Intellectual Property India Publishes Patent Application for Novel System, Design And Method Of An Artificial Intelligence- Based Predictive Decision Support System For Smart Logistics And Sustainable Supply Chain Management

MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089094 A) filed by Jeppiaar Institute Of Technologyjit on July 22, 2026, for Novel System, Design And Method Of An Artificial Intelligence- Based Predictive Decision Support System For Smart Logistics And Sustainable Supply Chain Management.

Inventors include Dr Veeramani G; Anly Jenisha J; Aron A; Arul Anish Mon M; Bestus Jerief H; Hemavathi S; Maheshwari K; Sri Thulasiram R; and Yuvaraj S.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: 6. ABSTRACT OF THE INVENTION The patent disclosure covers Novel System, Design and Method of An Artificial Intelligence-Based Predictive Decision Support System for Smart Logistics and Sustainable Supply Chain Management. The present patent discloses an Artificial Intelligence-Based Predictive Decision Support System for Smart Logistics and Sustainable Supply Chain Management. The invention integrates Artificial Intelligence (Al), Machine Learning (ML), Internet of Things (loT), Digital Twin technology, and cloud analytics to enable intelligent, realtime logistics decision-making. The system collects and analyzes data from enterprise systems, GPSenabled vehicles, warehouses, traffic conditions, weather forecasts, suppliers, and customer demand. An Al prediction engine generates optimized recommendations for demand forecasting, inventory management, supplier selection, route optimization, warehouse operations, and delivery scheduling. A self-learning module continuously improves prediction accuracy based on operational outcomes, while an Explainable Al (XAI) module provides transparent and interpretable recommendations. The invention further incorporates a sustainability optimization module to minimize fuel consumption, carbon emissions, and operational costs. The proposed system enhances supply chain visibility, operational efficiency, disruption management, resource utilization, and customer service performance. The invention provides a scalable, intelligent, and sustainable decision support platform applicable to manufacturing, retail, healthcare, e-commerce, transportation, ports, and third-party logistics industries.

Disclaimer: Curated by HT Syndication.