenarios and raw materials consumption. The solution automatically detects risk areas that require decision making during the purchase process of raw materials. Purchase Assistant also allows users to analyse the consequences of maintenance and updates in the production formulas, and its repercussion on margins and costs.

FEATURES

Purchase Assistant provides the following functionalities:

- Multi-formula solutions, imported from Brill ® Formulation.
- Visualization of production scenarios and raw materials consumption.
- Anticipate consequences and cost impact of changes & maintenance in production formulas.
- Graphic visualization of production volumes and costs per formula, ingredient and nutrient.
- Agile and fast access to newly imported solutions and latest changes.
- Ingredients segmentation and visualization per category and ingredient type.
- Results and raw materials information available anywhere, using any device (either via web browser or App).
- User friendly and simple to customise, the solution operates with assistants to facilitate the integration with other business systems (ERP, MRP, MES, etc.).

Purchase Assistant (PDF)


POSICIONING

Ideal solution for raw material buyers and decision makers in the feed and premix production industries. The solution will allow companies to easily detect risk areas that require decision making during the purchase process of raw materials, and analyse the repercussions on margins and costs during updates in the production formulas.


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