Supply Chain Analytics

With the recent release of COVID-19 vaccines, there has been much debate around the success of the strategy (or lack thereof) currently in place.

GTM has evolved from a collection of standalone supply chain and enterprise applications into an integrated solution that ties them all together, ideally on a common platform.

AIMMS's supply chain analytics solution helps HEINEKEN streamlines data management.

It’s an exciting era for retail as companies continue to focus on creating and providing a great experience for their customers, while driving innovation and market share.

According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey, the use of predictive analytics was set to double by 2018.

Big Data is one of the hottest topics in the technology world today, Chief Information Officers (CIOs) across the globe strive to exploit the vast amount of data they have within their organizations to transform how they do business.

One platform, multiple configurable Apps, infused with the power of sophisticated analytics, so you can self-enable your entire supply chain team.

Deploying analytics to make business decisions is generating tremendous interest and results for companies. The ability to make decisions based on data is particularly important in supply chain and operations where the tradeoffs are complex.

Much of the analytics effort to date has focused on the demand side of the supply chain equation. Yet analytics can be applied just as effectively to the supply side to assure reliable and cost effective inventory, capacity, and supplier capabilities. The insights here can help companies build a supply analytics competency that will lead to better business decisions.