The first supply chain decision engine designed for the age of AI agents — graph-based, deterministic, explainable, API-first, open source
Time series analysis and sales forecasting of Walmart store data using structured analytical methods. The project includes demand trend analysis, holiday vs non-holiday comparisons, and store-level moving average analysis to support inventory and staffing decisions.
A production-grade machine learning system for forecasting weekly retail store sales using real-world business data. Includes automated pipeline, business analytics, explainable AI, and an interactive forecasting dashboard.
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