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AI-powered personalization at massive scale

Industry: Luxury Retail

Revenue: $6 Billion annually

Scale: 5M+ customers

Queries: 45M+ monthly

Saks Fifth Avenue, a premier luxury retailer, faced the challenge of delivering personalized shopping experiences to millions of customers while maintaining the high standards expected in luxury retail. With 5 million active customers generating 45 million product recommendation queries monthly, they needed a database solution that could handle massive scale while providing real-time, AI-powered personalization. SurrealDB's vector search and graph capabilities enabled them to transform their e-commerce platform into an intelligent, responsive system that understands each customer's unique preferences and shopping patterns.

Key challenges

MASSIVE SCALE REQUIREMENTS

Processing 45 million recommendation queries monthly for 5 million customers required unprecedented database performance and scalability.

LOW CONVERSION RATES

Despite significant web traffic, conversion rates were stagnant at 1.5%, far below industry benchmarks for luxury retail.

REAL-TIME PERSONALIZATION

Generic product recommendations led to disengaged customers. They needed millisecond response times for personalized suggestions.

COMPLEX DATA RELATIONSHIPS

Customer preferences, purchase history, browsing patterns, and product relationships were spread across siloed systems, making unified analysis impossible.

Solutions

MASSIVE-SCALE VECTOR SEARCH

Implemented SurrealDB's vector search capabilities to process 45 million recommendation queries monthly with sub-100ms response times, enabling real-time AI-powered personalization.

GRAPH-BASED CUSTOMER INTELLIGENCE

Leveraged SurrealDB's graph database features to map complex relationships between 5 million customers, their purchase history, browsing patterns, and product preferences.

UNIFIED DATA PLATFORM

Consolidated customer data from multiple touchpoints into a single, scalable platform, eliminating data silos and enabling comprehensive customer insights.

AI-ENHANCED RECOMMENDATION ENGINE

Integrated large language models (LLMs) with SurrealDB's vector capabilities to deliver contextually aware, personalized product recommendations that adapt to customer behavior in real-time.

Results

MASSIVE SCALE ACHIEVED

45M queries

Successfully processes 45 million recommendation queries monthly for 5 million customers with consistent sub-100ms response times.

CONVERSION RATE SURGE

1.5% → 4%

Conversion rates improved from 1.5% to 4%, representing a 167% increase and millions in additional annual revenue.

CUSTOMER RETENTION BOOST

↑ 30%

Personalized experiences fostered customer loyalty, with repeat purchases increasing by 30% across their 5 million customer base.

PERFECT RELIABILITY

99.99% uptime

Maintained 99.99% uptime even during peak shopping periods, processing millions of queries without performance degradation.

Why SurrealDB?

SurrealDB's unique combination of vector search and graph database capabilities enabled Saks to process 45 million recommendation queries monthly while maintaining sub-100ms response times. The platform's ability to handle complex customer relationships and real-time AI integration transformed their e-commerce experience, driving significant revenue growth and customer satisfaction.

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