Ufuk Altan

Considering the various planning and management problems in various industries like furniture, retail, textile and food; it is common to run into whether inventory, production, sales and, therefore, revenue management issues. Companies require a consistent and an accurate system that resolves demand forecasting obstacles. In this article; SARIMA, LSTM and Prophet algorithms are used to build three different machine learning models and later scheduling concept is introduced to establish continuous learning and development.