Assortment Optimisation is the module where products are selected to optimise customer choice, tailored to target each cluster demographic.
The range is ranked to fill different planogram sizes (Small, Medium, Large & Extra Large), ensuring breadth of choice across the different space breaks.
The assortment optimiser module uses the chosen clustering scheme to aggregate data to cluster level and process it using mathematical algorithms to produce ranges bespoke to each cluster. However, a degree of intervention may be required to reflect commercial priorities, new additions to the product range, product eliminations etc.
As ranges are created reflecting the selected clusters they are automatically curated in the first instance to be customer centric for that group of stores. Assortment optimisation will not run without being linked to a previously created cluster scheme.
All previously baselined clustering project versions are available for Assortment Optimisation.
Unlike clustering which normally requires a minimum of a full year’s data, assortment optimisation will often be set to assess a shorter period of time. For non-seasonal categories this may be the most recent 6 months of data, or for a seasonal category, a data period for the same time from the previous year.
The Assortment Optimisation module is accessed from the main side bar on the left hand side of the screen.
Clicking on the Assortment Optimisation icon highlights four options:
- Master CDT Rules
- Visual CDT
- Update CDT Attributes
- View Assortment Optimisation
These options are explained in further sub-sections of this article. Access them from the LHS menu of this Knowledge Base.