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  • In view of increasing legal requirements, sanction regulations and heightened public interest, companies are strategically strengthening their focus on sustainability. Under the Supply Chain Act or the new EU CSR Directive, it is therefore not just a matter of a company’s direct environmental impact, but also of Scope 3, i.e. the indirect emissions along the supply chain. Hence, if companies seek to achieve a net-zero objective, their efforts to reduce emissions must also focus on Scope 3. We discuss how environmental aspects can be integrated into the SCM strategy in order to advance the decarbonization of the entire value creation process.

  • Supply chain management encompasses all the steps involved in delivering a product or service from production to the end consumer. The longer and more complex a global supply chain is, the greater the risk of disruption between the extraction of raw materials and the point of sale (POS). So how can companies set up to be as resilient as possible in order to respond to volatile consumer behavior and rapidly changing economic conditions? In our latest article on the blog, we discuss the Lean and Agile models for supply chain management and explain how companies can benefit from the advantages of both strategies with a hybrid approach.

  • In the globalized business world, supply chain optimization is crucially important for companies. The focus has shifted significantly in recent years: instead of concentrating exclusively on raising internal efficiency, meeting customer expectations is increasingly becoming the focus of strategic corporate alignment. Nowadays, customers appreciate being able to trace the route and origin of goods in order to make fact-based decisions about their purchases. In our blog article, we explain how real-time transparency in supply chain management (SCM) can help to significantly improve the customer experience.

  • Digital supply chain management represents a paradigm shift in the design and management of supply chains. In order to overcome the challenges and complexity of today’s value chains, companies are increasingly relying on innovative technologies and analytical tools. The latter enable them to monitor the entire supply chain in real time and react immediately to changes. We discuss how digital SCM is changing operational processes and what role predictive analytics plays in this context.

  • Global business processes are in a constant state of flux. This means that the requirements for modern supply chains are becoming increasingly complex. In order to maintain a balance between corporate stability and security on the one side and a flexible adaptation to changing market conditions and technological developments on the other side, business leaders are increasingly turning to hybrid supply chains. The latter combine different logistics approaches to ensure efficiency, resilience and flexibility. In this article, we explain which models of hybrid supply chains are available and what advantages and challenges they entail.

  • As a key component of Supply Chain Management, Supplier Management refers to the strategic management and control of a company’s relationships with its suppliers. Punctuality, quality and sustainability in particular play a decisive role in the selection and evaluation of the right suppliers, as these aspects automatically impact procurement. In this article, we explain how you can utilize smart supplier management and thus optimize purchasing processes. Further, we discuss the role that data exchange and transparency play in this context.

  • Coordinating and monitoring international supply chains and cross-border logistics is a challenge. Freight forwarders need to deal with different customs regulations, trade agreements and laws, while at the same time demands for environmentally friendly and sustainable transport solutions are rising. Freight forwarding is therefore increasingly using technology in order to simplify and streamline processes: Digital transformation has significantly changed the way goods are moved. We discuss how the different areas of freight management can be optimized with the help of digital solutions.

  • Not only are companies constantly exposed to new challenges in their operating business – they also need to remain agile with regard to increasing sustainability criteria. This enhances the willingness to rethink and adapt supply chain processes: Green logistics aims to integrate environmental sustainability into all phases of logistics activities and thus makes a positive contribution to environmental protection. In our latest article on the blog, we discuss what options companies have to implement sustainability goals along their supply chain and what challenges need to be mastered in the process.

  • Supply chains are becoming ever more complex: legal regulations, increasing sustainability requirements and higher customer expectations entail that the individual phases of a product cycle from manufacture to delivery can now no longer be viewed in isolation from one another. To ensure that a product is available at the right time in the required quantity and quality, upstream and downstream processes must interlock seamlessly and smoothly. This requirement is supported by a symbiosis of Supply Chain Visibility (SCV) and Supply Chain Risk Management (SCRM), as it not only provides companies with valuable knowledge about their supply chain processes, but also gives them planning security and enables them to benefit from greater resilience to unexpected events.

  • Supply chains are not only becoming more complex, but also more digital: Sensors, IoT, telematics or automated systems are capturing more and more aspects of logistics processes. With Big Data, an exponentially growing flood of data from various sources is generated and analyzed every day, but it is often too large or too fast-moving for conventional data processing tools. The solution is efficient data management that helps companies capture, organize, store and manage all relevant information. We explain how companies can benefit from Big Data and data management and why it is important to continuously train employees in data literacy.

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