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ABOUT EVENT

This conference aims at presenting future auto supply chains, characteristics and thrust of twin engines – sustainability and digitalization. Key questions that would be addressed include:

  1. What are the challenges in achieving supplier diversity?
  2. How recent advancements in connected auto supply chains are shifting the horizons of tactical planning, productivity, safety, and efficiency?
  3. Is automotive industry leading democratization of artificial intelligence for supply chain planning?

Session I: Revisiting supplier diversity and renewed KPIs

Indian auto makers are no different from others. Global supply chain crisis impacted countries that relied on strong economic signals. No auto company is spared from the risk of neglecting supplier diversity. More than ever, this parameter perhaps will be most important KPI for many organizations in near future.

  • What are the key challenges in managing diverse supplier base?
  • What are the new evaluation parameters to assess for global suppliers?
  • How attractive is India in global auto components market?

Session II: Intelligent transport systems and connected supply chains

Connected supply chains are critical for success and tend to provide competitive advantage as well. New generation automotive designs are highly impressive and open new vistas in global transportation. Advanced technologies tend to go beyond monitoring the assets to tracking cargo, assigning drivers, and meeting regulatory compliance.

  • How global multimodal transportation platforms can connect all stakeholders in auto supply chains?
  • Can auto supply chains reduce carbon footprint with intelligent transportation management systems?
  • To what extent the connected vehicles and auto supply chains improve safety, driver capabilities and reliability?

Session III: Intelligent logistics for responsive supply chains

While economic policies and geopolitical stability is factored in long range planning, medium and short-range planning require regular monitoring of data to analyse signals. The output of such real time data analysis would enable auto supply chains to prepare with actions such as production replanning and transport re-routing.  

  • How logistics service providers are augmenting auto supply chains to improve responsiveness?
  • What will be the key enablers of auto supply chain control in future?
  • Is there any evidence of successful use of Artificial intelligence to achieve auto supply chain responsiveness?

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