Zilliz Empowers E-Commerce with AI-Driven Retail Solutions

Zilliz Empowers E-Commerce with AI-Driven Retail Solutions

Zilliz has announced the widespread adoption of its vector database solutions by global e-commerce leaders, enhancing search and recommendation capabilities while reducing infrastructure costs.

Zilliz has announced the widespread adoption of its vector database solutions by leading global e-commerce platforms, including Tokopedia, FARFETCH, and Leboncoin, announced in a press release. These platforms are leveraging Zilliz's technology to enhance customer experiences through faster search, smarter recommendations, and significant infrastructure savings.

Retailers using Zilliz Cloud and Milvus report improvements such as up to 40% more accurate product matching and sub-30ms latency for personalized recommendations. The adoption of Zilliz's solutions has also led to infrastructure cost savings of up to 75% by consolidating legacy systems into a single vector database.

E-commerce leaders across various regions have reported breakthrough improvements in performance and efficiency. For instance, Leboncoin in France has built a visual search engine on 80 million listings with sub-200ms latency, while Tokopedia in Indonesia has deployed hybrid search for 90 million monthly users, resulting in 40% more accurate matches.

Zilliz Cloud, a fully managed vector database service, enables retailers to handle billions of unstructured data points with sub-100ms latency, combining semantic and keyword search in a single system. This allows for seamless scaling across regions and traffic volumes, reducing cost and complexity by consolidating infrastructure.

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