Customise Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorised as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyse the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customised advertisements based on the pages you visited previously and to analyse the effectiveness of the ad campaigns.

No cookies to display.

StatCounter - Free Web Tracker and Counter
The Enterprise Guide on Innovation and Security with Generative AI

Zilliz Powers AI-Driven Retail Experiences for Global E-commerce Leaders

Retail giants like Tokopedia, FARFETCH, and Leboncoin turn to Zilliz for faster search, smarter recommendations, and massive infrastructure savings.

Zilliz, creator of the world’s most widely adopted open source vector database, Milvus, announced widespread adoption of its vector database solutions by leading global e-commerce platforms. From visual search and semantic recommendations to real-time inventory matching, retailers using Zilliz Cloud and Milvus report improved customer experience, faster performance, and infrastructure savings of up to 75%.

“As shoppers increasingly expect instant, intuitive search across massive catalogs, retailers need AI-native infrastructure built for unstructured data,” said Chris Churilo, VP of Marketing at Zilliz. “Our customers are delivering next-generation discovery experiences — powered by vector search — while dramatically reducing cost and complexity.”

Marketing Technology Insights: AdCellerant Expands to Canada With Powerful Advertising Platform

Unlocking the Future of Product Discovery

E-commerce platforms implementing open-source Milvus and Zilliz Cloud (a fully managed Milvus service) for vector search are unlocking new capabilities that directly impact their bottom line:

Unlocking the Future of Product Discovery

Retailers across regions and segments are adopting Zilliz to power high-performance, scalable AI search and recommendation systems. Results include:

  • Up to 40% more accurate product matching using hybrid semantic + keyword search
  • Sub-30ms latency for personalized recommendations — even during traffic spikes
  • 75% infrastructure cost savings by consolidating legacy systems into a single vector database
  • Faster visual and multimodal search, enabling users to upload photos or describe styles and find products instantly

“Zilliz Cloud gave us the speed and scale we needed to power visual search, meeting our sub-200ms latency target and making product discovery seamless for millions of users,” said Yann Lemonnier of Leboncoin.

“Our search is now 10× smarter and more reliable with Milvus,” added Rahul Yadav of Tokopedia, serving 90 million monthly users.

Marketing Technology Insights: Sandler SCOUT Lets Partners Check Verizon Service in Real Time

Proven Results Across Global Retailers

E-commerce leaders across AsiaEurope, and North America are reporting breakthrough improvements in performance and efficiency after switching to Zilliz:

  • Leboncoin (France): Built a visual search engine on 80M listings with sub-200ms latency using Zilliz Cloud
  • Tokopedia (Indonesia): Deployed hybrid search (vector + keyword) for 90M monthly users, resulting in 40% more accurate matches
  • VIPSHOP (China): Replaced Elasticsearch-based recommender system with Milvus, achieving 10× faster queries and 30ms response times
  • Beni (US): Scaled to 200M listings and 1M daily updates while cutting infrastructure costs by 75%

These platforms also report simplified architecture, faster deployment of new AI features, and improved reliability during peak traffic periods.

A New Standard for AI Infrastructure

Zilliz Cloud, a fully managed vector database service, provides retailers with the ability to:

  • Handle billions of unstructured data points with sub-100ms latency
  • Combine semantic and keyword search in a single system
  • Scale seamlessly across regions and traffic volumes
  • Reduce cost and complexity by consolidating infrastructure

Marketing Technology Insights: Steerco Launches First AI-Powered Platform Built for Customer Success Managers

Source – PR Newswire

For media inquiries, you can write to our MarTech Newsroom at sudipto@intentamplify.com

Share With
Contact Us
StatCounter - Free Web Tracker and Counter