Grab and OVO are utilizing an artificial intelligence (AI) technology-based system to support monitoring the implementation of the Free Nutritious Meal Program or MBG initiated by the company.
The MBG program initiated by Grab and OVO has benefited more than 1,100 students and 200 teachers in 11 special schools in the Greater Tangerang area.
"In implementing the MBG Program in the Greater Tangerang area, we have started implementing an AI-based monitoring system developed by our own internal team and established the MBG Command Center ," said Grab Indonesia Country Managing Director Neneng Goenadi in a press statement on Thursday.
The MBG Command Center is a technology-based program operational monitoring center that enables real-time monitoring to ensure that the food provided meets health, hygiene and safety standards.
The monitoring system is designed to ensure the safety, hygiene and quality of food served to school children specifically in the MBG Program initiated by Grab and OVO.
The AI-based system not only supports monitoring of food preparation to serving, but also enables early detection and rapid response to problems.
The MBG Command Center run by Grab and OVO is supported by AI-based smart CCTV that is able to recognize and analyze important elements in program implementation in real-time .
With AI-based visual processing, the system automatically detects sanitation completeness, number of personnel, and food handover procedures.
CCTV footage is automatically analyzed by AI, but there is still a special monitoring team that carries out manual checks to ensure the data produced is correct and accurate.
CCTV is only active during the preparation process until the food is handed over to the Driver Partner to maintain a balance between surveillance functions and privacy protection.
In addition, the digital reporting forms used by MSMEs and schools in implementing the program are directly connected to the integrated Command Center dashboard.
The Integrated Digital Dashboard that serves as a command center for this entire process allows cross-location monitoring in one real-time view.
