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.
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