AIMMS conducted research to assess how supply chain teams perceive the accuracy of their forecast and discover the tools and techniques they are using to upgrade the forecasting process. In this report, you will find helpful benchmarks and insights offered by your peers on the latest demand forecasting techniques, forecast granularity and periodicity, and expectations for the future.

Network design as a discipline is complex and too many businesses are still relying on spreadsheets to design and optimize their supply chain. As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. This Buyer’s Guide helps you find easy-to-use technology to become more proactive and less reactive when it comes to network design and optimization.

Learn which supply chain applications are the best for your organization.

What does it mean to become a digital business or digital supply chain?

Life science companies are adopting innovative cloud technology to provide a single source of truth for end-to-end supply chain decision-making.

Leading companies are constantly managing competing supply chain priorities.

The sustainable supply chain is the future supply chain.

Whether you realize it or not, Machine Learning is having a profound impact on your everyday life.

The digital economy is upending all industries and processes, placing a premium on speed, customer satisfaction, personalized products, and collaboration.

Industry leaders are 3.5 times more likely to take advantage of analytics. This drive toward intelligent business is redefining how organisations need to operate if they hope to be successful.

With the advent of Big Data, companies now have access to more business-relevant information than ever before and are using Hadoop to store and analyze it.

Are you ready? The supply chain is moving towards automation - and even awareness - that will change how products are ordered, manufactured, shipped and consumed. This evolution is called Industry 4.0, and it's happening now.

How do you move from “what happened” to “what would happen if”? Most supply chains struggle with the first, and the latter is wishful thinking. What stage are you in? Find out where your supply chain is on the maturity curve.

Common problems like data access and quality are preventing you from taking the first step towards transformation. Modern visibility providers are putting band-aids on bad data, giving you the ability to make misinformed decisions. Solve the data first.

People think end-to-end visibility is simply aggregating data from multiple sources, storing it in one place, and serving it up. But once you have that data, how do you use it? This "Data Problem" is the biggest issue in supply chain today; it's also your biggest opportunity.

Machine Learning and AI are not magic bullets to solve all supply chain problems. Despite many software companies slapping AI on everything the reality is that there are a lot of hurdles to overcome before AI can be effective. Learn how to leap them.

Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.