Machine learning for product Recommendations
NineTwoThree has significantly upgraded Cymbiotika's online shopping experience by introducing a machine learning (ML) based recommendation system. This system aims to drive sales by understanding and predicting what customers might buy, based on their similarities with other users.
The goal is to make the shopping experience
more personalized, which is expected to engage
customers better and lead to more sales.
Aiming for at least a 1% increase in sales, this improvement could greatly enhance Cymbiotika's revenue and market position.
Originally, Cymbiotika used a basic system where a customer survey influenced product suggestions. NineTwoThree shifted this approach to a more advanced, behavior-based machine learning system. This new system categorizes customers by their shopping habits, preferences, and responses, leading to more relevant recommendations.