MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074432 A) filed by Cvr College Of Engineering on June 16, 2026, for Deep Learning Framework For Predicting Emerging Consumer Trends In Digital Markets.
Inventors include Dr. Marepalli Radha; and G Venkata Rama Lakshmi.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a predictive framework for identifying emerging consumer trends in digital markets using Deep Learning techniques. The system collects and processes large-scale data from multiple digital sources, including e-commerce platforms, social media interactions, online reviews, and transaction records. The collected data undergoes pre-processing, feature extraction, and representation learning to generate structured input for predictive modeling. A deep learning-based model is trained using historical and real-time market data to detect hidden consumer behavior patterns and forecast future trends. The framework continuously updates its learning process to adapt to changing market conditions and evolving customer preferences. The predicted results are presented through analytical reports and visualization modules to support business decision-making. The invention improves forecasting accuracy, enhances market intelligence, and enables proactive strategic planning for digital commerce environments.
Disclaimer: Curated by HT Syndication.
