MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083385 A) filed by Nitte Meenakshi Institute Of Technology, Nitte Deemed To Be University, Bengaluru; Ashish Chhabra; Chirag Setty; Divyarajsinh Matieda; Hazim Uddin; Archana Mathur; and Lakshmana on July 07, 2026, for An Intelligent Ml-Powered Operational Analytics Platform For Dark Store Micro-Fulfillment Centers With Integrated Demand Forecasting, Anomaly Detection, And Route Optimization.
Inventors include Nitte Meenakshi Institute Of Technology, Nitte Deemed To; Ashish Chhabra; Chirag Setty; Divyarajsinh Matieda; Hazim Uddin; Archana Mathur; and Lakshmana.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT OF THE INVENTION Title: An Intelligent ML-Powered Operational Analytics Platform for Dark Store Micro- Fulfillment Centers The present invention relates to an intelligent ML-powered operational analytics platform for dark store micro- fulfillment centers. The platform comprises data input layer (100); integrated analytics modules (200) including demand forecasting engine (210) with ARIMA/Prophet/XGBoost, anomaly detection system (220) with Isolation Forest/Z-score, affinity analyzer (230) with Apriori, route optimizer (240) with Nearest Neighbor/2-opt, and event simulator (250); machine learning engine (300) with auto model selection (310) and MLflow tracking (320); intelligent decision engine (400) with proactive alerts (410) and recommendations (420); and interactive dashboard (500). The platform transforms raw operational data into actionable insights, achieving stockout rates below 5% (610), on-time delivery above 95% (620), picking time reduction by 30% (630), and lost sales reduction by 60% (640), enabling proactive operations management for rapid delivery of online grocery orders.
Disclaimer: Curated by HT Syndication.
