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June 24, 2025

With this Data Table you have to investigate boxes being shipped from 5 different stores to multiple stores. First you will need to create pivot

Business & Finance / Operations Management 0

With this Data Table you have to investigate boxes being shipped from 5 different stores to multiple stores. First you will need to create pivot tables reflecting the unique shipments in detail. Identify how these 5 stores are packing their inventory. Each line will show Box Numbers and the item it contained inside (Item code/PLU) The Division # is the specific code # for a specific genre of item, for example 291 is mens inner wear one specific division/Category however boxes could contain multiple kinds of items within that division for example if there are two item codes with the same division then there are two different types of mens inner in that box (Socks, boxers). The quantity is the amount of each item is in that box, there are multiple lines for one box as stores are shipping more than one item in a box. To ensure that stores are consolidating items into one box when shipping to stores please analyze if stores instead of consolidating they are separating boxes and shipping multiple boxes to one store during each shipment (Ship date)

For this assignment you will be specifying the total amount of shipments these 5 stores have completed to each store location and in total as a whole store. Analyze how many boxes can be reduced if multiple divisions consolidation are applied. Average quantity that is being shipped in each box for each store and if multiple divisions are in one box, if not multiple divisions also specify if store is not shipping multiple divisions in one box meaning they are separating by division or by item which means they are ineffectively shipping and spending more money by shipping various boxes to same store during same Ship Date. 

If only 1 division how many item codes are in a box. Need Average unit per box for all 5 stores. , Separate data for each store. 

  • attachment

    PivotPractice2.01.xlsx

Sheet1

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Box # From Store # To Store # SHIP_DATE PLU Division Item Code Quantity Of Each Item
990201577280 41 47 5/11/2025 2000198135391 272 477079 1
990201577280 41 47 5/11/2025 2000194397175 341 475360 1
990201577280 41 47 5/11/2025 2000194860716 221 476346 1
990201577280 41 47 5/11/2025 2000195112395 291 475833 1
990201577280 41 47 5/11/2025 2000195112463 291 477618 1
990201577280 41 47 5/11/2025 2000195112470 291 477618 1
990201577280 41 47 5/11/2025 2000195114924 241 476169 2
990201577280 41 47 5/11/2025 2000195114931 241 476169 2
990201577280 41 47 5/11/2025 2000195114993 241 476169 2
990201577280 41 47 5/11/2025 2000195115006 241 476169 2
990201577280 41 47 5/11/2025 2000195115075 241 476169 2
990201577280 41 47 5/11/2025 2000195115136 241 476169 2
990201577280 41 47 5/11/2025 2000195115143 241 476169 2
990201577280 41 47 5/11/2025 2000195265121 211 474175 1
990201577280 41 47 5/11/2025 2000195411467 141 474648 1
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990201577280 41 47 5/11/2025 2000195579730 311 475631 1
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990201577280 41 47 5/11/2025 2000198620279 231 479966 1
990201577280 41 47 5/11/2025 2000199956780 291 474064 1
990201577280 41 47 5/11/2025 2000204096975 142 481035 1
990201577280 41 47 5/11/2025 2000204097095 142 481035 1
990201577290 41 119 5/11/2025 2000195579730 311 475631 1
990201577290 41 119 5/11/2025 2000199234116 241 474404 2
990201577290 41 119 5/11/2025 2000195674800 231 475651 2
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990201577290 41 119 5/11/2025 2000198620422 231 479966 1
990201577290 41 119 5/11/2025 2000195693542 241 477715 1
990201577290 41 119 5/11/2025 2000194657385 341 477297 1
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990201577290 41 119 5/11/2025 2000196144067 221 475861 1
990201577290 41 119 5/11/2025 2000196280345 271 475492 2
990201577290 41 119 5/11/2025 2000196745318 291 474059 2
990201577290 41 119 5/11/2025 2000199285330 341 475765 1
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990201577300 41 139 5/11/2025 2000196700133 331 474506 1
990201577300 41 139 5/11/2025 2000196700102 331 474506 3
990201577310 41 30 5/22/2025 2000200463405 251 476256 3
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990201577320 41 30 5/22/2025 2000200463436 251 476256 2
990201577320 41 30 5/22/2025 2000200463443 251 476256 2
990201577320 41 30 5/22/2025 2000200463474 251 476256 2
990201577320 41 30 5/22/2025 2000200463481 251 476256 2
990201577320 41 30 5/22/2025 2000200463498 251 476256 1
990201577320 41 30 5/22/2025 2000200463504 251 476256 2
990201577320 41 30 5/22/2025 2000200463511 251 476256 2
990201577320 41 30 5/22/2025 2000200463566 251 476256 2
990201577320 41 30 5/22/2025 2000200463573 251 476256 1
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990201577320 41 30 5/22/2025 2000200463658 251 476256 2
990201577320 41 30 5/22/2025 2000200463757 251 476256 2
990201577320 41 30 5/22/2025 2000200463771 251 476256 1
990201577330 41 30 5/22/2025 2000198803290 241 476358