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Hi Everybody,
trying to figure sth our but so far no success with all the other calculations.
Following data is given:
Country | Product | Date | Inventory | Demand |
Germany | 1234 | 01.12.2022 | 1000 | 100 |
Germany | 1234 | 01.01.2023 | 200 | |
Germany | 1234 | 01.02.2023 | 50 | |
Germany | 1234 | 01.03.2023 | 60 | |
Germany | 1234 | 01.04.2023 | 30 | |
Germany | 1234 | 01.05.2023 | 40 | |
Germany | 1234 | 01.06.2023 | 50 | |
Germany | 1234 | 01.07.2023 | 200 | |
Germany | 1234 | 01.08.2023 | 200 | |
Germany | 1234 | 01.09.2023 | 80 | |
Germany | 2222 | 01.12.2022 | 1000 | 100 |
Germany | 2222 | 01.01.2023 | 200 | |
Germany | 2222 | 01.02.2023 | 50 | |
Germany | 2222 | 01.03.2023 | 60 | |
Germany | 2222 | 01.04.2023 | 30 | |
Germany | 2222 | 01.05.2023 | 40 | |
Germany | 2222 | 01.06.2023 | 50 | |
Germany | 2222 | 01.07.2023 | 0 | |
Germany | 2222 | 01.08.2023 | 0 | |
Germany | 2222 | 01.09.2023 | 0 | |
Germany | 2222 | 01.10.2023 | 0 | |
Germany | 2222 | 01.11.2023 | 0 | |
Germany | 2222 | 01.12.2023 | 0 | |
Poland | 1234 | 01.12.2022 | 1000 | 100 |
Poland | 1234 | 01.01.2023 | 200 | |
Poland | 1234 | 01.02.2023 | 50 | |
Poland | 1234 | 01.03.2023 | 60 | |
Poland | 1234 | 01.04.2023 | 30 | |
Poland | 1234 | 01.05.2023 | 40 | |
Poland | 1234 | 01.06.2023 | 50 | |
Poland | 1234 | 01.07.2023 | 200 | |
Poland | 1234 | 01.08.2023 | 200 | |
Poland | 1234 | 01.09.2023 | 80 | |
Poland | 2222 | 01.12.2022 | 1000 | 100 |
Poland | 2222 | 01.01.2023 | 200 | |
Poland | 2222 | 01.02.2023 | 50 | |
Poland | 2222 | 01.03.2023 | 60 | |
Poland | 2222 | 01.04.2023 | 30 | |
Poland | 2222 | 01.05.2023 | 40 | |
Poland | 2222 | 01.06.2023 | 50 | |
Poland | 2222 | 01.07.2023 | 50 | |
Poland | 2222 | 01.08.2023 | 100 | |
Poland | 2222 | 01.09.2023 | 320 | |
Poland | 2222 | 01.10.2023 | 0 | |
Poland | 2222 | 01.11.2023 | 0 | |
Poland | 2222 | 01.12.2023 | 0 |
And I'd like to create the Remaining stock + cover calculation to have the following result
Country | Product | Date | Inventory | Demand | Start Inv | Coverage |
Germany | 1234 | 01.12.2022 | 1000 | 100 | 1000 | 1 |
Germany | 1234 | 01.01.2023 | 200 | 900 | 1 | |
Germany | 1234 | 01.02.2023 | 50 | 700 | 1 | |
Germany | 1234 | 01.03.2023 | 60 | 650 | 1 | |
Germany | 1234 | 01.04.2023 | 30 | 590 | 1 | |
Germany | 1234 | 01.05.2023 | 40 | 560 | 1 | |
Germany | 1234 | 01.06.2023 | 50 | 520 | 1 | |
Germany | 1234 | 01.07.2023 | 200 | 470 | 1 | |
Germany | 1234 | 01.08.2023 | 200 | 270 | 1 | |
Germany | 1234 | 01.09.2023 | 80 | 70 | 0,875 |
Start Inv = Inventory when it's the first entry. Otherwise ending inventory from prev month.
Coverage will be 1 when Demand < Start Inv and when Inv < Demand then the remainer that can be covered.
I'd be happy to see how to create a new column in dax to have this evaluated.
Thanks !
M
Solved! Go to Solution.
You can create a couple of calculated columns like
Start Inv =
VAR CurrentDate = 'Table'[Date]
VAR Inventory = CALCULATE( SUM('Table'[Inventory]), ALLEXCEPT('Table', 'Table'[Country], 'Table'[Product]), 'Table'[Date] <= CurrentDate )
VAR Demand = CALCULATE( SUM('Table'[Demand]), ALLEXCEPT('Table', 'Table'[Country], 'Table'[Product]), 'Table'[Date] < CurrentDate )
RETURN Inventory - Demand
Coverage = IF( 'Table'[Demand] < 'Table'[Start Inv], 1, DIVIDE( 'Table'[Start Inv], 'Table'[Demand] ) )
You can create a couple of calculated columns like
Start Inv =
VAR CurrentDate = 'Table'[Date]
VAR Inventory = CALCULATE( SUM('Table'[Inventory]), ALLEXCEPT('Table', 'Table'[Country], 'Table'[Product]), 'Table'[Date] <= CurrentDate )
VAR Demand = CALCULATE( SUM('Table'[Demand]), ALLEXCEPT('Table', 'Table'[Country], 'Table'[Product]), 'Table'[Date] < CurrentDate )
RETURN Inventory - Demand
Coverage = IF( 'Table'[Demand] < 'Table'[Start Inv], 1, DIVIDE( 'Table'[Start Inv], 'Table'[Demand] ) )
Thanks - that was the thing I was looking to do - I'll jump on the train from this one 🙂
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