Case Studies Hazelcast IMDG Accelerates Inventory Management, Speeds Purchases

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	Hazelcast IMDG Accelerates Inventory Management, Speeds Purchases

Hazelcast IMDG Accelerates Inventory Management, Speeds Purchases

Technology Category	Application Infrastructure & Middleware - Data Exchange & Integration Application Infrastructure & Middleware - Database Management & Storage
Applicable Industries	E-Commerce Retail
Applicable Functions	Sales & Marketing Warehouse & Inventory Management
Use Cases	Inventory Management Predictive Replenishment Real-Time Location System (RTLS)
Services	Software Design & Engineering Services System Integration
Challenge	E-commerce sales are growing rapidly, but traditional inventory management systems struggle to keep up with the high volume and velocity of data. This often results in inconsistencies between inventory databases and customer-facing systems, leading to lost sales and dissatisfied customers. Traditional relational databases and some NoSQL solutions fail to provide the necessary speed and scalability, causing latency issues and poor customer experiences. Read More
About Customer	The customer is a top ten retailer in the United States, known for its extensive omni-channel selling platform. This retailer has a significant online presence and relies heavily on real-time inventory management to ensure accurate order fulfillment. The company has historically used Apache Cassandra as its system of record but faced challenges in meeting its stringent service-level agreements (SLAs) due to latency issues. Read More
Solution	The retailer implemented Hazelcast IMDG, an in-memory data grid, to enhance its inventory management system. Hazelcast IMDG offers schema-less, in-memory data storage, which is significantly faster than traditional databases. It virtualizes and redundantly maintains memory across software nodes, maximizing hardware utilization and scalability. By integrating Hazelcast IMDG with their existing Apache Cassandra system, the retailer achieved real-time visibility into inventory, enabling accurate order fulfillment and reducing latency to just 2ms, well within their 40ms SLA. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - Data Exchange & Integration

Application Infrastructure & Middleware - Database Management & Storage

Applicable Industries

E-Commerce

Retail

Applicable Functions

Sales & Marketing

Warehouse & Inventory Management

Use Cases

Inventory Management

Predictive Replenishment

Real-Time Location System (RTLS)

Services

Software Design & Engineering Services

System Integration

Challenge

E-commerce sales are growing rapidly, but traditional inventory management systems struggle to keep up with the high volume and velocity of data. This often results in inconsistencies between inventory databases and customer-facing systems, leading to lost sales and dissatisfied customers. Traditional relational databases and some NoSQL solutions fail to provide the necessary speed and scalability, causing latency issues and poor customer experiences.

About Customer

The customer is a top ten retailer in the United States, known for its extensive omni-channel selling platform. This retailer has a significant online presence and relies heavily on real-time inventory management to ensure accurate order fulfillment. The company has historically used Apache Cassandra as its system of record but faced challenges in meeting its stringent service-level agreements (SLAs) due to latency issues.

Solution

The retailer implemented Hazelcast IMDG, an in-memory data grid, to enhance its inventory management system. Hazelcast IMDG offers schema-less, in-memory data storage, which is significantly faster than traditional databases. It virtualizes and redundantly maintains memory across software nodes, maximizing hardware utilization and scalability. By integrating Hazelcast IMDG with their existing Apache Cassandra system, the retailer achieved real-time visibility into inventory, enabling accurate order fulfillment and reducing latency to just 2ms, well within their 40ms SLA.

Impact #1	The retailer achieved real-time visibility into inventory, allowing for accurate order fulfillment and fewer oversell situations.
Impact #2	Hazelcast IMDG enabled the retailer to meet its 40ms SLA by reducing latency to just 2ms.
Impact #3	The integration of Hazelcast IMDG with Apache Cassandra provided a seamless and efficient inventory management system.

Impact #1

The retailer achieved real-time visibility into inventory, allowing for accurate order fulfillment and fewer oversell situations.

Impact #2

Hazelcast IMDG enabled the retailer to meet its 40ms SLA by reducing latency to just 2ms.

Impact #3

The integration of Hazelcast IMDG with Apache Cassandra provided a seamless and efficient inventory management system.

Benefit #1	Achieved 2ms response time, significantly exceeding the 40ms SLA requirement.
Benefit #2	Reduced latency from 300ms to 2ms, improving system performance by 99.33%.

Benefit #1

Achieved 2ms response time, significantly exceeding the 40ms SLA requirement.

Benefit #2

Reduced latency from 300ms to 2ms, improving system performance by 99.33%.

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Overview

Hazelcast IMDG Accelerates Inventory Management, Speeds Purchases

Operational Impact

Quantitative Benefit