DAPS: Dairy analysis and prediction system using technical indicators

Abstract

Businesses in today's globalized world are required to react on trouble and opportunities in a highly flexible way. Hence, companies that are able to analyze the current situation of their business processes, forecasting their most optimal progresses and with the forward-thinking mechanism they will have a decisive competitive advantage. This paper addresses the problem of analyzing data collected by the dairy production with the aim of optimizing the supply chain management and maximizing profit in the manufacturing of milk and other dairy items. The amount of data from dairy records continuously increases due to the usage of modern systems in farm management, requiring a technique to show trends and insights in data for a rapid analysis. To help dairy manufacturer and to make usage of big data analytics for decision-making, a targeted effort is developed which is a feasible and cost-effective technique entitled as “DAPS: Dairy Analysis and Prediction System”. For detailed study of current scenario in market system uses technical analysis displays such as MACD (Moving Average Convergence Divergence) and RSI (Relative Strength Index). The blend of MACD and RSI facilitate the monitoring of real-time progress of a production as well as futuristic analysis.