AWS Summit New York: Generative AI for supply chain

Supply chain management is rapidly evolving, with consumer-packaged goods (CPG) and retail organizations facing unprecedented challenges driven by dynamic customer demands, geopolitical disruptions, and market volatility. To stay ahead in this highly competitive landscape, organizations must embrace innovation and leverage advanced technologies that enable agility, resilience, and operational excellence. The AWS Summit New York, will take place on July 10th at the Jacob Javits Convention Center, and promises to be an exciting day where attendees will experience how advanced technologies like generative AI are revolutionizing industries and empowering organizations to lead in the digital era. With over 170 sessions covering a wide range of topics, the AWS Summit New York offers insights from AWS experts, builders, customers, and partners on leveraging innovations such as generative AI, analytics, AI & machine learning (ML) for driving digital transformation and infrastructure modernization.

Learn how AWS Supply Chain supports generative AI use cases

I will be hosting the following session about how AWS Supply Chain can modernize and revolutionize CPG and retail supply chain operations.

Breakout Session RCG301: AWS Supply Chain and generative AI: Transforming retail and CPG orgs

July 10, 2024 | 1:30pm – 2:30pm EST

My session will cover the transformative potential of generative AI, ML, and analytics, exploring how they can enhance visibility, predictive analytics, inventory optimization, and intelligent risk mitigation. I will address three key questions:

1. What are the major challenges of supply chain management?
2. How generative AI can be used in supply chain?
3. What the future of AI in supply chain includes?

Organizations and supply chain professionals struggle with information overload, disconnected data sources, and manual processes, leading to inefficiencies, delayed decisions, and missed opportunities. AWS Supply Chain addresses these challenges by harmonizing data across disparate systems, leveraging ML models and generative AI to build a unified data model, ingest existing supply chain data, and enable a bidirectional data flow for informed decision-making. One of the key highlights of my session will be the integration of generative AI, which enables users to access and analyze relevant data through natural language interactions. By simply asking questions, supply chain teams can retrieve and process necessary information, perform analyses, and receive comprehensive responses, complete with visual representations and additional insights.

Generative AI introduces a new level of intelligence and automation, simplifying complex processes and enabling rapid response to evolving market conditions. Personalized dashboards and digests from generative AI provide tailored, actionable insights, addressing information overload and manual data analysis needs. Organizations can also achieve faster issue identification and more informed decisions by leveraging AI to identify exceptions and provide explanations. Future capabilities like scenario modeling and planning, will allow supply chain professionals to evaluate various scenarios and analyze the potential impact of proposed changes, fostering collaborative planning and alignment among stakeholders.

These generative AI capabilities are built with a strong foundation of security and data privacy in mind. The AI models are trained on customers’ proprietary data, ensuring that sensitive information remains confidential and is not used to improve models for other organizations. Access controls and governance processes also safeguard data quality, regulatory compliance, and secure access.

Why this session is important for organizations

This session is for every customer that has experienced supply chain disruptions, struggled with fragmented data sources, or faced challenges in adapting to rapidly changing market conditions. It is designed for organizations seeking to enhance visibility, drive informed decision-making, and enable new levels of operational excellence. This session also provides insights for organizations seeking to harness the transformative potential of generative AI, enhance supply chain visibility, optimize inventory levels, and drive predictive analytics.

Attendees will discover how generative AI revolutionizes supply chain management by enabling natural language interactions that empower professionals to rapidly access centralized data, identify exceptions, and analyze scenarios. This facilitates data-driven decision-making, allowing organizations to proactively mitigate risks, streamline operations, and adapt swiftly to market dynamics. By leveraging generative AI’s intelligent automation capabilities, supply chains gain the agility and resilience to navigate disruptions while delivering superior customer experiences.

Conclusion

As disruptive forces continue to reshape supply chains, organizations must embrace innovation to maintain a competitive edge. AWS enables transformation by integrating advanced technologies like generative AI into supply chain management. AWS Supply Chain equips organizations with a future-ready foundation for operational excellence by unlocking the synergy between machine intelligence and human expertise. Join my session to explore how generative AI’s context-aware analytics, collaborative planning, and proactive risk mitigation can foster a resilient, customer-centric supply chain strategy aligned with your unique business needs.

If you are unable to attend, please visit AWS Supply Chain to discover how advanced technologies are unlocking transformative new supply chain capabilities. You can also visit the AWS Workshop Studio for a self-paced technical overview of creating an instance, ingesting data, navigating the user interface, creating insights, and generating demand plans.