Inventory Optimization Model Design with Machine Learning Approach in Feed Mill Company

Abstract

This article aims to address the impacts that companies can have with the application of machine learning to carry out their demand forecasts, knowing that a more accurate demand forecast improves the performance of companies, making them more competitive. The methodology used was a literature review through descriptive, qualitative and with bibliographical surveys in International Journal from 2010 – 2022 by different authors. Findings show that the references prove that demand forecasting with the use of machine learning brings many benefits to organizations, for example, since the results are more accurate, there is better inventory management, consequently customer satisfaction for having the product at the right time and place. Further, this article concludes and suggests that the use of machine learning is able to identify variables that affect the demands, with this it makes a forecast closer to reality and helps managers to make more accurate decisions, improving strategic planning and supply chain management. of company supplies.

Application Design of Stock Inventory of Meatball Serving Ingredients for Anhel MSME Bakso

“…Implementing an integrated information system aims to enhance the efficiency and effectiveness of material inventory management. This condition would enhance Bakso ANHEL's ability to make well-informed decisions about the procurement of raw materials while expediting the production process and improving customer service (Tong, DeCroix & Song, 2020;Ubaldo, Albines, Salazar, Andrade-Arenas & Cabanillas- Carbonell, 2022;Nasution, Matondang & Ishak, 2022).…”