Automating Sneaker Curation with Personalized Recommendations
At Accelvision, we had the privilege of collaborating with an innovative e-commerce startup offering a personalized sneaker curation service. Serving over 300 subscribers, the startup connects individual sneaker preferences with inventory from a network of 10+ resellers and distributors. However, the existing manual curation process was time-consuming and limited in scalability.
Our contributions included:
- Designing and Implementing a Personalized Recommendation System: We developed a data-driven solution to match subscriber preferences with available inventory, delivering tailored sneaker recommendations efficiently.
- Automating Manual Processes: By leveraging the existing MongoDB database, we automated the curation workflow, significantly reducing manual effort while maintaining the personalized experience.
This solution transformed the client’s operations, enabling them to scale their service and provide consistent, high-quality recommendations to their growing subscriber base. It highlights our expertise in blending AI and automation to drive innovation and efficiency for modern businesses.