15 Reasons you need ERP on the Salesforce Platform

whitePaper | October 19, 2022

The 1980s saw the Western World’s academics and manufacturers cast their eyes eastward to the miracle of Japanese manufacturing. Specifically, its low cost, high quality, and low stock. As a result, Japanese products were successfully flooding the Western World’s market and were seen as “World Class”.

whitePaper | November 17, 2022

The following White Paper seeks to paint a picture of the ideal warehouse of the future and highlight how the warehousing and automation industries can unite to overcome challenges and achieve positive advancements for the entire warehouse sector. Based on insights from CEOs, CTOs, Country Managers, Directors, and academics with expertise in the fields of warehouse management, logistics, and robotics

whitePaper | April 18, 2023

Deploying dedicated cellular-enabled industry 4.0 solutions can generate an operational cost savings ROI of 10x to 20x over 5 years. In aggregate, these solutions can generate 8.5% in Operational Cost Savings, which equates to US$200 to US$600 per sqm per year for a factory or industrial site.

whitePaper | August 19, 2020

Industry 4.0 makes manufacturing “smart” through emerging technology innovations such as data analytics, autonomous robotics, and AI. These technologies drive increased productivity and performance throughout the value chain. These datadriven innovations require information technology (IT) systems deployed on-premise, often referred to as edge IT or edge computing. This edge IT can increase the risk of downtime for automation systems in some cases.

whitePaper | November 2, 2022

This white paper entitled "Artificial Intelligence in Manufacturing" reports the use of Artificial Intelligence (AI) in European manufacturing, and its potential to enhance competitiveness and technological leadership in the future. The paper is based on research conducted by the Artificial Intelligence in Manufacturing NETwork (AIM-NET), which represents the viewpoint of the manufacturing community on the achievements and challenges of AI solutions. The document covers topics such as AI in manufacturing processes, robots, machines, and operations support in manufacturing, and AI in manufacturing systems. It also includes discussions on cross-cutting aspects such as regulation, education, systems engineering, and data augmentation. The paper also presents the maturity achieved TRL levels of existing AI-based applications in manufacturing, typical KPIs used to assess performance, and barriers and limitations to wide adoption. It also provides a roadmap for future work on AI, with efforts needed in short-term and long-term time horizons. Overall, the paper provides a comprehensive overview of the current status and future vision of AI in manufacturing for policy makers, practitioners, and researchers.

whitePaper | January 1, 2022

In the past five years, there’s been a significant shift in what’s expected from manufacturers: in particular, speed to market and increasing production demand. Many have been seriously affected by COVID-19, and are still looking to keep costs down while delivering a high-quality product. And although Europe’s industrial production had grown year-on-year prior to 2020, facilities are battling against increased customer demand, supply chain delays, and shortages of materials