Demand Projection System Using Linear Regression
KKMSIML-based demand & spare-parts forecasting for KMSI Service Division using Linear Regression.
About this project
A demand projection system based on Machine Learning using statistical Linear Regression, implemented in the Service Division of KMSI. The system forecasts service demand and spare part requirements based on multiple business variables. The model utilizes historical machine usage data, customer profiles, coal price trends, and other operational parameters to generate reliable demand projections. This implementation improves operational efficiency, minimizes overstock and stock-out risks, and strengthens medium- and long-term business planning.
Tentang proyek ini
Sistem proyeksi permintaan berbasis Machine Learning yang menggunakan Linear Regression statistik dan diterapkan di Divisi Service KMSI. Sistem ini meramalkan permintaan layanan dan kebutuhan suku cadang berdasarkan berbagai variabel bisnis. Model memanfaatkan data historis penggunaan mesin, profil pelanggan, tren harga batu bara, dan parameter operasional lainnya untuk menghasilkan proyeksi permintaan yang andal. Implementasi ini meningkatkan efisiensi operasional, meminimalkan risiko kelebihan dan kekurangan stok, serta memperkuat perencanaan bisnis jangka menengah dan panjang.
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