EGUIDE:
Read this guide to learn best practices to become strategic partners with your suppliers and understand how a sourcing strategy can make or break a company.
EBOOK:
This E-Book offers best practices for SMBs and midmarket organizations evaluating ERP platforms and provides suggestions on how to avoid procurement pitfalls.
WHITE PAPER:
This white paper provides 10 steps to a seamless and profit-focused enterprise resource planning (ERP) system implementation for small to mid-sized businesses (SMBs) like yours.
WHITE PAPER:
This paper presents an overview and introduction to reverse logistics and how to manage reverse logistics in the CPG industry in an efficient manner.
EBOOK:
E-sourcing and e-procurement technology have created new opportunities to save money, improve supplier performance -- even make better products.
EGUIDE:
In 2011, there was a strong willingness to invest in technology by manufacturing organizations. However, that wasn't the only trend. In this tip guide, uncover the most popular developments in 2011 and how these trends have the potential to carry into 2012.
EBOOK:
In this eBook, learn what the newest procurement tools can do and gain a better understanding of how to move beyond indirect spend management to the direct goods that impact the entire product lifecycle.
CASE STUDY:
In order for IC Intracom to gain an enterprise-wide view of business data, the organization needed to replace its aging ERP solutions. Working with IBM Global Business Services, IC Intracom implemented the IBM Express Wholesale Distribution Solution, a qualified SAP All-in-One partner solution, hosted by IBM Applications on Demand.
WHITE PAPER:
NI platform offers high test throughput, increased productivity, and a lower cost of ownership than traditional disjoint systems or turnkey solutions based on proprietary architectures.
EGUIDE:
Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.
