# Synthesis Report User Query: *How to reduce food waste?* **Synthesis Report Output:** **Recent Trends in Research:** * In the past few years, there’s been a marked increase in studies on AI-driven inventory systems for food waste reduction up to 25% reduction in retail settings. * Research has evolved from basic exploratory studies to applied technologies, yet few studies address household food waste specifically. **Industry Focus:** * Leading companies (e.g., Company X and Company Y) are investing in AI solutions for supply chain management, but there is little focus on integrating blockchain or IoT for real-time data in food waste reduction. **Gap Identification:** * While academic research highlights predictive inventory management, there is a notable gap in patents and studies addressing household food waste through real-time AI solutions. * Combining literature and patent insights suggests a need for frameworks that integrate automated data processing with live monitoring. **Underexplored Areas:** * There is limited research and few, if any, patents on using decentralized systems or IoT devices to track and reduce household food waste in real time. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://descipher.gitbook.io/doc/examples/synthesis-report.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.