Enhancement: Integrate real-world dataset for validation

[chripiermarini]

Description

The current pipeline is tested on synthetic or controlled data.
To better assess robustness and realism, we want to integrate and test the system using real-world data.

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Goals

• Validate the pipeline on realistic data
• Identify limitations and assumptions
• Test scalability and data compatibility

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Possible Data Sources

• Public datasets (e.g. Kaggle)
• Time series demand datasets
• Transportation / logistics network datasets

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Proposed Steps

1. Identify a suitable dataset
2. Adapt the ingestion layer if needed
3. Run the full pipeline end-to-end
4. Analyze results and document findings

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Acceptance Criteria

• At least one real dataset successfully integrated
• Pipeline runs end-to-end without errors
• Basic analysis of results documented
• Key limitations and assumptions clearly stated