Agro: Initial Data—Sample data areas:

• Herd age: Data on the age structure of animals, enabling precise estimates of feed needs, milk production, and other breeding parameters.
• Initial quantities: Information about the number of each animal group at the start of the month, forming the basis for further production analyses.
• Type of insemination: Choice between sexual or asexual insemination, which affects the herd structure in the long term.
• Harvests from the previous year: Data on yields from individual crops, including details about available tons of grain and other plants retained from the previous season.
• Costs and prices: Determining technical costs and prices for individual crops, allowing ongoing profitability calculations.
• Remaining feed and straw resources: Information about remaining feed and straw resources, including tonnage, technical cost per ton, as well as weight and parameters related to bale packaging.

Agro: Initial Data—Module functionalities:

Preparation of initial state:

• Entering data on herd age and quantity, structure of feed, straw, and crops at the start of analysis.
• Enables precise adaptation of the model to the specifics of the farm.

Stock analysis:

• Monitoring leftovers from the previous year, including exact information on quantities and costs.

Expense management:

• Setting unit costs and prices which serve as the basis for further financial calculations.

Investment scenarios:

• Data entered in this module can serve as a foundation for optimization scenarios, e.g., management of feed and straw resources.

Optimization of crop and livestock planning:

• Facilitates efficiency analysis and determination of potential costs depending on different crop and breeding strategies.

The module features a dynamic cost-setting function based on various fertilizer types such as NPK, ammonium nitrate, urea, and others, as well as seed materials for specific crops. The user can view the per-hectare costs for each fertilizer and seed, allowing for precise budget planning in relation to actual crop needs.

Thanks to this module, an agricultural enterprise can easily forecast fertilization-related expenses several years ahead, taking into account changing prices and requirements for individual fertilizers. This module is a key element in optimizing crop production costs and enables a rapid response to market price changes for fertilizers.

The “Agro – Action Plan Cultivations Procedure & Material Demand” module is a key tool supporting integrated planning and monitoring of crop processes, which translates to more efficient farm production management.

It ensures full transparency in resource planning for each crop.

Production cost optimization is made possible by precisely determining material and service requirements.

Seasonal demand for fuel and materials can be analyzed using this tool.

It supports sustainable resource management through detailed analysis of how agricultural activities affect production costs and farm profits.

Analyzing the Impact of New Technologies and Machinery

The user can simulate introducing new machines with various parameters, such as fuel consumption or efficiency, which allows for assessing how these changes affect operational costs and production efficiency.

For example, the module makes it possible to estimate how more efficient machines may reduce fuel consumption, directly impacting production costs.

Defining Specific Tasks and Material Consumption

The module lets the user specify crop-related tasks—such as fertilization, plowing, sowing, and more—and the amounts of materials needed for each.

This enables precise cost planning and controlling material demand, supporting optimal resource utilization.

Substitution of Synthetic Fertilizers with Digestate

The module allows for modeling the impact of replacing synthetic fertilizers with digestate from biogas plants. With this feature, the user can analyze how reducing synthetic fertilizer use in favor of digestate affects costs and crop efficiency.

Such substitution may be financially advantageous and support sustainable development strategies by reducing costs and potentially improving soil quality.

AGRO: ACTION PLAN – FUNCTIONS

Planning agrotechnical activities:

The module allows you to define actions such as stubble breaking, liming, fertilization, sowing, applying plant protection products, and harvesting for each crop.

Determining fuel and material requirements:

Each activity is assigned fuel and material usage (fertilizers, seeds, plant protection products) for different seasons, enabling strict monitoring and analysis of resource needs and costs.

Costs of external services:

The module makes it possible to include costs for external services such as harrowing or silage compaction, allowing for more accurate expense prediction and budget planning.

Dynamic multi-year cost management:

Each cost and material parameter can be set for a five-year period, enabling forecasting and optimization of expenditures.

Monitoring impact on costs and profitability:

The module allows analysis of how different cultivation strategies affect overall production costs and profitability, considering variables such as fuel and material amounts, costs of external services, and raw material prices.

Seasonal planning optimization:

Planning fuel and material requirements for individual actions in specific seasons ensures precise adaptation of the production process to seasonality and resource availability.

Flexible management of various crops:

With the ability to customize activities and material requirements for different crops, the module is versatile and flexible, allowing full adjustment to the specifics and scale of any farm.

Assigning Subsidies to Crops.

The user can indicate which crops qualify for various subsidies and enter subsidy amounts for each year. This allows modeling of different financial support scenarios.

Production Cost Analysis.

The module calculates production costs before and after accounting for subsidies, providing a complete view of how financial support affects unit costs and overall financial performance.

EBIT Simulation (Operating Profit).

The user can run EBIT simulations for different scenarios, analyzing outcomes with and without subsidies. The module also allows calculating EBIT in situations where only part of available subsidies is received, making planning more realistic.

Calculating Margin per Ton of Production.

By factoring in subsidies, the user can calculate the margin per ton for each crop. This makes it easier to understand which crops are the most profitable with a given level of financial support.

Agro: Dotations – Example of Use.

A user growing wheat can enter data about subsidies and investments needed to achieve specific production goals. The module will calculate production costs per ton, taking the subsidy support into account, and indicate at what point production exceeds the break-even threshold. Based on this, the user can decide to expand or reduce a given crop, optimizing economic and financial strategy.

The Agro – Dotations module is an advanced planning and financial analysis tool, supporting farmers in strategic crop management with the assistance of external funding.

AGRO: CULTIVATIONS & MARKET OPERATIONS – FUNCTIONALITIES

Dynamic profitability calculation:

Thanks to the ability to enter current market prices for each crop, the user instantly receives information on production costs per ton and the actual profit margin achievable. This enables real-time decision-making, responding to changes in prices or production costs.

Integrated cost analysis:

The module automatically includes all direct and indirect production costs, allowing precise calculation of the total production cost for each ton. This tool provides a complete picture of profitability, with the resulting margin taking all financial aspects into account.

Precise cultivation area analysis:

The ability to assign hectares to selected crops, with an additional option to define the percentage realization of the planned yield. The user can then see what resources are engaged and what results can be achieved.

Sales forecasts:

The module enables specification of the percentage of harvest intended for sale, which allows quick calculation of the amount of product that will go to market and what will be used internally. Any surpluses are automatically allocated to the feed warehouse or inventory, supporting stock control.

Intelligent inventory management:

The portion of the harvest not intended for sale automatically goes to the feed warehouse and inventory (enterprise balance sheet), allowing optimized internal resource management without manual calculations.

The module is not only an analytical tool but also a practical guide to effective farm production management. Thanks to integration with other AGRO section modules, the user gains full control over the cultivation process—from planning to sales, with the ability to thoroughly analyze each step and react instantly to changing market conditions.

The Technical Cost module enables precise management of crop costs and revenues, as well as optimization of cost structure based on actual and forecast data. Thanks to integration with other AGRO modules, the user can dynamically adjust production plans in response to changes in market prices, available subsidies, or resource costs such as fuel.

This module is an essential tool for profitability planning and analysis, supporting users in making effective strategic decisions.

Direct and Indirect Cost Calculation:

Each crop receives a detailed report on direct costs, such as diesel fuel, fertilizers, and plant protection products, as well as indirect costs, such as land financing costs or rent. This detailed data enables precise tracking of expenditures and budget optimization.

Cost per Ton of Production:

The module automatically calculates the production cost per ton based on direct and indirect costs. This allows the user to quickly see the real production costs for each crop, which is crucial for profitability analysis.

Margin and Market Price Analysis:

Based on the entered market prices, the module calculates the margin per ton and total revenue from each crop, taking into account the quantities allocated for sale. The module dynamically indicates which crops are most profitable, enabling strategic production planning.

Subsidy Integration and Impact on EBIT:

The module offers financial results simulation at various subsidy levels. Depending on the available subsidies (from 1 to 6), the module recalculates EBIT including financial support, showing its impact on the profitability of each crop. This lets the user see how various subsidies affect the final financial result.

By-products:

The module takes into account by-products, such as straw or sugar beet pulp, along with their production costs and market values. This feature allows more complete utilization of by-products, which can supply the warehouse or generate additional income.

HERD: STRAW BEDDING – FUNCTIONALITIES

Daily Bedding Recipe:

The module allows you to set the basic daily straw requirement for each animal class, such as “Milking cows,” “Heifers,” or “Dry cows.” This enables precise planning of straw consumption for each group based on their numbers and specific needs.

Quarterly Consumption Forecast:

The module shows quarterly straw demand, taking into account changes in herd size and status. This enables dynamic adjustment of the bedding consumption plan and securing sufficient straw stock in storage.

Internal and Operating Costs:

The module calculates straw usage costs per animal group for each quarter, providing a complete picture of operational bedding costs. These costs are calculated based on straw price data, dynamically computed own-production straw costs, and the amount used by each animal group.

Integration with Herd Management Modules:

The Straw Bedding module is closely integrated with other Herd section modules, allowing automatic updates of straw requirements based on cattle numbers and age classes. Any changes in the herd (e.g., increase in the number of milking cows) are automatically reflected in forecast straw demand.

Warehouse Resource Monitoring:

The module enables dynamic tracking of straw inventory used for bedding and feed. This allows real-time control of stock levels and adjustment of requirements to meet the current needs of the herd.

HERD: COW BARN ALLOCATION – FUNCTIONALITIES

Precise Group Allocation:

The module allows for assigning animal groups, such as milking cows, heifers, and dry cows, to the relevant buildings each quarter. Each group is assigned to a specific building (building ID), and the module displays detailed information about the number of animals assigned to each building, providing full control over herd distribution.

Dynamic Herd Population Management:

The module tracks changes in the number of each animal group across quarters, enabling up-to-date allocation adjustments. The numbers in each group are updated automatically, allowing the user to monitor increases and decreases in population and adjust space to evolving needs.

Density Index:

The module calculates the density index for each group of animals in a building, providing complete insight into space utilization. With this function, the user can monitor whether the number of animals in a building is optimal and meets husbandry standards, enabling rapid identification of overcrowding or unused space.

Flexible Building-Level Allocation Management:

Each building can be individually configured regarding animal numbers, allowing dynamic adaptation of spaces to different groups’ needs. The module enables precise animal allocation management, as well as monitoring building occupancy during any period, supporting optimal breeding planning.

Clear Allocation and Density Visualization:

All data is clearly presented, letting the user easily monitor the number of animals assigned to each building in each quarter and track which buildings are currently in use. This clarity enables quick identification of infrastructure adjustment needs or allocation changes in response to changing breeding conditions.

Module functionalities:

Registration of purchases, sales, and transfers

Every movement in the herd can be precisely recorded, with detailed parameters assigned to each transaction.

Production cycle tracking

The system automatically assigns cows to appropriate production stages based on their age and status, eliminating the need for manual cycle management.

Automatic determination of exit moment from the herd

The model identifies situations where animals reach the age or condition requiring departure from the herd, enabling optimal resource planning and accurate production forecasts.

Herd status analysis

Possibility to generate reports about the current herd composition, allowing assessment of age and production structure.

HERD: ORGANIC FERTILIZER OUTPUT – FUNCTIONALITIES

Precise Fertilizer Production Monitoring:

The module provides detailed data on the amount of manure (in kilograms) and slurry (in liters) produced each month. This allows the user to track monthly and daily fertilizer production levels from various animal groups, such as heifers, milking cows, and dry cows.

Daily Production Averages:

The module calculates daily manure and slurry requirements (in tons), allowing for more dynamic inventory management and day-to-day operational adjustments. The user can accurately determine daily fertilizer needs based on the number and classification of animals.

Integration with Herd Management:

The module is tightly linked to herd data, enabling precise calculation of fertilizer production based on the number and type of animals. For example, manure and slurry production for heifers, milking cows, and dry cows is dynamically updated according to herd size and production cycles.

Support for Fertilization Planning:

Information from the module can be used to plan organic fertilizer application in the fields, supporting sustainable soil fertility management. With precise data on available fertilizer quantity, the farm can make efficient use of natural resources and minimize the need to purchase additional chemical fertilizers.

Ease of Use for Sustainable Agriculture:

Module data helps users implement a sustainable agriculture strategy, where natural fertilizers from animal production can replace synthetic fertilizers. This gives the user full control over the quantity of fertilizer produced and allows for adjustment to the real needs of the field, supporting a more ecological and efficient approach to crop management.

HERD: VETERINARY SERVICES PRICES – FUNCTIONALITIES

Vaccination Schedule

The module includes a detailed vaccination plan according to animal age, covering various vaccine types and their administration frequency:

Brucellosis

Scheduled vaccinations at specific months of life, repeated every few years to maintain immunity.

Leptospirosis, Anthrax, BVD, IBR

Precisely scheduled vaccination months to effectively prevent these diseases and increase herd health protection.

Additional vaccines

Enable flexible addition of vaccines as required by farm management or specific health needs.

Life cycle monitoring

The module automatically analyzes animal age and assigns proper vaccination and procedure cycles, so the user does not have to manually assign a schedule for each animal. The system automatically handles the start and completion of vaccination/procedure cycles, eliminating the need for manual tracking of age and health status for each animal.

Adapting to start and end dates

The module automatically matches the schedule to specific start and end dates for each animal group, allowing the user to accurately monitor when prevention cycles begin and when completions or pauses are scheduled.

HERD: VETERINARY SERVICES PRICES – BENEFITS

Precise prevention planning

The vaccination and veterinary service schedule tailored to animal age enables effective disease prevention and minimizes herd health risks.

Process automation

Automatic assignment of vaccination and treatment cycles eliminates the need for manual schedule management and reduces the risk of errors.

Cost optimization

Systematic vaccinations and preventive procedures help reduce disease treatment expenses, improving farm profitability.

Flexibility in veterinary service customization

The ability to add custom services and adjust the schedule allows for personalized veterinary care to match the herd’s unique needs.

HERD: ILLNESS TREATMENT PLANNER – FUNCTIONALITIES

Defining treatment periods:

The user can set start and end dates for treatment of each disease unit (e.g., mastitis, lameness, ketosis). Specified periods allow flexible treatment management over time, which is crucial for maintaining animal health in the long term.

Treatment frequency planning:

The module enables monthly treatment frequency settings for each disease or therapy. These values can be adjusted to the herd’s specific health needs, e.g., monthly or every few months, depending on risk and requirements. The frequency function enables forecasting periodic treatment costs and better work organization.

Case count monitoring on a quarterly and annual basis:

The module allows analysis of the average number of disease cases in each quarter, with details on the number of animals requiring treatment during a given period. By viewing seasonal changes in case numbers, it is possible to more precisely manage resources and the veterinary budget.

Population analysis and treatment percentage forecasts:

The module shows what percentage of the herd population is at risk for each disease and what portion is being treated during each period. Information on forecasted treatment percentages lets users assess the impact of diseases on the entire herd, helping in decisions about potential preventive measures.

Personalized treatment plans for various diseases and therapies:

The user can create individual treatment schedules for different diseases, adjusting treatment frequency to each disease’s specific requirements.

Tracking operating costs:

The module generates treatment cost forecasts in relation to case numbers and treatment frequency. This allows precise planning of expenses and allocation of the veterinary budget.

HERD: DAIRY CYCLE – FUNCTIONALITIES

Planning Estrous and Insemination Cycle:

Estrous Cycle:

The module enables monitoring of estrous cycles and setting up consecutive insemination cycles, from the first to the seventh. The user has full control over the reproduction schedule, allowing precise planning and adjustment of insemination dates.

Insemination Technologies:

Ability to choose between different insemination technologies (e.g., conventional or sexed insemination). This lets the user match the insemination method to the herd’s development strategy.

Repeat Insemination Rate:

The user can set a repeat insemination rate, which is crucial for monitoring reproductive efficiency and increasing conception rates in the herd.

Automatic Calculation of Calvings and Costs:

The module automatically calculates calving dates based on entered insemination cycle data and the chosen technology. This provides users with forecasts of calving dates and resulting costs, taking into account both semen type and the applied technology (e.g., conventional insemination or advanced techniques). The system automatically calculates costs for each option, enabling analysis and selection of the most cost-effective solutions.

Based on this data, the module generates forecasts, allowing efficient planning and growth prediction for the herd. Each calving date forecast is linked to a cost estimate, which includes not only the insemination procedure but also all costs associated with semen type selection and additional costs resulting from the technology used.

For example, choosing sexed semen may generate higher unit costs, but at the same time increases the likelihood of heifer births, which can have a significant impact on the long-term productivity and structure of the herd.

HERD: DAIRY CYCLE – DEFINING THE LACTATION CYCLE:

Average Milk Production:

The user defines average milk yield values for each lactation cycle in the herd, rather than tracking individual daily production. These values cover lactation periods from the first to the seventh cycle, enabling general milk production forecasts.

Productivity Analysis:

User-defined averages allow estimation of total milk production across a month or quarter, which assists in resource planning and feed optimization for the herd.

Herd Loss Forecasting:

The module allows herd loss forecasting in specific waves (from first to ninth), where each wave represents a certain animal age and expected loss percentage in a given quarter. The user can enter percentage values for each wave, enabling better prediction and resource management.

Loss Analysis by Wave:

Loss forecasts are assigned to specific months of a cow’s life, supporting better planning, herd management, and quicker preventive actions to minimize losses.

HERD: DAIRY CYCLE – SAMPLE USE CASES:

Optimization of Insemination Schedule:

The module allows precise planning of estrous cycles and selection of insemination technologies, helping maximize reproduction efficiency and increase herd growth.

Milk Production Forecasting:

Defining average milk production for each cycle allows the user to plan feed demand and forecast milk income.

Herd Loss Management:

The ability to forecast losses in specific age waves allows natural herd attrition to be anticipated, facilitating resource planning and preventive measures such as improved health management.

The Dairy Cycle module provides a comprehensive tool for planning reproductive cycles and milk production in the herd, enabling management of both insemination scheduling and forecasting of milk production and herd losses. This lets the user efficiently manage resources and make better-informed herd development decisions, positively impacting the stability and profitability of milk production.

The Milk Production – Quarterly module provides the user with a complete overview of milk production with the ability to perform precise simulations of different technological and health scenarios.

By automatically recalculating the average daily production according to the cows’ age and lactation cycle, the module ensures accurate forecasts of production and revenue, supporting farm planning and financial management.

The introduction of virtual populations additionally enables analysis of the impact of new technologies and management strategies on the efficiency and profitability of milk production.

HERD: MILK PRODUCTION – FUNCTIONALITIES

Automatic Calculation of Average Daily Production:

The module uses data on cows’ milk yield depending on age and lactation cycle from the DairyCycle module to automatically calculate the average daily milk production. Based on this data, the system calculates milk output for each cow by age and cycle.

Integration with the Inventory Module:

The module automatically incorporates information on herd size and age structure from the Inventory module. Thanks to this, milk production is precisely calculated based on the actual number of cows of each age and lactation cycle, ensuring an accurate reflection of the herd’s current productive performance.

Quarterly Milk Production Forecast:

Based on daily output, the module generates quarterly forecasts, which enable effective planning of production and sales. The user gains a full view of the expected milk quantity for each quarter—accounting for seasonal fluctuations and herd dynamics.

Virtual Populations & Technological Scenarios:

The module allows the definition of virtual populations—supporting simulation of various production scenarios, including:

• Introduction of new milking technologies—analyze how new technology affects yield and profitability.
• Impact of diseases on milk production—assess potential production drops caused by herd health issues.

With this functionality, the user can anticipate which technological or managerial changes may deliver the best results, minimizing the risk associated with possible changes.

Automatic Revenue Calculation:

The module computes revenue based on forecasted milk production, enabling precise monitoring of financial results. With quarterly revenue forecasts, users can better plan budgets and optimize operating costs.

Performance Monitoring for Each Production Cycle:

The module tracks milk yield for every lactation cycle, enabling identification and optimization of weaker or more efficient cycles—supporting production management and optimal utilization of the herd’s potential.

Analysis of Herd Status Changes:

Thanks to integration with the Inventory module, the module dynamically responds to changes in herd size (e.g., cow growth or loss), allowing continuous adaptation of production forecasts to the farm’s real situation.

HERD: TECHNICAL COST – MILK PRODUCTION BENCHMARK – FUNCTIONALITIES

Detailed monitoring of costs and revenues:

The user can track all operational expenses related to milk production, such as feed, energy, straw bedding, fertilizers, insemination, and veterinary services. Additionally, the module gathers milk production revenue data, enabling full financial analysis of each production cycle.

Profitability analysis of production:

With the ability to monitor results on a monthly and yearly basis, the module supports long-term profitability analysis. The user can identify periods of higher or lower profitability and make changes to the production strategy as needed.

Incorporation of technological and process changes:

This module is designed with farm dynamics in mind—it allows process changes such as new feeding methods, milking technology updates, or insemination system optimization. This lets users simulate the effects of improvements and analyze their impact on costs and profit margins.

Comparison of results with previous years:

The module includes functionality for comparing results from previous years or any selected year. This lets users see how operational and technological changes affect the profitability and margins achieved in milk production; users can easily assess which decisions brought the best financial results.

Rapid strategy adjustment:

The module is flexible and supports financial simulations, allowing users to quickly respond to changing market or production conditions. As a result, the tool helps optimize costs and maximize margins while accounting for the specifics of each farm’s operation.

DEPRECIATION – FUNCTIONALITIES

Depreciation Method Selection

The ability to choose the depreciation method for each asset (straight-line, declining balance, or other).

Investment Adjustment

Automatic updates of depreciation for assets that have been improved or increased in value through investments.

Impact on Financial Results

Calculation of depreciation costs and their direct impact on the operating result and book valuation.

Net Asset Value Adjustment

Depreciation Reporting

EFAR – CAPEX & OFC FUNCTIONALITIES

Investment Management and Analysis:

• Support for investment projects as new assets or capitalization of existing ones, with division into six investment stages.
• Modeling investment costs for new projects and their impact on asset value.

Monitoring investment completion at each stage and analyzing impact on the company’s long-term strategy

Asset Operational Effects (OpEx):

• Calculation of operating costs related to fixed asset utilization.
• Analysis of energy consumption, fuel needs, maintenance costs, and spare parts.
• Assignment of operating costs to appropriate sections of the financial model for comprehensive OpEx analysis.

OFC: SERVICE – FUNCTIONALITIES

Assignment of service costs to assets:

The module allows detailed assignment of service costs to individual fixed assets, such as tractors, trailers, cattle management devices, or agricultural machines. Each piece of equipment is tagged with a unique ID to enable precise tracking of its maintenance costs.

Service schedule management:

With start and end date features for each asset, users can easily manage annual service schedules, aligning them with planned seasonal work. The module also accounts for cost variability across the year for optimized maintenance spending.

OFC: SERVICE – BENEFITS

Better control of service costs:

The module enables detailed tracking of servicing expenses, making budget control easier and highlighting areas for potential savings.

Optimization of service planning:

By forecasting service expenditures and assigning costs to months, the module supports optimal maintenance planning, minimizing risk of expensive downtime.

Support in cost allocation:

Dividing costs into departments allows for precise allocation of spending, supporting whole-farm budget management.

OFC: ELECTRIC ENERGY CONSUMPTION

Device Registration and Classification:

Each device or machine consuming electric energy is registered in the module and assigned to an appropriate category as well as a unique identifier (ID), such as EFAR ID and subcategory. This enables detailed tracking of operating costs for each piece of equipment, facilitating analysis and cost allocation.

Usage Date Range:

The module allows you to set the start and end date of usage for each device, enabling precise inclusion only for periods when the device is actively used. This ensures costs are assigned more accurately to their respective periods and allows for better future spending planning.

Maximum Power and Usage Profile:

For each device, its maximum power (kW), daily operating hours, and the percentage level of power utilization in various operating schemes are defined. This allows the user to analyze costs depending on the intensity of use for individual machines.

Monthly Analysis and Operating Schemes:

The module allows input of energy consumption data for each month with a distinction for different operating schemes (e.g., Scheme 3 and Scheme 4). This enables identification of seasonal patterns in energy consumption and better management of operating costs depending on the time of year.

Cost Allocation by Divisions and Projects:

Energy consumption can be assigned to various divisions, making it possible to analyze costs in detail across specific areas of farm operations.

The module also supports the allocation of costs to specific investment projects, enabling profitability assessment of particular investments through precise monitoring of energy costs associated with these projects.

OFC: ELECTRIC ENERGY CONSUMPTION – BENEFITS

Precise Energy Cost Control:

The module allows detailed monitoring of electric energy costs at the level of individual devices. This enables better budget planning and reduction of unnecessary expenses.

Optimization of Seasonal Operations:

With the capability for inputting detailed data at the monthly level, the user can better manage energy consumption in the context of seasonal fluctuations in agricultural operations.

Support for Investment Project Analysis:

Assigning energy costs to specific projects allows more precise assessment of individual investment profitability, which is crucial for making capital allocation decisions.

Increased Management Efficiency:

Thanks to the module, the user has full insight into energy consumption and can make informed decisions regarding energy efficiency, which is especially important in the face of rising energy costs and pressure for sustainable development.

Precise Energy Cost Control:

The module allows detailed monitoring of electric energy costs at the level of individual devices. This enables better budget planning and reduction of unnecessary expenses.

Optimization of Seasonal Operations:

With the capability for inputting detailed data at the monthly level, the user can better manage energy consumption in the context of seasonal fluctuations in agricultural operations.

Support for Investment Project Analysis:

Assigning energy costs to specific projects allows more precise assessment of individual investment profitability, which is crucial for making capital allocation decisions.

Increased Management Efficiency:

Thanks to the module, the user has full insight into energy consumption and can make informed decisions regarding energy efficiency, which is especially important in the face of rising energy costs and pressure for sustainable development.

OPEX – FUNCTIONALITIES

The OpEx module is designed to integrate data from various financial modules, enabling a complete overview of operational costs at the enterprise level. It is based on two main categories of costs:

Costs Automatically Calculated by the Model:

Expenditures in this group are forecasted within other dedicated modules, such as the Cultivations module. For example, costs related to corn production are calculated based on the planned cultivation schedule and transferred to the OpEx module. This enables detailed tracking and control of costs related to each stage of production. Other modules, such as fertilization planning, calculate the costs of materials and services associated with agricultural activities.

These costs are dynamically updated and reflected in the OpEx module, providing a comprehensive analysis of operational expenditures.

Budgeted Costs:

The OpEx module also serves a budgeting function for expenses not calculated by the model. This mainly concerns administrative and business costs that do not have a direct impact on production, but are necessary for business operations. Examples of such expenses include accounting services, business consulting, or legal services.

Information about these costs has been obtained through additional OMS (Operations Management System) software, which enables precise data entry and control of expenses included in the budget only.

Cost Management and Tracking:

The module allows users to monitor costs in real time, taking into account seasonality and the cyclical nature of expenditures, which enables more accurate planning and management of financial liquidity.

Forecasting and Analysis:

Thanks to dynamic data integration, users can analyze changes in costs over several years and predict their impact on total operating expenditures.

Cost Allocation by Area and Project:

The module allows costs to be assigned to different divisions (e.g., Division 1, Division 2) and investment projects, facilitating cost analysis in the context of the enterprise’s strategic objectives.

Inclusion of Price Adjustments:

The module provides a function for adjusting prices based on inflation forecasts or other economic indicators, making expense planning more realistic.

SALARIES – KEY ELEMENTS

Division by Departments:

The module also includes the functionality to account for tax reliefs, allowing for the analysis of potential benefits from available exemptions. Users can track reliefs over time, which supports long-term financial planning.

Dynamic Personnel Management:

Users can make changes to the number of employees in various positions (e.g., adding or removing employees in a given position in a specific quarter), allowing flexible adjustment of the employment structure to current needs.

Salary Cost Analysis:

Salary budget forecasting: The module supports long-term planning through salary forecasts for upcoming years, which is useful for preparing the operating budget.

Salary Budget Forecasting:

The module supports long-term planning through salary forecasts for upcoming years, which is useful for preparing the operating budget.

BANK LOANS – FUNCTIONALITIES

Analysis of Impact on Liquidity and Financial Results:

• Automatic calculation of the impact of loan installments on the company’s cash flows.
• Assessment of the effect of loan costs on EBITDA, net profit, and debt ratios.
• Simulation of the impact of new loans on financial liquidity, helping to plan optimal timing for securing financing.

Credit Scenarios:

• Ability to create various repayment scenarios depending on changes in interest rates or repayment schedules.
• Credit risk analysis by simulating interest rate increases and assessing their impact on loan costs.
• Scenarios related to early repayment or refinancing, including any additional costs.

Adding New Loans:

• Ability to add new loans with defined parameters such as loan amount, start date, and loan term.
• Choice of loan type (e.g., revolving, investment) and interest type (fixed, variable).

Repayment Schedule Management:

• Creation of a repayment schedule with separate capital and interest installments tailored to company cash flows.

DYNAMIC INVENTURE – FUNCTIONALITIES

Automatic Inventory Updates:

The module continuously monitors and updates inventory information in real time, providing precise data on stock levels.

Bank Reporting:

This functionality enables the generation of inventory reports that comply with banking requirements. As a result, banks can better assess the value of the company’s current assets, which may affect financing terms.

Work in Progress Reporting:

Tracking work in progress (WIP) provides a fuller picture of the value of goods in various stages of processing. This is important for assessing resources already engaged in production but not yet realized as finished products.

Added value in the credit process: Precise data on inventory levels and work in progress can positively influence the company’s credit evaluation, increasing its creditworthiness.

FINANCIAL STATEMENT – BENEFITS

Ongoing financial control:

Provides quick insight into the company’s financial health, enabling informed decisions in response to current market conditions.

Precise forecasting:

The ability to simulate different scenarios helps predict future financial results and better prepare for possible market changes.

Cash flow optimization:

Managing financial liquidity facilitates better expense planning and control over liabilities.

Monitoring financial indicators:

Calculated indicators offer a complete view of profitability and financial stability, supporting effective management and planning for further investments.

Support for strategic decisions:

Dynamic data updates enable managers and investors to adjust financial strategies to current needs and the economic situation.

DYNAMIC DISCOUNTED CASH FLOW – BENEFITS FOR SHAREHOLDERS

Forecasting Future Company Value:

The DCF method accounts for future cash flows, making it possible to assess how much the company will be worth in the future. This is especially important for shareholders, as they can anticipate the growth of their investment’s value.

Investment Profitability Analysis:

DCF incorporates the time value of money, enabling an objective evaluation of investment profitability and providing a foundation for long-term growth strategy planning.

Better Control Over Cash Management:

This method allows shareholders to monitor how the company’s operations translate into cash flows. It helps assess whether the company generates enough cash to cover liabilities and whether potential investment projects are properly financed.

Risk Assessment and Financial Ratio Analysis:

DCF takes into account market and operational risk (through the discount rate), enabling shareholders to evaluate more precisely how economic variables impact enterprise value. This allows stakeholders to make decisions based on realistic risk assessments.