MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053975 A) filed by Abhishek Chaudhary; Danish; Alok Yadav; Bhavesh Kumar Singh; and Prof. Pushpa Choudhary, Greater Noida, Uttar Pradesh, on April 28, for 'system and method for ai-powered drug expiry monitoring and waste risk prediction in retail pharmacies.'
Inventor(s) include Abhishek Chaudhary; Danish; Alok Yadav; Bhavesh Kumar Singh; and Prof. Pushpa Choudhary.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention The present invention relates to a system and method for AI-powered drug expiry monitoring and waste risk prediction in retail pharmacies. The system comprises an Android-based pharmacy inventory application, a cloud database storing user-specific medicine batch records, a deterministic expiry classification module, and a machine-learning waste risk prediction module. Each batch record includes medicine name, batch number, expiry date, quantity, category, expiry status, AI risk label, and waste probability. The deterministic module calculates days remaining and classifies batches as expired, warning, or safe, thereby enabling First-Expired-First-Out dashboard sorting. The machine-learning module processes category, quantity, days to expiry, month, and sales velocity to predict whether a batch is likely to become waste before expiry. A dynamic recalculation module updates risk scores after each sale and through periodic background execution. The invention reduces manual audit time, improves expiry visibility, supports secure cloud synchronization, and enables low-cost deployment on commodity mobile devices."
Disclaimer: Curated by HT Syndication.
