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A comprehensive Streamlit dashboard for optimizing supply chain operations. Features interactive analytics for demand forecasting, inventory management, and supplier performance.

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akeDataAnalyst/Supply-Chain-Dashboard

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Supply Chain Optimization Dashboard

Dashboard App

Project Overview

This project provides an interactive dashboard for optimizing supply chain operations. It covers Demand Forecasting, Inventory Management, and Supplier Analytics to help businesses make informed decisions regarding stock levels, future demand, and supplier performance.

The dashboard uses simulated data to demonstrate key functionalities.

Key Features

  • Demand Forecasting: Visualize historical demand and future predictions with accuracy metrics.

  • Inventory Management: Track current stock, calculate optimal safety stock, reorder points, and reorder quantities.

  • Supplier Analytics: Monitor supplier performance, including on-time delivery rates and average lead times.

  • Interactive Filters: Analyze data by product, location, supplier, and custom date ranges.

Technology Stack

  • Python: Core programming language
  • Pandas: Data manipulation
  • Prophet: Time series forecasting
  • Streamlit: Interactive web dashboard
  • Plotly: Data visualization

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A comprehensive Streamlit dashboard for optimizing supply chain operations. Features interactive analytics for demand forecasting, inventory management, and supplier performance.

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