Real-Time Demand Forecasting for Supply Chain Optimization

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About Course

  • Tech Stack: Python (Prophet, ARIMA, LSTM), TensorFlow, Apache Spark, Flask, AWS (Lambda, S3, Redshift), Tableau
  • Objective: Build a real-time demand forecasting system using time series models and neural networks (LSTM) to optimize inventory management and supply chain operations. The model will be trained on historical sales data, and predictions will be served via APIs for business insights.
  • Skills Needed: Time series forecasting (ARIMA, LSTM), neural networks, distributed data processing (Spark), serverless APIs (AWS Lambda), real-time visualizations (Tableau).

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