A Cutting-Edge AI Model for Transforming Supply Chain & ERP Workflows

In today's dynamic and data-driven business landscape, supply chain and enterprise resource operations demand robust, adaptive, and intelligent systems. SupplyNexFusion is an innovative ensemble-based model designed to streamline these operations by integrating diverse data sources—from ERP systems and CRM platforms to IoT sensors and transactional databases—into a unified framework. Through comprehensive data preprocessing, feature extraction, and advanced exploratory data analysis, the model leverages a combination of deep learning and conventional machine learning techniques. Notably, the proposed model achieves an outstanding accuracy of 97.35%, along with a precision of 96.87%, recall of 97.42%, and an F1 score of 97.30%. Additionally, it demonstrates excellent computational efficiency with low RMSE and MAE values of 9.00 and 7.00, respectively, and competitive training and inference times. These performance metrics not only validate the model’s ability to handle complex supply chain data but also highlight its potential to reduce operational costs and enhance decision-making processes. By providing accurate and timely forecasts, SupplyNexFusion paves the way for smarter resource planning, improved customer satisfaction, and enhanced operational resilience in an ever-evolving market environment.