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.