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Hello !
I have to calculate stock adjustments over sales in several stores of a supermarket in the period between the last stock count and today. The thing is that the stock count date is different for each store, and I would also like to decompose the adjustments by product category.
I managed to make a measure that calculates them, but when I want to calculate the ratio aggregated by location the measure is not working.
The data looks like this
store_id | adjustment_date | product_id | adjustmentCause_id | Quantity | amount |
2 | 2020/08/20 | 63 | 3 | 1 | $3.00 |
store_id | date | product_id | Quantity | amount |
2 | 2020/08/20 | 63 | 12 | $36.00 |
The measures I managed to do are this ones.
Solved! Go to Solution.
@rodrigoestrella, try this measure:
Adjustments =
SUMX (
Merms,
IF ( Merms[adjustment_date] >= RELATED ( DimStore[stock_date] ), Merms[amount] )
)
Data model:
By store_id:
By location:
Proud to be a Super User!
@rodrigoestrella, try this measure:
Adjustments =
SUMX (
Merms,
IF ( Merms[adjustment_date] >= RELATED ( DimStore[stock_date] ), Merms[amount] )
)
Data model:
By store_id:
By location:
Proud to be a Super User!
Thanks a lot !!!!! It worked perfectly !!
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