Carbon Navigation's product development is informed by research across carbon reduction, artificial intelligence, food waste, lean manufacturing and circular-economy systems. Our objective is to move research beyond publication by translating evidence into practical digital solutions.
AI-Powered Lean Manufacturing
This research explores how artificial intelligence and lean-manufacturing approaches can support operational efficiency and carbon reduction in the food industry.
Platform link: The research contributes to WasteX Stream's approach to identifying operational causes, improving decision-making and generating data-driven recommendations.
Carbon-Reduction Technologies
This research examines existing and emerging approaches for reducing carbon emissions across different industries and systems.
Platform link: The findings support WasteX Stream's wider approach to carbon measurement, reduction planning and climate decision support.
Food Waste-to-Biogas Research
Research presented at ICSDI 2026 examined food-waste-to-biogas opportunities using operational and geographical datasets.
Platform link: This work supports WasteX Stream's focus on landfill diversion, anaerobic digestion, resource recovery and circular-economy pathways.
Machine-Learning Forecasting
Research presented at IEEE EEEIC 2026 explored machine-learning-based forecasting of food waste for waste-to-energy and carbon decision support.
Platform link: This research contributes to the planned forecasting and predictive-intelligence capabilities of WasteX Stream.
Carbon Navigation connects research with product development through a structured pathway that helps ensure development is informed by technical evidence and practical business requirements.
Academic and applied research across AI, carbon and waste systems.
Translating findings into platform requirements and user workflows.
Engineering and building WasteX Stream's digital capabilities.
Deploying tools that food-service operators can use every day.
Waste reduction, margin protection and structured sustainability reporting.
Academic and applied research across AI, carbon and waste systems.
Translating findings into platform requirements and user workflows.
Engineering and building WasteX Stream's digital capabilities.
Deploying tools that food-service operators can use every day.
Waste reduction, margin protection and structured sustainability reporting.
Our current research and innovation interests span artificial intelligence, sustainability systems and practical climate technology, all anchored to the operational reality of food-service businesses.
Carbon Navigation welcomes engagement with universities, researchers, data specialists and sustainability organisations working across artificial intelligence, waste, carbon and circular-economy innovation.