Nissan is revamping its product portfolio and adjusting its operations across the Americas region as part of its Re:Nissan recovery plan. A strong focus on cross-functional collaboration and digitalisation has helped to integrate new production and logistics quickly, whilst enabling teams to better navigate risk and complexity across the supply chain. 

In this session, Gerardo de la Torre will share exclusive insight into how the carmaker’s digital and data strategies have helped Nissan to transform manufacturing and export capabilities, illuminate the tier-N and total supply chain and set new standards for managing compliance and tariffs across suppliers and globally. He will also discuss potential opportunities for new technology and the next steps in supply chain digitalisation across the Americas. 

Join this event for key insights into:

• Insights into Nissan's successful reallocation of manufacturing capacity and the digital systems enabling seamless transitions across the Americas region
• How digital tools and data accuracy are helping to achieve rigorous tier-N mapping to adhere to trade compliance and mitigate tariff impacts
• Strategies for driving unified supply chain resilience across regional operations and global corporate standards
• Ensuring strong standards and partnerships for stronger supplier relationships and mitigating supply chain risks
  
   

To manage and mitigate risk, compliance and disruption across the supply chain, automotive manufacturers are seeking ways to have deeper visibility and planning, from tier-N suppliers through to vehicle logistics and final customer delivery. But achieving such transparency in today's volatile landscape requires a willingness to invest in the right tools to provide visibility with high interoperability, to work with suppliers and competitors on common processes, and to build trust.

This session will explore how OEMs, suppliers and logistics providers can better work together to transform supply chain and logistics from linear, siloed operations into dynamic, interconnected networks capable of rapid responses and adaptations. It will also emphasise how having a clear road map focused on capabilities like real-time tracking and supply chain mapping, combined with the right skills in data analytics and AI, can unlock resilience, efficiency and better customer service. 

Attend this session to hear from supply chain leaders’ reveal how they developed their strategic plans and roadmaps, including:

• Assessing current capabilities, operations, technologies and workforce skills
• Having the right tools and technology to capture and integrate seamless visibility and technology layers.
• Leveraging analytics, AI and ML into existing systems to support decision making and strategy
• Transforming from fragile, reactive siloed systems to resilient, intelligent networks across the end-to-end supply chain

In this keynote, Volkswagen’s logistics leadership will share a roadmap for practical and impactful logistics digital transformation and upskilling. They will show how, after just a year, the carmaker has made major progress in replacing manual, inefficient processes with automated workflows and data visualisation, such as reducing spreadsheet-based truck rerouting or defect management.  

At the heart of the approach has been a focus on key skills and people. To propel these projects, Volkswagen set up an internal taskforce of logistics and digital ‘whiz kids’ – a small group of tech-focused employees from across teams such as production control, programme planning, transport and in-house logistics to help develop solutions and accelerate implementation.

The team will share concrete outcomes on process automation, as well as how logistics teams achieved these outcomes in a short time without extra development costs. They will also share insights into how manufacturers can better foster a culture of digital democratisation and continuous learning – and why that will be vital to more advanced AI and data analytical integrations for Volkswagen.

As vehicle manufacturers, supply and logistics partners digitalise further, there is an increasing recognition that having quick, reliable and trustworthy insight into logistics data and milestones can be one of the biggest enablers of success – or a big barrier without the right tools, standards or skills. 

In this session, hear from logistics and IT experts on the foundational data, system and talent strategies needed to shift from information gathering towards being able to deliver real business intelligence, reduce risks and optimise operations, whether across inbound, plant and warehouse, or vehicle logistics. 

Leaders will discuss the key data, systems and partnerships that can accelerate practical and impactful digitalisation, from enhanced network planning, production control and real-time transport and inventory control towers. They will also explore how having the mindset, skills and expertise in place can help accelerate opportunities, including across AI and digital twin capabilities. 

Hear from key stakeholders who will describe how to align data, tools and skills with business goals in logistics, including:  

• Building customised data management and analytics solutions to optimise supply chain operations, business needs and technology capabilities
• Empowering business and logistics leaders with the skills and tools to interrogate and use data effectively
• The use of state-of-the-art logistics systems and tools to capture and analyse visibility
• Turning data strategy into critical insights through digital twins, control towers and command centres

Whilst removing uncertainly in forecasting is unrealistic, strategic plans can be made to better sync updates and changes, manage unexpected events, and improve decision making across automotive supply chain management and logistics. This session will explore strategies for improving and digitalising demand and supply chain planning, including to help stakeholders better balance inventory levels, improve agility and anticipate issues in real-time.

Key leaders will discuss process and technology improvements to improve forecasting, optimise logistics networks and mitigate the bullwhip effect. These will include developing more detailed planning information, the use of control towers, machine learning and autonomous agents. 
Attend this session to gain best practice knowledge on how companies are transforming supply chain planning, including:

• Developing and measuring shared production and inventory objectives across plants and the supply chain, including harmonised data and visibility 
• Enriching planning information and detail to capture the right input and changes from across an organisation
• Using analytics, AI and agents to help predict, simulate and manage demand, strengthen supply chains and reduce risks
• Using better demand forecasting and planning to improve logistics and supplier relationships and communication