HI all. This has two parts.
This data is pulled down in a group format. I have given 1 line under each category for this scenario. It has merged cells as well. I have expanded the grouping from row 8 down. Columns A-K are merged cells. I would think auto fit and deleting of columns would come first then extract what's left would be easier but whichever order works best is fine.
1. Need to extract each location to it's own workbook (locations all have cutomer group at the end of their names. Everything under a location goes with that location until the next location is listed, and
2. auto fit columns and delete columns N,P,Q,R,T so leaving O,Q,S,U.
Thank you for your help.
This data is pulled down in a group format. I have given 1 line under each category for this scenario. It has merged cells as well. I have expanded the grouping from row 8 down. Columns A-K are merged cells. I would think auto fit and deleting of columns would come first then extract what's left would be easier but whichever order works best is fine.
1. Need to extract each location to it's own workbook (locations all have cutomer group at the end of their names. Everything under a location goes with that location until the next location is listed, and
2. auto fit columns and delete columns N,P,Q,R,T so leaving O,Q,S,U.
Thank you for your help.
Customer Dump.xlsx | |||||||||||||||||||||||
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A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | |||
1 | Run Date: 5/4/2024 1:44:53 PM | Page #: 1 | |||||||||||||||||||||
2 | |||||||||||||||||||||||
3 | Requested Ship Date Range: x/xx/xxxx-x/xx/xxxx | ||||||||||||||||||||||
4 | |||||||||||||||||||||||
5 | |||||||||||||||||||||||
6 | |||||||||||||||||||||||
7 | Item # | External Item # | Pack Size | Item Desc | Type | Item Group | Order Qty Case | Unit or LB Ordered | Ship Qty Case | Unit or LB Ship | Ship Var - Cases | Ship Var - Unit/Lbs | Case Fill % | Unit or LB Fill Rate | |||||||||
8 | ABC Location 1 Customer Group | 8,686 | 23,386 | 8,604 | 23,256 | 82 | 130 | 99.06% | 99.44% | ||||||||||||||
9 | Deli | 6,186 | 6,186 | 6,152 | 6,152 | 34 | 34 | 99.45% | 99.45% | ||||||||||||||
10 | XXX | XXXX | XXXOZ | XXXX | Deli | FG-ENT | 169 | 169 | 169 | 169 | 0 | 0 | 100.00% | 100.00% | |||||||||
11 | Produce | 2,500 | 17,200 | 2,452 | 17,104 | 48 | 96 | 98.08% | 99.44% | ||||||||||||||
12 | ABC Location 2 Customer Group | 5,822 | 19,186 | 5,756 | 19,046 | 66 | 140 | 98.87% | 99.27% | ||||||||||||||
13 | Deli | 3,674 | 3,674 | 3,674 | 3,674 | 0 | 0 | 100.00% | 100.00% | ||||||||||||||
14 | Produce | 2,148 | 15,512 | 2,082 | 15,372 | 66 | 140 | 96.93% | 99.10% | ||||||||||||||
15 | XXX | XXXX | XXXOZ | XXXX | Produce | FG-MAP | 36 | 216 | 36 | 216 | 0 | 0 | 100.00% | 100.00% | |||||||||
16 | DEF Location 1 Customer Group | 11,265 | 29,169 | 11,217 | 29,073 | 48 | 96 | 99.57% | 99.67% | ||||||||||||||
17 | Deli | 8,397 | 8,397 | 8,397 | 8,397 | 0 | 0 | 100.00% | 100.00% | ||||||||||||||
18 | XXX | XXXX | XXXOZ | XXXX | Deli | FG-GRNSAL | 59 | 59 | 59 | 59 | 0 | 0 | 100.00% | 100.00% | |||||||||
19 | Produce | 2,868 | 20,772 | 2,820 | 20,676 | 48 | 96 | 98.33% | 99.54% | ||||||||||||||
20 | XXX | XXXX | XXXOZ | XXXX | Produce | FG-VEG | 36 | 216 | 36 | 216 | 0 | 0 | 100.00% | 100.00% | |||||||||
21 | DEF Location 2 Customer Group | 17,703 | 37,107 | 17,379 | 36,651 | 324 | 456 | 98.17% | 98.77% | ||||||||||||||
22 | Deli | 14,463 | 14,463 | 14,271 | 14,271 | 192 | 192 | 98.67% | 98.67% | ||||||||||||||
23 | XXX | XXXX | XXXOZ | XXXX | Deli | FG-GRNSAL | 111 | 111 | 105 | 105 | 6 | 6 | 94.59% | 94.59% | |||||||||
24 | Produce | 3,240 | 22,644 | 3,108 | 22,380 | 132 | 264 | 95.93% | 98.83% | ||||||||||||||
25 | Report Total | 43,476 | 108,848 | 42,956 | 108,026 | 520 | 822 | 98.80% | 99.24% | ||||||||||||||
CustomerFillRateBySKU_V2 |