AI Predictive Analytics: Accurate Forecasting for the Future
AI Predictive Analytics is the technique of estimating future results and trends with the help of data, statistics and machine learning. By learning patterns from old and current data, it gives intelligent estimates of "what can happen next", making decisions fast and data-driving. How does this work? (Process) Data Collection - Making data from ERP/CRM, web analytics, social media, IOT sensor and transaction logs. Data cleaning and feature engineering - removal of missing value, fixing duplicates, scaling/encoding and making relevant features. Modeling- Learning patterns from Regression, Decision Tree, Random Forest, Grade-Grade Boosting, Aryima/Prophet or Deep Learning (RNN/LSTM, transformers). Deployment and Monitoring- Running models in production, tracking performance and re-training on data/concept drift. Key benefits AI Predictive Analytics Demand Forecasting: Inventory optimizes in retail/manufacturing, decrease in stock-out and overstock. Customer...