# 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.

### Assortment Optimisation Assessment

### Store Clustering Assessment

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

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 ?

- YES  
- NO

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

- YES  
- NO

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

- YES  
- NO

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

- YES  
- NO

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

- YES  
- NO

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

- YES  
- NO

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

- YES  
- NO

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

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?

- YES  
- NO

Do you cluster Stores at a company wide level?

_(rather than for each category or department)_

- YES  
- NO

Do you use a solution to cluster stores?

_(rather than manual or spreadsheets)_

- YES  
- NO

Do you cluster using a single measure?

_(typically either sales value, sales units or margin)_

- YES  
- NO

Do you cluster by product attributes?

_(e.g. brand, price position, material)_

- YES  
- NO

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

- YES  
- NO

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

- YES  
- NO