CAPABILITIES
Real-time personalisation at scale
Advanced product recommendations
Graph and vector search for accurate, real-time recommendations tailored by user behaviour, purchase history, and contextual signals.
Dynamic pricing models
Real-time data ingestion and AI-powered personalisation for pricing strategies that respond to customer segments, inventory, and market conditions.
Fraud detection with graph analytics
Uncover fraudulent behaviour patterns in transactions, logins, and checkout processes using built-in graph capabilities in real time.
Visual intelligence with SurrealML
Automatically analyse and classify product images uploaded by vendors. Surface similar products and automate moderation workflows.
SEE IT IN ACTION
Personalise recommendations with vector search
Combine purchase history graphs with vector similarity to surface the most relevant products for each customer.
USE CASES
Core use cases for retail and e-commerce
Real-time personalisation
Vector + graph search to drive conversion with AI-powered recommendations.
Product discovery
Semantic search powered by AI embeddings for intelligent product matching.
Vendor onboarding
SurrealML automates image tagging and validation for faster vendor integration.
Fraud detection
Graph analytics for transaction monitoring and anomaly detection.
Inventory forecasting
Time-series analysis and trend detection for supply chain optimisation.
In-store tech (kiosks, tablets)
WASM + edge deployment in-browser or on-device for offline capabilities.
Mobile shopping apps
Embedded engine for real-time, offline-ready data synchronisation.
Financial compliance
Historical data querying for audit trails and regulatory reporting.
TRUSTED BY
Powering innovation across industries
Unlocking insights with knowledge graphs
Samsung uses SurrealDB to power knowledge graphs for real-time audience insights and ad targeting in its ad division.
Learn moreUnified infrastructure monitoring
Tencent uses SurrealDB to consolidate nine backend tools into one real-time monitoring platform.
Learn moreWHY SURREALDB
Why leading retailers choose SurrealDB
Built in Rust for security and edge performance
Memory safety guarantees with performance equivalent to C/C++. Deploy at the edge, in-browser via WebAssembly, or on IoT devices.
Scalable without complexity
Horizontal scalability with no sharding or external scaling logic. Ideal for peak season traffic, product launches, and flash sales.
Semantic and AI search
Understand customer intent beyond keyword search, surfacing relevant results even from long-tail or poorly tagged catalogues.
Time-series and historical insights
Track inventory movement, pricing trends, and consumer behaviour in real time with historical time-travel queries for audits.
Hyper-responsive retail experiences
Deploy at the edge, in-browser, or on IoT devices for responsive retail experiences with offline capabilities and real-time sync.

