Integrating Smart Product Recommendations
How to set up a data architecture, data science team and models to enhance your customer experience
Challenges
Client wanted to revolutionise the in-store shopping experience to appeal to a younger clientele by introducing a smart fitting room capable of providing tailored recommendations to the customer
Solutions
Designed and implemented a database to dynamically capture the movement of fashion items inside the store using RFID-chip data
Developed a customer classification algorithm based on the items the customer takes into the fitting room
Built a hybrid recommendation engine
Trained the new data science team to be able to support the model and develop it further
Values
Multiple stores were equipped with the smart fitting rooms, leading to an increase in sales and successfully attracting younger customers
Roles
Machine Learning Engineer, Data Scientist
Technologies
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Sectors
Commerce & Consumer