TWL Cycle Count Accuracy Report overview
Function acronym: TWLRMG-RPTCCNT
Use the TWL Cycle Count Accuracy Report screen to generate accuracy reports for cycle count transactions within a specified range of cycle waves, dates, or both. This report can be used to map the discrepancy between the recorded and the actual inventory.
A cycle count transaction is considered accurate only if the count of item quantities and lots remains the same after the cycle count process is completed. The report is generated based on:
- Options and ranges specified for a stored or one-time report.
- Transaction type of CS (Cycle Count) from the transactions on an item.
- CS transactions that are processed within 30 days of the cycle count completion date.
-
Comparison between the quantity or lot before and after the count in a transaction.
Note: The stocking unit of measure is always considered for the comparison, because TWL stores quantities in the stocking unit of measure.
The report includes these cycle count metrics:
Metric | Description | Formula for the calculation of accuracy for a wave | Formula for the calculation of accuracy for the report |
---|---|---|---|
Location Accuracy |
Indicates the accuracy of counts at the location level for a product. A location is considered as single entity regardless of the number of pallets or lots. A location can be marked as accurate if all counts within the location are accurate, based on the expected quantity.
Note: If a physical location is included in multiple cycle count waves, all instances are included in the report totals.
|
Location Accuracy for a wave = (Accurate Locations/Total Locations) * 100. For example, wave 34 contains three locations, and the count of one location is accurate. Location Accuracy for wave 34 = (1/3) * 100 = 33%. |
Location Accuracy for the report = (Sum of Accurate Locations/ Sum of Total Locations) * 100. For example, waves 34, 35, and 36 contain three, two, and two locations, respectively. The accurate locations in each wave are one, zero, and one, respectively. Location Accuracy for the report = (2/7) * 100 = 28.57%. |
Inventory Accuracy | Indicates the accuracy of individual inventory items, such as bins, pallets, or lots. |
Inventory Accuracy for a wave = (Accurate Counts/Total Counts) * 100. For example, wave 34 contains 10 items, and the count of eight items is accurate. Inventory Accuracy for wave 34 = (8/10) * 100 = 80%. |
Inventory Accuracy for the report = (Sum of Accurate Counts/Sum of Total Counts) * 100. For example, waves 34, 35, and 36 contain 10, three, and 15 items, respectively. The accurate items in each wave are eight, two, and 12, respectively. Inventory Accuracy for the report = (22/28) * 100 = 78.57%. |
Units Accuracy |
Indicates the accuracy of item units. This metric measures the inventory quantities before and after a cycle count.
Note: If the result exceeds 100%, the result is adjusted to have the accuracy percentage within the expected range (0-100%).
|
Basic Units Accuracy for a Wave = (Quantity after the cycle count/Quantity before the cycle count) * 100. The adjusted Units Accuracy for a Wave = 100 - (Basic Units Accuracy percentage - 100). For example, wave 34 contains 113 item quantities after the cycle count, and 110 item quantities before the cycle count. Basic Units Accuracy for wave 34 = (113/110) * 100 = 102.72%. The adjusted Units Accuracy for wave 34 = 100 - (102.72 - 100) = 97.27%. |
Basic Units Accuracy for the report = (Sum of Quantities after the cycle count/Sum of Quantities before the cycle count) * 100. The adjusted Units Accuracy for the report = 100 - (Basic Units Accuracy percentage - 100). For example, waves 34, 35, and 36 contain 113, 39, and 57.5 item quantities after the cycle count, respectively. The item quantities before the cycle count are 110, 39, and 58.5, respectively. Basic Units Accuracy for the report = (209.5/207.5) * 100 = 100.96%. The adjusted Units Accuracy for the report = 100 - (100.96 - 100) = 99.04%. |
Example
Cycle Count Accuracy
Funct: twlrmg-rptccnt Start Dt/Time: 09/09/24 5:07 PM Store As: 61604463 Group:
Ranges: Begin End
1 Cycle Wave 34 36
2 Date Completed
Options:
1 TWL Warehouse TWL
2 Input (W)ave, (D)ata, (B)oth w
3 Cycle Type (A)ll (D)aily (W)ave (S)ystem A
09/09/24 Mon 17:16 Server: 09/09/24 17:16 Co: 1701 To Boldly Go Enterprise Solutions (PC) Func: twlrm Oper: win Page: 2
Cycle Count Accuracy
From Wave: 34 To Wave: 36
From Date: 01/01/50 To Date: 12/31/49
Company: 1701
Warehouse: TWL Date Run: 09/09/24 5:16 PM
_______________________________________________________________________________________________________________
Cycle Wave: 34 Cycle Type: Wave Date Completed: 09/09/2024
---------------------------------------------------------------------------------------------------------------
Location Pallet Item Empl. # Qty Before Qty After
20 p992888288 Agave Plant win1701 30.00 30.00
dock P000000003 Agave Plant win1701 1.00 1.00
dock P000000119 Agave Plant win1701 11.00 11.00
dock P000000120 Agave Plant win1701 11.00 11.00
dock P000000121 Agave Plant win1701 12.00 14.00
dock P000000122 Agave Plant win1701 11.00 11.00
dock P000014003 Agave Plant win1701 7.00 7.00
dock p000223442 agave plant win1701 19.00 19.00
dock p111232122 Agave Plant win1701 1.00 1.00
zbeta P992929911 Agave Plant win1701 7.00 8.00
_______________________________________________________________________________________________________________
Location Accuracy: 33.33% 110.00 113.00
Inventory Accuracy: 80.00%
Units Accuracy: 97.27%
Cycle Wave: 35 Cycle Type: Wave Date Completed: 09/09/2024
---------------------------------------------------------------------------------------------------------------
Location Pallet Item Empl. # Qty Before Qty After
20 p992881881 lota win1701 9.00 9.00
dock P000000003 lota win1701 10.00 10.00
dock p001299129 lota win1701 20.00 20.00
Lot Discrepancy: 240402e Counted As Lot: 240402eCHANGE
_______________________________________________________________________________________________________________
Location Accuracy: 50.00% 39.00 39.00
Inventory Accuracy: 66.67%
Units Accuracy: 100.00%
Cycle Wave: 36 Cycle Type: Wave Date Completed: 09/09/2024
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Location Pallet Item Empl. # Qty Before Qty After
a1 Lotted Barley win1701 4.00 4.00
a1 lotted barley win1701 3.00 3.00
a1 Lotted Barley win1701 5.00 5.00
a1 Lotted Barley win1701 4.00 4.00
a1 Lotted Barley win1701 1.00 2.00
Lot Number: a2
dock P000000003 Lotted Barley win1701 9.00 9.00
Lot Discrepancy: 240402c Counted As Lot: 240402CCHANGE
dock P000000003 Lotted Barley win1701 11.00 11.00
dock P000000003 Lotted Barley win1701 1.00 1.00
dock P000000003 Lotted Barley win1701 3.00 1.00
Lot Discrepancy: 240507A Counted As Lot: 240507AB
dock P000000006 Lotted Barley win1701 2.00 2.00
dock P000000006 Lotted Barley win1701 0.50 0.50
dock P000000006 Lotted Barley win1701 1.00 1.00
dock p012123112 Lotted Barley win1701 1.00 1.00
dock p999281821 Lotted Barley win1701 10.00 10.00
dock p999888222 Lotted Barley win1701 3.00 3.00
_______________________________________________________________________________________________________________
Location Accuracy: 0.00% 58.50 57.50
Inventory Accuracy: 80.00%
Units Accuracy: 98.29%
_______________________________________________________________________________________________________________
Location Accuracy: 28.57%
Inventory Accuracy: 78.57%
Units Accuracy: 99.04%