AI-Based Food Waste Tracking Solutions

Rice University's Housing & Dining Department has issued a Request for Information (RFI) No. 2025-08-031 seeking AI-based food waste tracking solutions for its campus dining operations. The procurement targets innovative technological solutions capable of tracking and analyzing food waste in high-volume dining environments, with an initial pilot implementation focused on two serveries serving up to 1,800 meals per day. Desired technology includes smart waste tracking scales, overhead ID cameras or sensors, predictive analytics dashboards, and API/data export tools, with an optional carbon emissions tracking component. Key requirements encompass compatibility with bulk production and self-service dining formats, ability to track waste by various parameters, real-time and historical dashboards, and potential integration with Culinary Digital platform. Evaluation criteria will assess technical fit, operational usability, integration capabilities, security, pricing structure, sustainability features, higher education experience, and alignment with ISO requirements. The RFI was released on August 26, 2025, with responses due by September 8, 2025, at 5:00 PM Central Time. Potential vendors may be invited to provide optional online presentations between September 15-17, 2025, with a selection for pilot implementation expected by September 19, 2025.

The RFI does not explicitly specify set-aside designations or restrictions on responding organizations. The document indicates this is an information-gathering exercise, and no direct awards will be made from this solicitation. No incumbent vendors are specifically mentioned, though the RFI indicates a requirement for potential integration with Rice University's existing Culinary Digital platform. While no precise budget range is provided, the scope suggests a pilot program targeting two of five residential serveries, implying a potentially limited initial investment. The technology solution is expected to support Rice University's long-term sustainability and carbon reduction goals, with potential for future expansion across all five residential serveries. The RFI emphasizes technological capabilities such as waste parameter tracking, predictive analytics, and potential emissions monitoring, suggesting a comprehensive approach to food waste management and sustainability tracking.