ScyllaDB NoSQL for eCommerce and Retail

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Personalized and Engaging Shopping Experiences

There are several key challenges facing the eCommerce industry. eCommerce companies and digital retailers rely on NoSQL databases for eCommerce that deliver personalized omni-channel shopping experiences at a global scale. To survive and thrive they must have an eCommerce database that provides engaging experiences that span the entire lifecycle, from product discovery, personalization, purchase, payment, shipping, and returns – especially during high-traffic events.

Advantages of ScyllaDB NoSQL for eCommerce and Retail

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Real-time User Experience

Selling goods and services online requires consistently real-time database performance to ensure seamless customer satisfaction and minimize abandonment.

Predictable Performance at Scale

Digital commerce companies are increasingly international, making cross-regional data replication essential to place data infrastructure close to a globally distributed customer base, while providing high availability and data resilience against outages.

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Cross-regional Data Replication

Digital commerce companies are increasingly international, making cross-regional data replication essential to place data infrastructure close to a globally distributed customer base, while providing high availability and data resilience against outages.

Lower TCO

Retail and digital commerce companies need an eCommerce database design that has a low total cost of ownership through better hardware utilization, minimized operational overhead, and the ability to run multiple workloads on a single database cluster.

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Retail and eCommerce NoSQL Use Cases

Product Catalog

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Support highly responsive product catalogs that keep customers engaged, driven by an adaptable data model.

Customer 360

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Enrich flexible customer profiles with event-driven demographic, contextual, and behavioral data.

Shopping Cart

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Reduce abandonment with highly dynamic shopping carts that persist across channels and devices, while tracking purchasing behaviors for better customer intelligence.

Order Fulfillment

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Track order status across the supply chain, freight shipping, and last-mile delivery to minimize loss and improve customer satisfaction.

Loyalty Programs and Promotions

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Increase engagement and improve retention using real-time data to generate targeted discounts and incentives.

Recommendation Engine

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Leverage contextual and behavioral data to feed machine learning, growing sales by presenting relevant goods and offers.

Inventory Management

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Maintain optimal inventories to minimize "out of stock" notifications with globally distributed inventory management.

Retail and eCommerce NoSQL Case Studies