MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611122222 A) filed by Panipat Institute Of Engineering And Technology Piet; Mr. Gaurav Gulati; Dr. B. Persis Urbana Ivy; Dr. Dinesh Singh Dhakar; Neha Rani; and Er. Rajeev Kumar on October 12, 2026, for Intelligent System For Regional Sales Prediction Using Adaptive Demand Pattern Analytics.
Inventors include Mr. Gaurav Gulati; Dr. B. Persis Urbana Ivy; Dr. Dinesh Singh Dhakar; Neha Rani; and Er. Rajeev Kumar.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: [045] The present invention discloses an intelligent computer-implemented system for regional sales prediction using adaptive demand pattern analytics. The system harmonizes heterogeneous sales, inventory, promotional, regional-context and external demand records into canonical region, product and time structures while preserving prediction-time data availability. Multi-scale features representing trend, periodicity, volatility, intermittency, promotion response, supply constraints and channel behaviour are generated and converted into regional demand-pattern representations. A demand regime and controlled similarity relationship between regions are determined, and a prediction engine dynamically combines region-specific and selectively shared prediction components to produce a regional sales forecast with an uncertainty indicator or prediction interval. A consistency processor may reconcile hierarchical forecasts and enforce operational constraints. Subsequently observed sales are compared with stored predictions to determine region-conditioned residual behaviour and drift, in response to which model weights, similarity relationships or retraining priorities are adaptively updated. The architecture thereby improves computerized forecasting for heterogeneous, sparse and changing regional demand conditions. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
