Automating Product Recommendation Systems using AI

The previous product recommendation process for Perla Pli required a professional to manually generate results from a questionnaire. This approach was time-consuming and resource-intensive for the company, leading to lower conversion rates due to the delay in sending responses, which typically took several days. The project automated the recommendation process by implementing a database and product matching algorithms that generated and sent personalized responses via email within seconds. The questionnaire was redesigned into a multistep form, enabling users to save their progress and providing the company with valuable leads. Additionally, artificial intelligence was integrated to improve guidance and generate more personalized recommendations that aligned with each user's needs. To see the project live visit: https://perlapli.com/pages/asesoramiento