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).
Usiminas, supported by AWS Partner Enkel tackled significant challenges in freight pricing and route optimization within the steel industry. By developing a customized automation platform based on AWS services, the Brazilian steel company streamlined logistics processes, leading to a 14% reduction in costs and significant efficiency gains. The project not only cut delivery distances by 448,000 kilometers but also resulted in a notable decrease in CO2 emissions, avoiding the release of 1,577 metric tons. This project enhances Usiminas' market competitiveness and reinforces its commitment to environmental sustainability, demonstrating the positive impact of innovative solutions in the logistics sector.
Introduction: In today’s manufacturing landscape, organizations are integrating artificial intelligence (AI), machine learning (ML), data analytics, Internet of Things (IoT), and cloud computing. These technologies help improve efficiency, quality control, and innovation across various manufacturing processes. By using real-time data, predictive analytics, and automation, manufacturers can increase productivity and competitiveness in the global market. However, [...]
Co-authored by Falk Brauer, SVP, Product & Technology – CPQ, Zilliant, and Joshua Tan, Account Manager, AWS Excellent customer experience is a key reason why customers choose and continue to use a product. This is also true for software-based applications. An experience which allows productive use of the end users’ time is widely preferred. With [...]
Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.
AWS Amplify, Amazon Bedrock, and Amazon OpenSearch can be combined to create an AI-powered search engine for manufacturing that breaks down data silos, enabling faster and more accurate access to critical information across defect logs, operational data, and cost analyses, improving decision-making and operational efficiency.
In the fast-paced world of supply chain management, where economic shifts and evolving customer demands create constant pressures, efficiency and adaptability are essential. Organizations are increasingly seeking automated solutions to reduce manual processes, enhance efficiency, and improve overall performance. As previously discussed, the AWS Supply Chain solution provides the benefits of increased visibility and actionable [...]