Digitization of manufacturing supply chains offers benefits from increased efficiency to enhanced visibility, greater agility, better collaboration, stronger compliance and security, scalability, support for sustainability, and improved decision-making based on data-driven insights. It can also reduce costs and, potentially, improve customer satisfaction.
But it is not all plain sailing, with challenges to successful digitization including high implementation costs, integration complexity, supplier and partner adoption, data quality and accuracy, and regulatory compliance. It can also be difficult to turn existing systems into tools that prevent costs as well as track them, and demonstrate ROI.
This webinar will review the challenges and opportunities of digitized supply chains and discuss approaches to successful outcomes. It will also cover best practice implementation processes, the roles of AI and Generative AI across the supply chain, and how to achieve optimal outcomes while ensuring ability to make changes and scale.
Watch On-Demand to find out more about:
- Approaches to digitizing manufacturing supply chains
- Challenges of achieving successful outcomes
- Practical solutions to resolve these challenges and deliver ROI
- The role of AI and Generative AI in the supply chain
- The benefits of getting it right, penalties of getting it wrong
Our Speakers
Vijay Sanikal
IEEE Senior member, Independent Researcher, Thermal Simulation Integration Engineer| Product Owner - AI/ML
General Motors
Vipul Aggarwal
Supply Chain Specialist, AGM logistics
Autoliv India Private Limited
Sree Mangalampalli
Vice President of Digital Transformation Solutions
FourKites
Moderator:
Sarah
Underwood
Webinar Host
Finelight Media
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