Product Recommendation

 

40%

purchased recommended product

The Ask


Provide luxury fragrance buyers with a closer online experience to fashion, to enable the right products to be recommended more easily.

 

Our Solution


We conducted an extensive 200-question survey of luxury fragrance buyers, to understand whether psychometric and personality profiles aligned with fragrances preferences. We then built a series of five machine learning models to help create a fully personalised customer product recommendation engine.

 
 

Impact


The tool was first adopted by in-store sales associates – 4 out of 5 users rated their top recommendation at 4 stars or higher, and 40% went on to purchase that recommended product.

 

Sound good?

Book a 15 minute consultation with our expert team.

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Customer Engagements

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Digital Transformation