MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621051027 A) filed by Moresh Madhukar Mukhedkar; Anuja S Patole; Pari Nandedkar; Girish Masule; Dr. Shweta Koparde; and Dr. Vivek Patil on April 22, 2026, for Forecasitfy Smart Demand Forecasting With Concept Drift Detection.
Inventors include Moresh Madhukar Mukhedkar; Anuja S Patole; Pari Nandedkar; Girish Masule; Dr. Shweta Koparde; and Dr. Vivek Patil.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: FORECASTIFYX is an adaptive Al-based demand forecasting system designed to maintain accuracy in dynamic and changing environments. The system uses machine learning models to predict demand and continuously monitors data for concept drift. When drift is detected, the model is automatically retrained to adapt to new patterns. The system stores data and model history in a cloud platform and provides an interactive dashboard for visualization, alerts, and performance tracking This solution ensures real-time adaptability, improved forecasting accuracy, and efficient decision-making in modern business environments. FORECASTIFYX also features a cloud-based architecture for scalable data storage, model management, and performance tracking. An interactive dashboard provides real-time visualization of forecasts, drift alerts, performance trends, and retraining history logs. The system operates in a continuous learning loop, enabling it to adapt to new patterns and improve over time This solution enhances decision-making, reduces forecasting errors, and provides a robust, scalable approach for modern demand forecasting in industries such as retail, supply chain, and e-commerce
Disclaimer: Curated by HT Syndication.
