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Integrating Smart Product Recommendations

How to set up a data architecture, data science team and models to enhance your customer experience

Challenge
  • 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

  • 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

Solution
Value
  • 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

Tools

Sector

Retail & Consumer

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