Is powerBI the right tool for this?

[Mattmcdowell_]

I'm using powerBI to create a tool for our production team but I'm unsure if what I'm doing is best suited for PowerBI. What I want it to be able to do is take current on hand inventory and net out customer requirements by date and be able to calculate the date in which I run out of inventory.  It seems to be that PowerBI is very "column" based whereas what I want to do is calculate things by looking at the rows. In my example below I would want to know how to display February 5th as the day that I run out of inventory.  I know the methods to calculate what my on hand inventory is, and receipts but how to look at each distint row of sales demand with dates (and net out each date until I run out of stock) is where I'm stuck

On hand Inventory	100
Scheduled Receipts (today)	25
Date	Sales Demand	Projected Available Balance
02/01/2019	5	120
02/02/2019	10	110
02/03/2019	7	103
02/04/2019	20	83
02/05.2019	83	0

[Ashish_Mathur · Accepted solution]

Hi,

You may download my PBI solution file from here.

Hope this helps.

[Mattmcdowell_]

Incredible, thanks so much

[Ashish_Mathur]

You are welcome.

[Greg_Deckler]

Something like this should work:

Column = 
VAR __invent = SUM(Table5[Value])
VAR __current = SUMX(FILTER(ALL('Table6'),[Date]<=EARLIER(Table6[Date])),[Sales Demand])
RETURN
__invent - __current

See Table5 and Table6 of attached.

[Mattmcdowell_]

Greg - that is exactly what I am looking for. Is there a way to use this using direct query mode (since I don't have access to the table mode)?

[Mattmcdowell_]

@Greg_Deckler I'm so close. The last step I'm missing is to have a column that adds up the quantites for each item number.  Line 25 I would want to see 72, then line 26 122, line 27 124.... etc etc.

[Greg_Deckler]

Hmmm. That's a tough one because to the best of my knowledge, EARLIER is not support for Direct Query:

https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/dax-formula-compatibility-in-d...

Let me introduce you to @ImkeF as she is an Power Query (M) genius and she might have a solution for you in M instead of DAX.