Pething

Project Overview

At Pething, we specialize in delivering exceptional experiences to dog owners through our flagship product : a curated monthly subscription box filled with carefully selected dog supplies. Our mission is to ensure that each user receives a personalized assortment of premium products tailored specifically to their furry companion's needs and preferences.

Project Highlights

• Data-Driven Personalization :

Developed a recommendation algorithm that leveraged data insights to curate personalized subscription boxes based on individual dog owner preferences.

• Hybrid Approach :

Integrated a hybrid recommendation system combining content-based filtering, collaborative-based filtering , and matrix factorization techniques. This approach enabled us to provide accurate and diverse recommendations.

• Collaborative Filtering :

Employed user-based and item-based collaborative filtering techniques to identify users with similar dog breeds or preferences. This tapped into collective preferences, offering personalized recommendations that resonated with each user.

• Impactful Results :

Achieved a remarkable 67% increase in customer satisfaction responses, a 45% boost in subscribers, and a 37% increase in sales.

Takeaways

This project allowed me to dive deep into the realms of recommendation systems. It reinforced the importance of data-driven Personalization in enhancing user experiences and business outcomes. The success of the project highlighted the potential of harnessing user behavior and preferences to drive significant improvements in key business metrics.