Top 20 Supply Chain Management Software Suppliers 2017

The market for supply chain management (SCM) software, maintenance and services continued its growth in 2016, generating more than $11.1 billion, a 9% increase over 2015 revenues, according to the research firm Gartner.

That total includes applications for supply chain execution (SCE), supply chain planning (SCP) and procurement software. Since the market’s 2% decline in 2009, the market has posted double-digit growth in four of the past six years, according to Gartner. The SCM market is expected to exceed $13 billion in total software revenue by the end of 2017 and exceed $19 billion by 2021, Gartner forecasts, with software as a service (SaaS) enabling new growth opportunities.

“It continues to be a good year for the supply chain overall,” says Chad Eschinger, managing vice president of Gartner. “The Cloud-based segment grew 20%, which is consistent with what we’ve seen in recent years.”

The push for Cloud capabilities also fueled some of the acquisition activity over the last year. Eschinger cites examples such as Infor’s acquisition of GT Nexus, Kewill’s acquisition of LeanLogistics, Oracle’s acquisitions of LogFire and NetSuite, and E2open’s acquisitions of Terra Technology and, more recently, Steelwedge.

“Broadly speaking, we’re seeing cyclical consolidation,” Eschinger says. “For some companies it’s a land grab, for others it’s an effort to add functional and technical underpinnings to go to the Cloud or provide a fuller complement of Cloud capabilities.”

Suite vendors are increasingly inclined to offer end-to-end solutions, Eschinger says, tying in customer relationship management capabilities, replenishment, network design, clienteling and more. In addition to supply chain efficiency, these solutions are also aimed at improving and standardizing the consumer’s experience.

“The Amazon effect continues to wreak havoc in retail and for manufacturers selling direct-to-consumer,” Eschinger says. “Everyone wants real-time visibility into inventory, so data and the associated analytics continue to be front and center for most organizations.”

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Transforming Integrated Planning & Supply Chain Processes with Augmented Intelligence Capabilities

In conjunction with the announcement, o9 released an eBook titled, “Who Gets the Cheese?”

Aptly named after one of the greatest business books of all time (Who Moved My Cheese?), this resource details one of o9’s systems for optimally allocating resources across initiatives and brands at consumer goods companies.

Founded by executives, practitioners and technologists that have led supply chain innovations for nearly three decades, the o9 team has been quietly developing a game-changing Augmented Intelligence (AI) platform for transforming Integrated Planning and Supply Chain processes.

The team has deployed the AI platform with select clients, including:

  1. Bridgestone Tires
  2. Asian Paints
  3. Restoration Hardware
  4. Party City
  5. Del Monte
  6. Aditya Birla Group
  7. Caterpillar
  8. Ainsworth Pet Foods

Speaking on behalf of o9 Solutions, Co-founder and CEO Chakri Gottemukkala said, “While executives we work with hear the buzz around technologies for data sensing, analytics, high performance computing, artificial intelligence and automation, they are also living the reality of slow and siloed planning and decision making because the enterprise operates primarily on spreadsheets, email and PowerPoint.”

Read more at Transforming Integrated Planning & Supply Chain Processes with Augmented Intelligence Capabilities

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Commentary: Managing risk in the global supply chain

The World Economic Forum defines global risk as an uncertain event that, if it occurs, can cause significant negative impact for several countries or industries within the next 10 years.
Global supply chains create both opportunity and risk. Some of the macro issues we face both in day-to-day operations and future planning include cybersecurity, terrorism, climate change, economic instability, and political discord.
More specific to executives who manage global supply chains, risk is more apparent, and on a micro-basis potentially more consequential in the short term, in areas such as but not limited to reducing spend, leveraging sourcing options, creating sustainability, political and currency instability, government regulations in the U.S. and abroad, trade compliance management, free trade agreements, energy costs, and what the incoming Trump administration will mean for global trade.
Since the recession in 2008-2009, we have witnessed a serious uptick in companies worldwide reviewing their operational exposure and then creating risk strategies in managing these vulnerabilities. Risk exposure can negatively impact margin, profits, growth strategies, operational stability and personnel maintenance.
For companies operating in global supply chains the risks are vast, convoluted and often unanticipated. As a result, we tend to be unprepared for the impacts.

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Supply Chain & Big Data ÷ Analytics = Innovation

Google the term “advanced analytics” and you get back nearly 23 million results in less than a second.

Clearly, the use of advanced analytics is one of the hottest topics in the business press these days and is certainly top of mind among supply chain managers.

Yet, not everyone is in agreement as to just what the term means or how to deploy advanced analytics to maximum advantage.

At HP, the Strategic Planning and Modeling team has been utilizing advanced operational analytics for some 30 years to solve business problems requiring innovative approaches.

Over that time, the team has developed significant supply chain innovations such as postponement and award winning approaches to product design and product portfolio management.

Based on conversations we have with colleagues, business partners and customers at HP, three questions come up regularly – all of which this article will seek to address.

  1. What is the difference between advanced and commodity analytics?
  2. How do I drive innovation with advanced analytics?
  3. How do I set up an advanced analytics team and get started using it in my supply chain?

Advanced analytics vs. commodity analytics

So, what exactly is the difference between advanced analytics and commodity analytics? According to Bill Franks, author of “Taming The Big Data Tidal Wave,” the aim of commodity analytics is “to improve over where you’d end up without any model at all, a commodity modeling process stops when something good enough is found.”

Another definition of commodity analytics is “that which can be done with commonly available tools without any specialized knowledge of data analytics.”

The vast majority of what is being done in Excel spreadsheets throughout the analytics realm is commodity analytics.

Read more at Supply Chain & Big Data ÷ Analytics = Innovation

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How to recover from supply chain disruptions

Risk mitigation is a crucial component of supply chain management. Preparing for potential disruptions is one of the most important yet challenging tasks faced by company managers, especially since there is an abundance of possible situations threatening operations at all times.

Unfortunately, damage control planning is something many companies tend to neglect. Last year, a study conducted by the supply chain management team at the University of Tennessee found that only about 50 percent of businesses have a recovery process in place to reference in the event a facility’s operations are interrupted.

Importance of response planning
Companies of all sizes are susceptible to dangerous disruptions, with global supply chains being the most vulnerable. Which is why it is surprising that the report also discovered nearly all, or 90 percent, of surveyed organizations do not take potential risks into consideration when outsourcing.

It’s understandable that managers are generally more focused on improving day-to-day operations, such as customer service, identifying cost-savings opportunities and driving revenue. However, disruptions along the supply chain have the power to severely impact financial growth and overall performance.

Between natural disasters, security breaches, safety and regulatory compliance and system failures, it is virtually impossible to anticipate what will be affected and when attacks may occur. But the best approach for supply chain teams to take is implementing strategic risk management practices that will help minimize monetary losses associated with disasters.

Read more at How to recover from supply chain disruptions

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New Solutions for Supply Chain Risk Management: A Case Study

We are entering an era where it is becoming possible to detect supply chain risks much more quickly. A case in point is offered by AGCO. AGCO AGCO +1.96% is a global leader in the design, manufacture and distribution of a wide range of agricultural equipment. In a discussion with AGCO’s Jan Theissen, Director of Strategy and Methods, and Jake Stone, Manager of Supply Chain Risk and Contract Management, I learned about this public, Atlanta headquartered corporation’s journey to improve their sourcing and supply base risk management capabilities.

AGCO’s products are marketed under a number of well-known brands, including Challenger, Fendt, GSI, Massey Ferguson and Valtra. The manufacture and assembly of their products occurs at 34 locations worldwide and historically each of these brands was managed as a separate supply chain. Further, because the company had grown by acquisition, these different supply chains used more than 10 different enterprise resource planning (ERP) solutions for direct sourcing.

Beginning in 2012, Mr. Theissen, a newly appointed procurement leader, led a transformation of the sourcing organization. AGCO moved from a fragmented and decentralized procurement to a centralized commodity management structure in order to better leverage buying synergies and increase the overall maturity level of this organization. Implementation of standardized roles and responsibilities, and global policies and procedures, were supported by an extensive change management program. The company formed a School of Purchasing to further develop the capabilities of the organization.

The risks associated with sourcing became part of each category manager’s job; these managers became responsible for supplier risk management, not just savings. Mr. Stone was brought into establish new, systems, processes and capabilities to manage procurement risk. One thing Mr. Stone put in place was a clear communication and escalation process to deal with risks once detected.

Read more at New Solutions for Supply Chain Risk Management: A Case Study

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The Next Revolution in Supply Chain Management

In the first revolution, the concept of supply chain, as opposed to logistics, was put forth. Constraint based optimization tools for the extended supply chain were developed to support the new philosophy. As this was going on, Lean and Six Sigma approaches to improving capabilities, not just at the factory level, but in other internal departments, as well as across the supplier and 3PL base, were gaining in strength.

It took a while, but it was recognized technology was not enough. The key process in SCM is the sales and operations planning (S&OP) process that balances supply with demand intelligently. S&OP itself is going through a second rev and we now talk about integrated business planning (IBP), a form of S&OP that is more closely aligned with finance. A related “revolution” that improves the demand half of S&OP is based on the concept of demand driven supply chains; this is the idea that it is important to not just create a forecast based on historical shipments, but having real visibility to demand at the point of sale to improve demand management.

In recent years, the topic of supply chain risk management has emerged and new processes and ideas have begun to be codified and turned into a distinct discipline. An emerging topic is supply chain sustainability; and indeed in many corporate social responsibility reports the topics of both supply chain risk management and sustainability are addressed.

Read more at The Next Revolution in Supply Chain Management

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