Download PDF
Hazelcast IMDG Powers real-time Infrastructure for e-commerce
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Consumer Goods
- E-Commerce
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
The Challenge
Delivering e-commerce systems that provide competitive advantage is one of the toughest challenges facing retailers today. Flexibility and speed are the keys to building a world-beating e-commerce system. The ability to deliver a personalized shopping experience with relevant content at predictable sub-second latency is the difference between business success and failure. Customers will typically wait only 1 to 2 seconds for a page to load before moving on. Speedy response and high availability are absolute musts, and making sense of the huge volumes of data generated by customers is critical. Some of the complex business requirements driving today’s e-commerce systems include generating personalized shopping experiences in microseconds using multiple data streams, omni-channel systems that deliver a consistent shopping experience to the customer across mobile and web, and in-store, removal of data and system silos to present a single view of your data (warehousing, supply chain, social, customer), flexible datastore that allows full-scale updates to an entire product catalog in minutes rather than hours, the ability to meet peak demand workloads and then shrink systems at quieter periods to save compute costs, and dynamic pricing, comparing against competitors’ catalogs, and then adjusting pricing in real-time.
About The Customer
With $18.3 billion in annual online sales, this global provider of personal computers and electronics is one of the most visited e-commerce websites in the world, second only to Amazon.com. Burst traffic during new product introductions is at an extreme scale, as are sales on Black Friday, Cyber Monday, and over the holidays. This unique combination of world-class brand experience and extreme burst performance scaling led this e-commerce giant to Hazelcast IMDG as the solution for achieving the best possible price performance for their e-commerce platform.
The Solution
Hazelcast In-Memory Data Grid provides a unique set of characteristics that make it the perfect choice when building e-commerce systems. Increasingly businesses are turning to Hazelcast when their existing systems are unable to deliver on their service-level requirements. It’s not just older technologies such as Oracle databases that are struggling to cope; newer approaches using NoSQL databases are also failing to live up to promises. Hazelcast IMDG is the perfect complement to your existing system of record, enabling the performance and scalability that beats the competition. Adding more capacity to a Hazelcast IMDG cluster is simply a case of starting another node in response to increased demand, then removing the excess node at quieter times. Hazelcast IMDG takes care of the data distribution transparently without significant impact on transaction rates, all without operator intervention. Hazelcast IMDG can store terabytes of data in memory to provide microsecond latencies while performing hundreds of thousands of transactions per second. Hazelcast IMDG includes all the features required to scale, not just locally but also across multiple data centers, while maintaining data coherence. Hazelcast does not impose strict schemas on stored data. With in-situ processing (entryProcessors) Hazelcast can process large documents and return just the data required, improving read performance. Updates to these documents can also be done in-situ, allowing just the change to be sent across the network.
Operational Impact
Quantitative Benefit
Related Case Studies.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Series Production with Lot-size-1 Flexibility
Nobilia manufactures customized fitted kitchens with a lot size of 1. They require maximum transparency of tracking design data and individual processing steps so that they can locate a particular piece of kitchen furniture in the sequence of processes.
Case Study
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
Case Study
Revolutionizing Rodent Control
From pet- and child-safe traps, to touch-free and live-catch rodent control solutions, Victor continues to stay committed to producing superior products that meet the varying needs of today’s pest control professionals. And, with a long standing history supporting customers in the food processing, service, and retail settings, Victor knew that strict regulations were costing organizations thousands of dollars in excess overhead trying to manage their rodent-control solutions. Trap inspections in these environments are often difficult and time consuming, requiring personnel to manually check a trap’s status multiple times per day, amounting to over six hours of manual labor. Victor is looking for an innovative way to increase operational efficiencies with the use of technology.
