Building resilient supply chains: A data-driven journey with AWS (ANT103)

Here is a detailed summary of the video transcription in Markdown format:

The Journey of Supply Chain Optimization with AWS

Business Challenges in Various Industries

  • Automotive Industry:

    • Supply chain complexity
    • Shortage of critical components
    • Leveraging generative AI to streamline contract renewals
  • Manufacturing:

    • Siloed data across multiple entities
    • Leveraging AI and generative AI to break down silos and improve information sharing
  • Pharmaceutical:

    • Speeding up the process from molecule to market
    • Improving R&D costs and time
  • Retail:

    • Complex inventory management
    • Leveraging Amazon's e-commerce knowledge to improve processes
  • Fashion:

    • Challenges with fast fashion and unsold inventory

A New Approach: Data-Driven Supply Chain

  • Transitioning from a linear, siloed approach to a data platform-centric approach

    • Allowing easy access to data and collaboration across the supply chain
  • Collaborating with AWS to help customers, such as:

    • Relocating facilities in different countries
    • Conducting visits to Amazon Fulfillment Centers to identify improvement opportunities

Supply Chain Use Cases

  1. Control Tower:

    • Creating a centralized tool to provide visibility and enable "what-if" scenarios
    • Example: Supply arbitration use case to optimize supplier selection and production planning
  2. Yard Management and Dock Scheduling:

    • Monitoring and optimizing truck arrival and loading/unloading processes
    • Improving supplier collaboration and contract compliance
  3. Industrial IoT Integration:

    • Integrating industrial IoT data to drive operational improvements
    • Example: Reducing lead times and increasing machine utilization in the energy sector
  4. Digital Twin:

    • Leveraging digital twins to visualize and optimize facility operations
    • Example: Providing real-time visibility and maintenance insights for a manufacturing facility

Approach to Engage Customers

  1. Assessment Phase:

    • Conducting a 2-3 month assessment to understand the customer's current state, weaknesses, and improvement opportunities
    • Providing a report with recommendations for a win-win-win approach (customer, Capgemini, and AWS)
  2. Collaboration and Partnership:

    • Working together with the customer and AWS to identify and implement solutions
    • Emphasizing the importance of a joint, long-term journey (typically 1-3 years)

In summary, Capgemini, in collaboration with AWS, is helping customers in various industries optimize their supply chains by leveraging data-driven approaches, innovative technologies, and a collaborative partnership model to achieve sustainable improvements.

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