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Goedang

An inventory price prediction system using LSTM for 7-day sales trend forecasting.

So, what's this?

Goedang is an inventory price prediction system developed as a Bangkit Academy capstone project.
This project focuses on forecasting 7-day sales and price trends to support better inventory planning and business decision-making.

The system leverages a deep learning time-series model and exposes predictions through a backend API, enabling integration with inventory management systems.

Key Features

  • 7-day sales and price trend forecasting using LSTM
  • Robust data preprocessing pipeline (missing data handling & normalization)
  • Optimized training and inference performance
  • Backend API for serving model predictions
  • Designed for inventory planning and decision support

Technologies used in this project

  • Python
  • TensorFlow
  • LSTM (Deep Learning)
  • Flask
  • REST API

Notes

This project emphasizes applied machine learning, end-to-end pipeline design, and real-world business use cases for inventory management.