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MICROSOLUTIONS
Autonomous Data Management (Vendor, Material)

Autonomous Data Management (Vendor, Material)

Key Features:

  • Self-generating algorithms generate data based on user behavior and historical data ​
  • Integrated Data Vault provides a comprehensive data repository​
  • Business Rule Repository provides best-in-class industry data management rules

    • Value Delivered:

  • Up to 85% reduction in time spent on troubleshooting
  • Up to 75% reduction in data operations costs
  • Streamlined data management processes, reduced lead times, higher data quality​
    • The AIOPS.D Execution Process
    Process Steps

    Task Execution

  • All vendor and material data is pulled in the dashboard, where AIOPS.D™ shows all the vendor and material tasks. The tasks are executed autonomously leaving the admin to only review and approve recommendations.

    • Review/Complete Tasks

  • The admin reviews the tasks and can approve/reject the recommendations at the attribute level. AIOPS.D™ self-learning feature enables it to execute similar tasks autonomously in the future.​

    • Submit Corrections

  • Admin can select the values that are correct and move forward by clicking Submit, which triggers the approval workflow in the background and executes the changes.​

    • Create a New Request

  • To create a new end vendor or material request, admin can select on ‘create a new request’. AIOPS.D™ autonomously populates the relevant form to create a new record.​

    • Submit the Request

  • Admin can review the form and confirm the details. AIOPS.D™ is able to match the existing vendors and materials as well as generate new ones as per user’s requirements. ​

    • OVERVIEW
    DESCRIPTION
    The Autonomous Data Management microsolution automates, validates, and corrects material data management data across the enterprise through accelerated data handling, ERP data monitoring, and data healing recommendations. The solution leverages AI-optimized workflows, ML-based automation, and autonomous decision-making to improve touchless operations, data self-generation, and predictive performance with an aim to standardize data governance and simplify data management.
    STORIES FROM THE AI VAULT

    Real-Time Supplier Data

    Are you demanding enough from your AI data management strategy, and can ML solve data gaps?

    SEE THE STORY

    CAPABILITIES

    Centralized Console for Data Management
    Data Healing Recommendations
    Data Self-Generation
    ERP Data Monitoring

    MICROSERVICES
    Autonomous Data Management (Vendor, Material)

    Slide to see more.

    DESCRIPTION
    The Autonomous Data Management microsolution automates, validates, and corrects material data management data across the enterprise through accelerated data handling, ERP data monitoring, and data healing recommendations. The solution leverages AI-optimized workflows, ML-based automation, and autonomous decision-making to improve touchless operations, data self-generation, and predictive performance with an aim to standardize data governance and simplify data management.
    STORIES FROM THE AI VAULT

    Real-Time Supplier Data

    Are you demanding enough from your AI data management strategy, and can ML solve data gaps?

    SEE THE STORY

    PROCESS AREA
    CAPABILITIES

    Centralized Console for Data Management
    Data Healing Recommendations
    Data Self-Generation
    ERP Data Monitoring

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