Method for Constructing a Lateral Material Sourcing Database

Description:

This technology revolutionizes traditional supply chains by focusing on hyperlocal sourcing of materials typically overlooked or discarded within communities. Using advanced AI to analyze public and contextual data alongside geographic information—such as addresses, coordinates, and regional identifiers, the tool identifies novel sourcing opportunities embedded in local environmental, cultural, and social contexts. It connects users with localized waste streams and surplus resources, enabling sustainable material discovery integrated with community infrastructure.

Key Advantages:

• Enables sustainable sourcing by utilizing local waste and re-purposable materials
• Integrates geographic and contextual data for precise, location-specific material identification
• Reduces dependency on centralized, industrial supply chains
• Supports circular economic principles by uncovering non-obvious local resource flows
• AI-driven analytics enhance discovery of novel material sources linked to community characteristics
• Overcomes limitations of traditional centralized supply chains
• Reduces waste by identifying and repurposing discarded or surplus local materials
• Addresses the lack of visibility into hyperlocal material streams
• Bridges geographic and cultural gaps in material sourcing
• Supports environmental sustainability and community resilience

Market Opportunities:

• Local manufacturing and production using community-based materials
• Waste management and recycling industries seeking new resource streams
• Sustainable construction and material sourcing for green building projects
• Circular economic initiatives focused on resource reuse
• Urban planning and community development integrating localized material flows

Stage of Development:

Applied Research

Patent Status:

Pending