Settlements - Warehouses

Unsettled value by warehouse in PLN – table

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“Unsettled value by warehouse in PLN – table” – this summary presents receivables and liabilities broken down by individual warehouses. For each warehouse, the following data is displayed:

The table uses color highlighting:

Thanks to this, the user can quickly identify warehouses with the largest overdue liabilities (values below zero) and see positive balance values (above zero).

The table includes a search field that allows narrowing the data to selected warehouses. In such cases, summaries automatically adjust to the filtered results.

Additionally, data can be sorted by clicking the column headers – for example, to arrange warehouses by balance value or by the amount of liabilities.


Receivables in PLN

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“Receivables in PLN” – the chart presents the value of receivables broken down by warehouses. Each warehouse is marked with a different color, allowing for a quick assessment of its share in the total amount of receivables.

The chart also includes time intervals for overdue receivables:

Thanks to this, the chart allows users not only to compare receivable loads between warehouses but also to analyze the structure of overdue amounts.


Liabilities in PLN

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“Liabilities in PLN” – the chart presents the value of liabilities broken down by warehouses. Each warehouse is marked with a different color, allowing comparison of their share in the total amount of liabilities.

The chart also includes time intervals for overdue liabilities:

  • 0 – current – liabilities for which the payment due date has not yet passed,

  • 1–10 days – liabilities overdue by up to 10 days,

  • 10–30 days – liabilities overdue between 10 and 30 days,

  • 30–60 days – liabilities overdue between 30 and 60 days,

  • 60> days – liabilities overdue by more than 60 days (the most risky portion of the liabilities portfolio).

Thanks to this, the chart allows users to assess which warehouses account for the highest liability values and how their structure changes over time.


 


Revision #4
Created 7 October 2025 09:13:53 by Rafał Urban
Updated 16 April 2026 11:20:31 by Rafał Urban