We Gave ChatGPT Our Raw Sales Data and Asked It to Build a Dashboard. A Senior Analyst Reviewed the Results.
Last Updated on April 2, 2026 by Editorial Team
Author(s): Gulab Chand Tejwani
Originally published on Towards AI.
We uploaded 14 months of real client sales data — 127,000 transactions, 8 product categories, 12 regions — to ChatGPT and asked it to build a complete analytics dashboard. Then I sat down with the output and graded every single insight like I was reviewing a junior analyst’s work. ChatGPT scored 74/100. But the 26 points it lost could have cost the company $2.3 million in wrong decisions.
The argument started over lunch.
The article discusses an experiment where 14 months of sales data from a consumer goods company was uploaded to ChatGPT to generate a comprehensive analytics dashboard. The performance of ChatGPT was assessed against a senior analyst’s standards, revealing strengths in speed and coding capabilities but significant shortcomings in accuracy and business context understanding. Critical errors in data interpretation that could lead to financial losses were highlighted. Ultimately, the piece emphasizes the essential role of human analysts in validating AI outputs and making informed decisions based on nuanced insights beyond mere data analysis.
Read the full blog for free on Medium.
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