| | October 20146CIOReviewCopyright © 2014 CIOReview, Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.CIOReviewOCTOBER 23 - 2014CIOReview's circulation is audited and certified by BPA International (Audit Pending). Mailing AddressCIOReview44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510.402.1463, F:510-894-8405 October 2014, volume SE 22 Published by CIOReview To subscribe to CIOReviewVisit www.cioreview.com Editor-in-Chief Pradeep ShankarEditorial StaffSalesT:510. 565. 7559VisualizersStephen ThomasArpita GhoshLOgIsTICs TECHNOLOgY sPECIALCIOReviewStephen Thomasstephen.thomas@cioreview.com George ThomasGeorge@cioreview.com Sarah Mathewsarah.mathew@cioreview.com Benny Thomasbenny@cioreview.com Alex D'souzaLaura PintoMerlin ThomasSonia SacharAishwarya KannanJoshua ParkerMathew JacobRyan Fernandes EditorialToday logistics providers manage a massive flow of goods and at the same time create vast data sets. For millions of shipments every day--origin and destination, size, weight, content, and location are all tracked across global delivery networks. Through this data tracking, there is huge untapped potential for improving operational efficiency and customer experience, and creating useful new business models. Mastery of this complex and extensive data sources is becoming a differentiating factor in the logistics industry. Today the logistics industry is positioning itself to put this wealth of information to better use. Market leaders in the logistics space are building out advanced data manipulation capabilities such as predictive analytics and real-time event processing, and are extracting insights from unstructured information. Big data has begun to make inroads into logistics services, turning large-scale data volumes into a unique asset capable of boosting efficiency in areas of the business. In the logistics industry, from predictive network and capacity planning, through risk evaluation, resilience planning, and real-time route optimization, up to crowd-sourced pickup and delivery operations, big data is no longer just hype. Beyond the hype, the paradigm of cloud-based services is increasingly tangible for logistics. Logistics-as-a-service (LaaS), logistics mall, Supply Chain-as-a-Service (SCaaS), and on-demand SCM are defining the future of logistics. Cloud computing meets the challenges of complex, distributed, uncertain, volatile, and less-predictable logistics environments. In this edition of CIOReview on technology for logistics industry, successful CIOs in the logistics space share their wisdom and insights on how they are leveraging technology to deal with the wide array of challenges in the current logistics landscape. Reading through these insights will give you not only a peek into their business environments but also an understanding of the key business and technology trends impacting logistics industry, and provides guidance on how to deal with these changes and lead with confidence. As logistics companies embrace innovative technology solutions to stay ahead of the game, we present to you the most promising logistics technology solution and consulting providers. These are companies whose solutions are central to solving transportation, logistics, and supply chain challenges. Pradeep ShankarEditor-in-Chiefeditor@cioreview.comLogistics Data: Delivering Insight, Creating Value
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