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    AI-Driven Supply Chain Scenario Planning & What-If Simulation

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    Sold by: Dedicatted 
    Dedicatted's GenAI on AWS builds digital twins for supply chain what-if simulations, stress-testing disruptions like port delays or demand spikes. Planners test inventory, sourcing and logistics decisions before committing to them, to lower cost and improve resilience.

    Overview

    Service Overview

    Volatile geopolitics, weather, and demand make static supply chain plans obsolete within weeks. Dedicatted’s solution creates AI-powered digital twins on AWS, ingesting ERP and IoT data to run real-time scenarios (e.g., “What if the Suez Canal is blocked again?”) and recommend optimal responses. Graph ML models are trained and served using Amazon SageMaker to map your multi-tier network for end-to-end visibility. Operational analytics and dashboards are delivered via Amazon QuickSight.

    What We Deliver

    • Interactive what-if simulator for inventory, supplier shifts, routing.
    • Optimized plans with cost/risk tradeoffs.
    • Automated alerts and playbook actions.
    • Integrations with SAP, Oracle SCM, Kinaxis.

    Key Features

    • Scenario engine: Simulate 100s of variables (tariffs, strikes, shortages) with Monte Carlo forecasting.
    • Digital twin: Real-time graph of suppliers, factories, DCs with predictive demand.
    • Optimization solver: Recommends inventory buffers, alternate sourcing, expedites.
    • Natural language interface: ask "what is the impact of a three-week port delay?" and get visuals and reports

    Business Results

    • Lower inventory without more stockouts, measured against your baseline.
    • Logistics savings from better routing and sourcing decisions.
    • Faster, rehearsed responses to disruptions.

    Credentials

    Dedicatted holds the AWS Retail Consulting and Consumer Goods Services Competencies and the AWS AI Services Competency.

    Highlights

    • Digital twin simulations for disruptions using Bedrock & graph ML.
    • What-if analysis for inventory, sourcing, routing optimization.
    • Lower cost and build resilience by testing decisions before you make them.

    Details

    Delivery method

    Deployed on AWS
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    Support

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    Contact

    Support channels

    • Email: any time, with a response within two business days.
    • Google Chat: real-time answers from our support team.
    • Phone: business hours, Monday to Friday, 9 am to 5 pm EST.

    What support covers

    • Technical support for the service, including help with installation, configuration and troubleshooting.
    • Guidance and best practices for your DevOps processes and AWS cloud adoption.