When Fujitsu noticed diminishing returns in its ongoing efforts to improve forecast accuracy, it adopted a new strategy of product segmentation, changing inventory policies for difficult to forecast items. Barry Chapman of Fujitsu explains how this strategy was implemented and the benefits that the company is reaping.

Data from sources like social media, along with powerful analytic software, are giving companies insights into customer buying habits that never before were possible, says Raj Devarajan of Symphony Analytics. He discusses this and other implications that big data holds for supply chain management.

Supporting the many different channels through which today's consumers shop for, purchase and return products presents tremendous challenges and opportunities for retailers, says Annibal Sodero, assistant professor at the Sam Walton College of Business, University of Arkansas.

Data-based predictive analysis that helps companies anticipate global catastrophes and model potential supply chain disruptions is playing an increasing role in risk management, says Perry Rotella, supply chain group executive at Verisk Analytics.

A world where consumers want the freedom to shop and buy through a variety of channels while receiving the same brand experience and rapid, no-cost delivery, challenges retailers and logistics providers to come up with new and cost-effective solutions.

Many companies are looking beyond China to less developed nations for sourcing, says Mark Michaels, chief commercial officer at Damco. Michaels discusses supply chain risks around the expansion into less developed areas and the pressure on providers to deliver service comparable to that in mature markets.

Surveys conducted by McKinsey and Company indicate that supply chain management is becoming a higher priority in boardrooms at the same time the job is becoming more challenging and complex. McKinsey Principal Yogesh Malik identifies issues for supply chain managers to address now and trends to watch.