Sep 1, 2020 06:33
4 yrs ago
16 viewers *
English term
assortment wedge
English to Dutch
Bus/Financial
Retail
software - Machine learning - logistics
The “machine” runs through scenarios (and creates the new item forecasts and cannibalization impacts) to auto-populate the assortment wedge for merchant review.
Proposed translations
(Dutch)
2 +1 | assortimentstabel |
Stieneke Hulshof
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Proposed translations
+1
1 hr
Selected
assortimentstabel
Ik begrijp dat de term 'wedge' gebruikt wordt, omdat de tabel waarin de assortimentsplanning traditiegetrouw werd weergegeven in de detailhandel letterlijk op een wig leek (zie Engelstalige definitie hieronder).
In de Nederlandse terminologie vind ik deze term echter in geen enkel verband terug. Het lijkt me daarom lastig om deze letterlijk te vertalen.
Misschien is 'assortimentstabel' een oplossing, omdat de 'wedge' een soort van tabel met gegevens is - zie hiervoor de derde link, waarin de 'wig' (tabel) wordt weergegeven. De term 'wedge' wordt ook wel met 'schuin oplopende curve' vertaald, waardoor 'curve' misschien ook een oplossing is, al is 'assortimentscurve' ook niet terug te vinden in de context.
"What is a Wedge?
A Wedge is a traditional retail term that originated because the visual created when showing the breadth of the assortment by Cluster looked like a wedge (See the traditional wedge diagram below). Stores traditionally were clustered based on sales volume only and the assortment strategy was to give the full assortment to the larger volume stores and fewer items to the lower volume stores.
When assorting to a traditional wedge, the styles were ranked by buy quantity or sales etc. and with Clusters sorted by volume, the larger volume stores received all styles, the medium volume stores received the top 85% of the styles and the next volume band down received 75% of the styles (the percentages are examples).
There were some manual edits, of course, but for the most part, ranking on buy quantities or sales, drove the process.
However this approach, while easier to create, does not reflect the desires of the Customers shopping the stores, sites, applications, and so on, in each Cluster. Therefore, we have introduced what we are calling a Tailored Wedge. (See the figure below for an example). Tailoring the Wedge creates assortments that match the Customer characteristics of each Cluster. The nice, neat are tailored as a top seller in general, may not sell well in a particular group of stores, sites applications, and so on, and by not stocking it there, you will be able to sell something else at a fuller margin as that less desirable item will require more markdowns and clearance activity to move through it.
Creating these types of wedges manually would take a lot of extra time, so the Assortment Planning solution includes a Wedge Population Automation capability that recommends a tailor set of Wedges based on the Buyer's goals for each Wedge (and allow the Buyer to make manual edits as needed). Wedge Population Automation is described in Step 4 - Fill the Wedge."
https://www.mijnwoordenboek.nl/vertaal/EN/NL/wedge
https://docs.oracle.com/cd/E75762_01/assortplan/pdf/141/html...
https://docs.oracle.com/cd/E75762_01/assortplan/pdf/141/html...
In de Nederlandse terminologie vind ik deze term echter in geen enkel verband terug. Het lijkt me daarom lastig om deze letterlijk te vertalen.
Misschien is 'assortimentstabel' een oplossing, omdat de 'wedge' een soort van tabel met gegevens is - zie hiervoor de derde link, waarin de 'wig' (tabel) wordt weergegeven. De term 'wedge' wordt ook wel met 'schuin oplopende curve' vertaald, waardoor 'curve' misschien ook een oplossing is, al is 'assortimentscurve' ook niet terug te vinden in de context.
"What is a Wedge?
A Wedge is a traditional retail term that originated because the visual created when showing the breadth of the assortment by Cluster looked like a wedge (See the traditional wedge diagram below). Stores traditionally were clustered based on sales volume only and the assortment strategy was to give the full assortment to the larger volume stores and fewer items to the lower volume stores.
When assorting to a traditional wedge, the styles were ranked by buy quantity or sales etc. and with Clusters sorted by volume, the larger volume stores received all styles, the medium volume stores received the top 85% of the styles and the next volume band down received 75% of the styles (the percentages are examples).
There were some manual edits, of course, but for the most part, ranking on buy quantities or sales, drove the process.
However this approach, while easier to create, does not reflect the desires of the Customers shopping the stores, sites, applications, and so on, in each Cluster. Therefore, we have introduced what we are calling a Tailored Wedge. (See the figure below for an example). Tailoring the Wedge creates assortments that match the Customer characteristics of each Cluster. The nice, neat are tailored as a top seller in general, may not sell well in a particular group of stores, sites applications, and so on, and by not stocking it there, you will be able to sell something else at a fuller margin as that less desirable item will require more markdowns and clearance activity to move through it.
Creating these types of wedges manually would take a lot of extra time, so the Assortment Planning solution includes a Wedge Population Automation capability that recommends a tailor set of Wedges based on the Buyer's goals for each Wedge (and allow the Buyer to make manual edits as needed). Wedge Population Automation is described in Step 4 - Fill the Wedge."
https://www.mijnwoordenboek.nl/vertaal/EN/NL/wedge
https://docs.oracle.com/cd/E75762_01/assortplan/pdf/141/html...
https://docs.oracle.com/cd/E75762_01/assortplan/pdf/141/html...
4 KudoZ points awarded for this answer.
Comment: "Merci!"
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