Executive Summary Today, the performance of an organization hinges more than ever on the effectiveness of flows between, and amongst, trading partners. It is not easy. The supply chain is not linear, and the relationships extend across geographic borders and industry sectors. Outsourcing relationships have grown in the last decade; however, the automation of these networks has not kept pace. In the words of one respondent interviewed for this report in a facilitated workshop to review the data, “Today, we connect trading partners through spreadsheets, email, phone and fax. It is antiquated. I liken it to baling wire, chewing gum and duct tape. I need solutions that can synchronize and harmonize data across trading partners in real-time. My operating committee does not think that it is sexy to invest in B2B solutions, but it is needed. Today, it is almost impossible for us to understand the manufacturing status of purchase orders, and have accurate information readily on supply chain visibility of in-transit shipments. As a result, we make the wrong decisions, and have unnecessary wait times to get information.” These comments echo the findings in this study. Respondents operate value networks, but they struggle to get to the data they need. The outsourcing of logistics is greater than manufacturing. Eighty-one percent of companies outsource logistics. The volume of outsourced logistics is 48% on average. In contrast, 66% of companies outsource manufacturing. The outsourced volume manufacturing volume varies, but averages 15%. While the networks are complex, and the goals are many, progress is hard to track. This leads many supply chain leaders to ask, “What is the current state? What is the opportunity?” Answering these questions is the goal of this report. Let’s start with the current state. As seen in Figure 2, the average respondent in this report believes that the supply chain today is more controlled and global than compared to two years ago. While they have made improvements in agility and proactivity, there is much more left to do. The largest challenges are in the use of outside-in data to improve channel sensing and reduce risk. While the supply chain today has made progress in transactional efficiency, companies are less competent at sensing opportunities and mitigating risks.