Quizzes

These brief quizzes will help you evaluate where you stand in your journey towards a more customer-centric business process. They will help you critically assess your current process and provide insights into what you can do going forward.

 

 

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IS YOUR STORE ASSORTMENT SET UP TO BRING CUSTOMERS BACK INTO STORE POST CoVID?

Previous

1

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do you use a ‘concentric’ ranging approach with space the only differentiator determining the assortment ?

2

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do you cluster your stores to help define the correct range in each store?

3

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do you use a manual / spreadsheet approach to ranging your stores?

4

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do your assortment tools allow you to adjust the weighting given to sales value versus volume or margin for each category ?

5

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

6

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do you believe your assortments are tailored to meet the different customer needs across your store estate ?

7

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Are you able to ensure a complete customer offer across all key options in a category? (e.g. through CDT)

8

Do you take account of a products true sales potential when considering whether to range it in a given store?
(rather than just historical sales)

Do you use data science to analyse detailed store /sku historical sales baskets to identify correlations and sales patterns when ranging stores?

CLUSTERING – THE KEY FIRST STEP TO CURATED CUSTOMER ASSORTMENTS
HOW GOOD IS YOURS?

Previous

1

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you cluster by store size?

2

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you cluster Stores at a company wide level?
(rather than for each category or department)

3

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you use a solution to cluster stores?
(rather than manual or spreadsheets)

4

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you cluster using a single measure?
(typically either sales value, sales units or margin) 

5

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

6

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you cluster by product attributes?
(e.g. brand, price position, material)

7

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Do you use data science to analyse patterns in detailed store/ sku level sales history to cluster like stores?

8

Do you cluster considering 2 or more attributes together?
(e.g. store revenue, demographic profile, store grade, store size, competition, climate)

Does your clustering provide unique insight into how your customers shop differently across your estate?