Customer Service Automation · Real-time Analytics
VinBigData needed a centralized, cloud-native data layer for AI products serving multiple industries, because fragmented customer data and disconnected AI solutions made it hard to maintain accuracy, monitor operations, launch new services quickly, and support real-time experiences for chatbots, assistants, and analytics applications.
Reported impact
VinBigData cut database operations and management costs by 30%, kept API latency below 100 milliseconds, can launch new AI products in as little as two weeks, and gave customers such as banks and automakers a unified data and AI foundation for faster innovation and better user experiences.
VinBigData migrated its AI platform to MongoDB Atlas on AWS to give VinBase and related services a single data foundation. The company uses Atlas to integrate petabytes of historical and real-time data from customers, while its flexible schema supports rapidly evolving workloads such as speech and language services, chatbots, callbots, APIs, and the ViVi in-car assistant. Because Atlas is cloud native, VinBigData can deploy and scale these AI applications without a dedicated infrastructure team, and developers can adapt the service model quickly as product requirements change. Performance Advisor and Atlas operations tooling help engineers spot abnormal record-creation patterns before they affect latency, while experiments with Atlas Vector Search extend the platform toward semantic retrieval and recommendation use cases. The result is a reusable AI data platform that helps VinBigData centralize data, deliver innovation faster, and keep latency low for real-time user experiences.
Customer operational data is centralized in Atlas on AWS, AI applications such as chatbots and assistants read and update that shared data in real time, and emerging Vector Search workloads retrieve context by meaning for generative AI and recommendation scenarios.
MongoDB Atlas also provides VinBigData with a scalable, stable, cloud-native, fully-managed and secure database
VinBigData can deliver a new AI product in as little as two weeks.
With MongoDB Atlas on AWS, VinBigData is helping customers modernize their applications by integrating data and AI to drive innovation in the user experience.
With MongoDB, VinBigData reduced infrastructure operations and management costs by 30%
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