Demand Planning feature must be turned on under Setup>Company>Enable Features>Items & Inventory>Demand Planning.
Linear Regression formula uses the equation "y=a+bX".
This equation will be used when projecting future Item Demand/Supply in NetSuite.
Given:
(Cash Sale Transactions Imported)
Date..........Number...............Item.........Quantity......Amount
1/15/2012....CS-001..............Item A..........10..........100.00
2/1/2012......CS-002..............Item A..........15..........150.00
3/1/2012......CS-003.............Item A..........20...........200.00
3/15/2012....CS-004..............Item A..........25..........250.00
4/20/2012....CS-005..............Item A..........10..........100.00
Navigate to Setup>Accounting>Inventory Management Preferences>Transactions to Consider=Actual Sales.
Plot the data above in a table for easier computation. The table will depend on what you set as your Historical Analysis Duration and the current date when you go to Transactions>Demand Planning>Calculate Item Demand Plans. In this example, it is set to a period of 6 months and the demand is being calculated as of May 2012.
From May 2012, I will count 6 periods back. The first period in the computation will be November 2011.
We then let X=Period and let Y=Quantity.
Take the sum of the Quantities sold per month. In March, there were two transactions so we get a total of 45 Quantity sold.
Since during November and December 2011, no quantities have been sold, Y (Quantity) should be set as zero (0).
| Period | Quantity | | | |
Month | X | Y | XY | X2 | Y2 |
November | 1 | 0 | 0 | 1 | 0 |
December | 2 | 0 | 0 | 4 | 0 |
January | 3 | 10 | 30 | 9 | 100 |
February | 4 | 15 | 60 | 16 | 225 |
March | 5 | 45 | 225 | 25 | 2025 |
April | 6 | 10 | 60 | 36 | 100 |
Total | 21 | 80 | 375 | 91 | 2450 |
XY= X*Y
Once you have plotted the data in a table, get the values for XY, X2, Y2 as this will be used in our formula below:
(∑Y)(∑X2 ) – (∑X)(∑XY) (80)(91) – (21)(375) -595
a = -------------------------------- = ---------------------------- = --------------- = -5.66667
n(∑X2 ) - (∑X) 2 6(91) – (21)2 105
n (∑XY) – (∑X)(∑Y) 6(375) – (21)(80) 570
b = -------------------------------- = ----------------------------- = --------------- = 5.428571
n(∑X2 ) - (∑X) 2 6(91) – (21)2 105
To project demand for three periods, NetSuite calculates it using the equation, y=a+bX.
Projected Values computed by the system: | |||
Month | Period (X) | Quantity (Y) | Rounded value |
May | 7 | 32.33 | 32 |
June | 8 | 37.76 | 38 |
July | 9 | 43.19 | 43 |
August | 10 | 48.62 | 49 |
September | 11 | 54.05 | 54 |
Example: y=-5.66667+(5.428571)(7)=32.33
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