Economic Simulator for Transforming Legumes and Canned Goods in Brine

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The Economic Simulator for Legume Transformation and Pickled Products is a tool designed for food producers, farms, and artisanal laboratories that wish to analyze the economic profitability of transforming legumes (beans, chickpeas, lentils, peas, etc.) into jars or canned preserves.
The app allows for precise and immediate calculations of costs, yield, revenue, and margin, supporting efficient management of the processing operations.

Purpose and Usefulness

This simulator is useful for understanding the actual cost of producing a legume preserve and for determining the minimum or ideal selling price based on the costs of raw materials, energy, brine, packaging, and labor.
In just seconds, it provides a clear economic overview for planning and improving production.

Main Features

• Input of key data:
  • quantity and price of legumes (dried or fresh);
  • transformation yield;
  • costs of water, salt, energy, containers, and miscellaneous expenses;
  • selling price of the finished product;
• Automatic calculation of:
  • finished product obtained (kg);
  • total production costs;
  • unit cost (€/kg);
  • estimated total revenue;
  • net economic margin and percentage;
• Clear summary in a container with class “result”, with a button to copy the results.

Practical Advantages

• Provides a quick view of real costs and margins;
• Allows comparison of different recipes or transformation techniques;
• Helps plan sustainable selling prices;
• Ideal for small producers and artisanal supply chains looking to optimize profitability.

Areas of Use

Perfect for:

• laboratories and farms producing legume preserves;
• agro-food cooperatives;
• technical consultants and production cost analysts;
• entities managing in-house or contract productions.

Conclusions

The Economic Simulator for Legume Transformation and Pickled Products is an essential tool for evaluating the convenience and economic sustainability of food transformation.
It enables decisions based on concrete data, improving the economic and production management of processing operations and supporting a more efficient, aware, and profitable supply chain.

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