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Scylla 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 need to deliver personalized omni-channel shopping experiences at a global scale. To survive and thrive they must have a NoSQL 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 Scylla 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

eCommerce providers require lower 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 Fulfilment

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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

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Scylla University

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