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  • README
  • I. Introduction to Karsa Labelizer
    • 👋What is Karsa Labelizer?
    • 📈Why Segmentation Matters?
    • ⚖️Karsa vs. Alternatives
    • 📚Key Concepts
  • II. First Steps
    • 🖥️Interface Overview
    • 🚀Quick Start
    • ♻️Service Lifecycle
    • ⚙️Operation Manager
  • III. Cluster Designer: Creating Clusterization
    • ✂️Introduction to Cluster Designer
    • ➕Creating New Clusterization
    • 🥅Setting Limits and Goals
    • 🎚️Parameter Selection
      • Parameters Overview
      • Parameter Selection Strategy
      • How AI Works in Cluster Finding
    • 🏷️Custom Label Setup
    • 🔄Product Dynamics Management
      • Movement Limits
      • New Products Strategy
    • ▶️Launch and Monitoring
  • IV. Analysis and Optimization
    • 📊Introduction to Analysis and Reports
    • ✅Clusterizations Overview
    • 🔍Cluster Details
    • 📦Products in Cluster
    • 🕒Product Movement History
  • V. Deployment and Strategy
    • 🚀Introduction to Deployment and Strategies
    • ✅Production Deployment
    • Performance Max Integration
    • Post-Deployment Optimization (Learning Phase)
    • 🛡️Stability Management Strategy
  • VI. Troubleshooting and FAQ
    • 🔧Common Issues and Solutions
    • Frequently Asked Questions (FAQ)
  • VII. Appendices
    • 📚Glossary
    • 🔗References
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  • How Does Operation Manager Work in the Context of Clusterization?
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  1. II. First Steps

Operation Manager

PreviousService LifecycleNextIntroduction to Cluster Designer

Last updated 9 days ago

Operation Manager is an important component of Karsa Labelizer that provides you with an overview of the status and progress of key operations performed by the system in the background. Its main use for you as a user will primarily be in monitoring the process of creating new clusterizations.

What is Operation Manager For?

  • Monitoring operation status: The main function of Operation Manager is to display the current status of long-running operations, typically the clusterization process that you launched from .

  • Process transparency: It gives you confidence that the system is working and allows you to estimate when the operation will be completed.

  • Diagnostics (if needed): If there were to be an issue with completing an operation, information from Operation Manager can be useful for our support team in troubleshooting.

How Does Operation Manager Work in the Context of Clusterization?

  1. Launching clusterization: After you configure and launch the creation of a new clusterization in , Karsa Labelizer initiates a complex computational task in the background.

  2. Data export to GMC (manual and automatic): For clusterizations in 'Run' status, Karsa Labelizer ensures automatic daily export of the supplementary XML feed to Google Merchant Center (GMC). This feed is generated to the URL set in the 'Setup' section. Additionally, Operation Manager may offer the option of manually triggering an export. This is useful if, for example, you've just switched a new clusterization to production status and want to generate an XML feed immediately without waiting for the regular automatic update.

  3. Display in Operation Manager: This running task (clusterization operation) appears in Operation Manager. You should see at minimum:

    • Operation identification (OperationType).

    • Current status (e.g., "Running", "Analysis in progress", "Completed", "Error").

    • Possibly the start time or estimated completion time.

  4. Clusterization duration: As mentioned in , the clusterization process itself usually takes 2 to 15 minutes, depending on the volume of data and complexity. During this time, you can monitor its progress in Operation Manager.

  5. Operation completion: After successful completion of the operation, the status in Operation Manager is updated (e.g., to "Completed") and the newly created clusterization appears in your category structure, ready for .

Where Can I Find Operation Manager?

You can find Operation Manager in the 'Tools' tab under the 'Operation manager' item.


For most users, Operation Manager will primarily serve as an information panel to confirm that a launched clusterization is proceeding as expected. Detailed technical logs are usually not displayed here, but it provides peace of mind and an overview of background processes.

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