Look up products for ethical risks and get better alternatives

Consumers, procurement teams, and marketplaces struggle to assess ethical risks across millions of SKUs—greenwashing, opaque supply chains, and inconsistent labels make it hard to choose or recommend better products. This pain touches a broad slice of the $4.5 trillion global e-commerce GMV where values influence purchases, from individual buyers to retailers trying to meet ESG objectives. You could build a multi-modal product-intelligence platform that lets users look up products by barcode or URL, automatically tags ethical risks (labor, carbon, deforestation, toxins), verifies claims with LLM/CV-backed evidence extraction, and surfaces higher-quality alternatives. Delivered as a consumer extension plus a B2B API and retailer integration, it could monetize via SaaS contracts, affiliate/placement fees, and data licensing—relevant if even 0.1–1% of the $4.5T GMV is addressable; your market score of 96/100 and revenue potential of 92/100 suggest strong demand. Market timing is favorable: LLMs and computer vision materially reduce the cost of tagging and claim verification, while open-data projects like Open Food Facts and GS1/brand registries increase available provenance. Competition is medium—niche players exist—but you can stand out by combining scalable AI verification, multi-source provenance, transparent, auditable explanations, and NGO or certification partnerships; the main challenges will be data sparsity across millions of SKUs, the need for high precision to avoid legal and trust risks, and initial investment in data partnerships and human-in-the-loop verification.