Building Multichannel Applications with WebSphere Commerce

Building Multichannel Applications with WebSphere Commerce

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This IBMAr RedbooksAr publication discusses the value proposition of cross-channel solutions and describes the IBM Retail Integration Framework Commerce Product Strategy solution and service-oriented architecture (SOA) as an enabler. In depth, this book describes cross-channel processes and cross-channel features and proposes scenarios and configurations to meet the challenges in a competitive environment. This book describes the latest features and techniques of IBM WebSphereAr Commerce Version 7. In it, we present an overview of the WebSphere Commerce order and inventory management systems, the distributed order management (referred to as DOM throughout this book) integration framework, and a sample DOM integration scenario. We discuss the Madisons starter store (Web 2.0 storefront) and present a hands-on experience that integrates MapQuest with the WebSphere Commerce V7 Store Locator feature. We discuss how a merchant can use the mobile features that are included in WebSphere Commerce V7 to define e-Marketing Spots and promotion for mobile users. In addition, we demonstrate how to use Google Maps with the Store Locator feature on a mobile device. We include in this book an example about how to apply WebSphere Commerce features on a cross-channel solution as applied at the Easy Hogary Construccion home improvement retail company in South America. The scenario explains how to scale from an SOA store to a cross-channel business model. This book is designed for use by WebSphere Commerce developers, practitioners, and solution architects in various industries.Mobile checkout sign in Registered customers can use the mobile checkout sign in page to log on to the store before ... to enter payment method and information and, optionally, to enter a promotion code to receive further order discounts.

Title:Building Multichannel Applications with WebSphere Commerce
Author:Rufus Credle, Sribha Jain, Nicolai Nielsen, Leonardo Ramirez, Anand Tamariya, Fu Liang Wang, IBM Redbooks
Publisher:IBM Redbooks - 2010-02-24


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