> For the complete documentation index, see [llms.txt](https://descipher.gitbook.io/doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://descipher.gitbook.io/doc/examples/synthesis-report.md).

# 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.