Menjovrednik processes your financial data in real time and highlights risks before they affect liquidity. The platform is designed for small businesses and private investors in Slovenia.
Small business owners collect data from bank statements, accounting and sales systems, but rarely connect it to a clear picture of risk.
Unstructured data streams are transformed into measurable indicators of risk and liquidity, processed continuously in the background of the platform.
Each module works independently, but complements the others in a continuous cycle of analysis.
The platform connects bank sources, accounting systems and sales data and processes them on the fly. Changes in cash flow are seen in hours, not weeks.
Algorithms estimate the likelihood of liquidity gaps based on historical patterns and current trends. The result is a risk assessment for the next 30, 60 and 90 days.
The system proposes concrete measures for the available capital, adapted to the company's risk profile. Recommendations are updated whenever there is a significant change in data.
All data is transmitted and stored using military standard encryption. The processing is aligned with the GDPR and sectoral requirements for financial services in the EU.
The integration is designed so that it does not require replacing existing business systems.
You connect existing banking and accounting resources via secure API connections. The process does not interfere with your current workflows.
Models examine transaction history and current trends to highlight anomalies. The output is a transparent assessment of liquidity risk.
Based on the analysis, the system proposes the allocation of surplus funds. Recommendations remain under your control and require confirmation.
The examples below reflect typical small business and private investor scenarios.
The system predicts future cash flow needs and warns of periods when capital will be idle. You can direct excess funds to more profitable short-term options.
Analysis of market signals helps to assess more favorable moments to enter or exit investment positions. Recommendations are based on a combination of historical and current data.
The platform assesses the concentration of risk in the existing portfolio and suggests an allocation between asset classes. The goal is to reduce exposure to a single source of risk.
Menjovrednik was born from the need of small businesses to access analytical tools that were previously only available to larger organizations.
The platform combines data science and financial practice to remain useful for everyday business decision-making, not just for theoretical analysis.
Read more about usWe present to you how the platform processes your specific data and what recommendations it generates.
The demonstration is free and does not require prior data binding or contractual obligations.