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?