MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631000656 A) filed by Sudip Chakravortti; Krishnendu Ghosh; and Debashis Deoghoria, Medinipur, West Bengal, on Jan. 3, for 'system and method for ai-driven multi-sector on-demand workforce allocation with escrow, tracking, and insurance.'
Inventor(s) include Sudip Chakravortti; Krishnendu Ghosh; and Debashis Deoghoria.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a computer-implemented, AI-driven multi-sector on-demand workforce allocation system providing a unified mobile and web platform for hiring skilled, semi-skilled, and unskilled workers including labourers, mechanics, caregivers, nurses, cleaners, electricians, beauticians, and future service categories. The system comprises worker onboarding with digital KYC verification, client request submission, an AI-based job matching engine, GPS-based proximity and tracking, an escrow-enabled payment wallet, and a rating and feedback mechanism. The AI engine allocates workers using weighted parameters including skill-task fit, proximity, availability, urgency, pricing, and a reliability index derived from historical performance. Payment is held in escrow until completion confirmation and feedback, after which settlement is executed to the worker wallet with fraud controls and invoicing. The system supports multilingual, low-literacy interfaces and optional QR-based mutual authentication. A welfare module enables job-specific insurance and rule-based long-term mediclaim eligibility."
Disclaimer: Curated by HT Syndication.
