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Over the last 2 years, assortment rationalization has become one of the most important objectives for many retailers. 100's of working hours have been spent in the exercise, with sometimes great results and sometimes less successful results.
Over the last 6 months, our retail experts and data scientists have been working to build a unique assortment rationalization algorithm that deliver best optimised results under your constraints and taking each store specific catchment areas in considerations.
Define the store, brand and category scope where the rationalization takes place
Assign the constraints to the rationalization for the selected brand or category.
Launch the rationalization engine and build several scenarios
Select among your favorite assortment scenarios and deploy for execution.