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.
Processing 45 million recommendation queries monthly for 5 million customers required unprecedented database performance and scalability.
Despite significant web traffic, conversion rates were stagnant at 1.5%, far below industry benchmarks for luxury retail.
Generic product recommendations led to disengaged customers. They needed millisecond response times for personalized suggestions.
Customer preferences, purchase history, browsing patterns, and product relationships were spread across siloed systems, making unified analysis impossible.
Implemented SurrealDB's vector search capabilities to process 45 million recommendation queries monthly with sub-100ms response times, enabling real-time AI-powered personalization.
Leveraged SurrealDB's graph database features to map complex relationships between 5 million customers, their purchase history, browsing patterns, and product preferences.
Consolidated customer data from multiple touchpoints into a single, scalable platform, eliminating data silos and enabling comprehensive customer insights.
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.
Successfully processes 45 million recommendation queries monthly for 5 million customers with consistent sub-100ms response times.
Conversion rates improved from 1.5% to 4%, representing a 167% increase and millions in additional annual revenue.
Personalized experiences fostered customer loyalty, with repeat purchases increasing by 30% across their 5 million customer base.
Maintained 99.99% uptime even during peak shopping periods, processing millions of queries without performance degradation.
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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