Personalized recommendation platform for online shopping
Existing online shopping platforms often fail to provide tailored recommendations to users, leading to frustration and decreased engagement. A startup can develop an identification technology-driven platform that utilizes machine learning algorithms to analyze user preferences, past purchase history, and browsing habits to offer personalized recommendations for products. This platform can enhance the online shopping experience and increase customer satisfaction.