RS Group, a global product and service solutions provider for industrial customers, faced challenges with its on-premises infrastructure, which limited its ability to scale and innovate. RS Group partnered with AWS Partner Tech Mahindra and Amazon Web Service (AWS) for a full lift-and-shift migration to the cloud. The migration, of which the digital production platform move was completed in only 48 hours without any unplanned downtime, has improved RS Group’s performance up to 150 percent. It has accelerated the time it takes to make infrastructure changes up to 95 percent and lowered technical debt by 12 percent. Operating on AWS has also empowered RS Group to scale efficiently, enhance resilience, and continuously innovate with AWS services.
Kärcher, based in Germany, is a global manufacturer of cleaning equipment. It operates with more than 160 subsidiaries in 82 countries worldwide. The company wanted to ensure that it could deliver products to its customers on time and at competitive costs. Given the disruptions in global supply chains since the COVID-19 pandemic, the company has undertaken to optimize the responsiveness of its supply chain with a cloud-first approach to operations. It also decided to build a new manufacturing facility in Vietnam. Kärcher wanted this greenfield facility to be cloud-native to provide flexibility while eliminating hardware purchases, reducing efforts needed for maintenance, and improving insights into operations. It worked with AWS Partner Zoi to build that solution on Amazon Web Services (AWS), eliminating an initial six-digit investment in hardware, license, and maintenance costs and ready to start production in just 11 months.
DS Smith is a London-based supplier of paper and packaging solutions with 2024 revenues of £6.8 billion and is a FTSE 100 company. It has facilities in more than 30 countries employing more than 30,000 staff. Over the last several decades, much of its growth has come from acquisitions, leading to a complex mix of disparate legacy systems. To help it get better insights on how it was spending its procurement budget, it connected with AWS Partner Exponentia.ai to create a procurement spend analytics (PSA) solution on Amazon Web Services (AWS).
Marie Lepoutre, Lior Perez, Niklas Gruber,
2025年5月12日
Organizations across industries face the challenge of processing a substantial volume of invoices while maintaining accuracy and compliance. Holcim, a global leader in innovative and sustainable building solutions, tackled this challenge by developing an innovative solution using Amazon Bedrock that transformed their invoice processing operations. The Challenge Holcim’s operations in one European country managed a [...]
Hannover Messe 2025 hosted 127,000 visitors, 4,000 exhibitors, 1,600 speakers, and over 1 million online visitors over the week of March 31st to April 4th in Hannover, Germany. The show facilitated great discussions between industry-leading companies and global manufacturers discussing how generative artificial intelligence (AI), automation, digitalization, and electrification are powering industrial innovation. Once again, [...]
The development of a new mine is a long process. Figures from S&P Global1 show that the average lead time is now extended to over 15 years from discovery to operations. To meet soaring demand for critical minerals, the mining industry is increasingly targeting previously mined or explored areas, and re-evaluating viability of these deposits [...]
Predictive maintenance uses data-driven strategies to anticipate and prevent equipment failures. It involves continuous monitoring of equipment using sensors and advanced analytics to enhance reliability. By predicting when failures are likely to happen, companies can implement more effective maintenance strategies, improving equipment longevity. In this blog, we explore how predictive maintenance is transforming the optimization and [...]
Discover how Capgemini and AWS collaborated to create TELme, a groundbreaking generative AI solution that revolutionizes product research and design in manufacturing. By enabling engineers to efficiently search and summarize vast repositories of technical content using natural language queries, TELme significantly reduces design lifecycle timelines and accelerates time-to-market for new products.