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ChatGPT can be used for Supply Chain data analysis. However, you need to verify all ChatGPT answers because of the prevalent data hallucination problem. To analyze Supply Chain data, you need to export it to CSV first, which can be challenging if you need to analyze large amounts of historical data. Also, you will need to repeat this process every time your data changes. You will also need to aggregate all multi-dimensional data to get meaningful answers from ChatGPT.
Alternatively, you can use Narrative BI to analyze your Supply Chain data. Narrative BI lets you connect your Supply Chain data in a few clicks, and ask questions about your key Supply Chain metrics in the AI Data Analyst tool. More importantly, Narrative BI automatically generates a feed of personalized insights, so it answers most of your questions before you even ask them.
ChatGPT can be used for Supply Chain data analysis. However, you need to verify all ChatGPT answers because of the prevalent data hallucination problem. You will also need to aggregate all multi-dimensional data and clean it to get meaningful answers from ChatGPT.
Alternatively, you can use Narrative BI to analyze your Supply Chain data. Narrative BI lets you easily upload your Supply Chain data, and ask questions about your key Supply Chain metrics in the AI Data Analyst tool.
More importantly, Narrative BI automatically generates a feed of personalized insights, so you can integrate your data sources and get answers most of your questions before you even ask them.
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