Green Logistics Innovation for Emerging Markets Driving Competitiveness and Shared Value 2025

A successful green logistics transition relies not only on technology and infrastructure but also on a skilled and motivated workforce. This includes equipping workers with the skills and knowledge to thrive in low-carbon digital logistics environments, e.g. training workers in areas such as automation system operation and digital supply chain management. It also involves cultivating behavioural changes, for example prioritizing sustainability in decision-making and day-to-day operations, which affects drivers, warehouse staff, fleet managers and logistics planners alike. Together, these efforts ensure that sustainability becomes an integral part of logistics practices. Design, contextualize and deliver cross-sector training using digital tools: Governments, industry associations, leading enterprises and vocational institutions could co-design contextualized training programmes for emerging markets. These focus on, for example, new energy vehicles, smart equipment and carbon management, with particular emphasis on frontline roles such as truck drivers, warehouse operators and dispatchers. Enhancing digital literacy is equally critical, and hands-on training in digital tools/systems and telematics platforms needs to be made accessible to workers to ensure inclusive participation in the digital economy. In parallel, cultivating a new generation of professionals with integrated expertise across logistics, energy, digital technologies and finance is essential to driving system-wide transformation and innovation. Build green behavioural incentives into the logistics workforce: In addition to skills development, enabling behavioural change is vital to accelerating the green transition at the organizational level. Logistics companies could integrate sustainability considerations into their decision-making by embedding behavioural incentives into daily operations and performance management systems. These can include green performance bonuses, energy-saving points systems for drivers, gamified carbon reduction challenges and/or team-based sustainability scorecards. When well-designed, such mechanisms not only improve environmental outcomes but also increase employee engagement, morale and retention. Moreover, linking individual actions to measurable sustainability goals creates a shared sense of ownership and accountability, turning the workforce into active agents of the green transition rather than passive recipients of top-down mandates.3.3 Upskill the workforce Linking individual actions to measurable sustainability goals creates a shared sense of ownership and accountability, turning the workforce into active agents of the green transition rather than passive recipients of top- down mandates. CASE STUDY 9 Siemens harnesses AI to build a future-ready workforce and enable people to stay resilient and competitive Siemens has harnessed AI-empowered digital technologies to accelerate industry sustainability transformation. The comprehensive hardware and software technology, like digital twins, and software-defined automation and electrification support and empower industries and society to be more sustainable. Additionally, Siemens invests in workforce upskilling, cultivating future-ready skill development ecosystem partners and ensuring people stay resilient and competitive. –Empowering industries’ high-quality growth with cross-domain know-how and expertise: Siemens aims to reach 3 million people in business ecosystems and society with learning offerings focused on digitalization and sustainability by 2030. –Open digital business platform: Siemens Xcelerator marketplace integrates innovative technology from Siemens and esteemed partners, sellers and developers, making it easier for companies to navigate digital and sustainable transformation. –Learning offerings across industries: For example, Siemens 1847 industrial learnings empowers engineers, like those in the logistics and manufacturing industry, with comprehensive skill advancement in industrial automation and digitalization, e.g. exclusive access to more than 6,000 technical videos, articles and live expert-led Q&A sessions . –AI-enabled automatic grab ship unloader: Through the integration of automation with AI vision, high-risk on-site grabbing operations are transformed into safe, indoor remote mode. Customized remote training and a crane simulation platform equip operators with the skills to perform complex tasks efficiently, resulting in reduced safety risks, shorter operation times and fewer equipment failures, with an operation automation rate increase from 50% to 80%. Source: Siemens interview and document review. Green Logistics Innovation for Emerging Markets: Driving Competitiveness and Shared Value 27