Developer Builds End-to-End FMCG Sales Analytics Platform Using Power BI and ML

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A developer built a full-stack retail analytics solution using a dataset of 100,000 transactions from a multi-city Indian FMCG retailer covering the year 2024. The dataset spanned 21 variables including product categories, customer demographics, sales metrics, store formats, and inventory data across eight FMCG segments. The project followed a pipeline from raw data cleaning and exploratory analysis through to Power BI dashboards, regression-based machine learning, and a Streamlit web application. A key data quality challenge involved roughly 40% missing values in the customer age field, which was addressed through imputation and indicator flagging. The final solution enables users to interactively explore sales trends and generate transaction-level margin predictions through the deployed Streamlit interface.

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