SCM Keeps Racing to the Cloud

The migration to the cloud is in full effect, as organizations continue to transition from on-premise solutions to cloud-delivered ones in order to benefit from all the value that cloud delivers, including faster, more economical implementations and easier solution updating and development.  However, this migration still seems to be oriented around a few core areas of an enterprise, including HR, T&E, and CRM.  But what about supply chain?


Logistics World was interested in exploring that very question, and I was fortunate to be able to discuss it with them for their article “SCM Races into the Cloud,” part of their October edition. 


The reality is that there are now a significant and ever-growing number of cloud-based platforms for all of the core areas of supply chain management, including planning, procurement, product design, manufacturing and logistics.  And these solutions still enable companies to support the sophisticated and complex requirements present in most supply chains.


Capgemini has helped many clients – large and small alike – transition from enterprise software environments to cloud-based platforms for their supply chain needs.  Is your organization ready for its own migration?  


You can find out more by reading the full article here


Related Posts


IoT industrialization – true ROI is connecting the data from devices to business process digitization

Soumen Saha
July 17, 2018
Enterprises that focus on scaling will have to take a hard look at their digital transformation program to ensure that IoT and data from devices constitute an integral part of the transformation strategy. 

SuiteWorld 2018: top five Oracle NetSuite highlights

Jasper Oskam
May 22, 2018
The amount of funds and effort that Oracle is investing in NetSuite shows that NetSuite is at the top of their priority list.
Digital Manufacturing

A sense of optimism in your business with IoT technologies

Kees Jacobs
May 10, 2018
With IoT, companies can now easily gather huge volumes of data. But are they analyzing this data intelligently? Most of them still depend on reactive analytics, which has its limitations.

By continuing to navigate on this website, you accept the use of cookies.

For more information and to change the setting of cookies on your computer, please read our Privacy Policy.


Close cookie information