Enhancing E-Commerce Search with Multilingual Text & Image Embedding

The Company 

A leading e-commerce platform, Marketplace, serving a diverse global audience, aimed to improve its search capabilities to handle multilingual queries and image-based searches efficiently. The company sought to enhance search accuracy, reduce latency, and optimize storage for scalable expansion. 

Problem Statement 

E-commerce platforms face challenges in delivering accurate and fast search results for diverse product catalogs across multiple languages. Traditional search engines struggle with: 

• Inefficient handling of multilingual queries and image-based searches. 

• High storage requirements for embeddings, impacting scalability. 

• Suboptimal search precision, leading to lower customer satisfaction and engagement. 

To address these limitations, Marketplace needed an advanced AI-driven semantic search system integrating joint text and image embeddings.