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AIDS/AIMLForecasting / Retail AnalyticsIEEE Final Year Projects
Retail Demand Forecasting and Reorder Assistant
Temporal Fusion Transformer (TFT) & Prophet time-series sales forecasting model for retail stock optimization.
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Project Technical Overview
Evaluates historical SKU sales data, seasonal trends, weather variables, and promotional events to predict product demand 30 days ahead, minimizing stockouts and overstock holding costs.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
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