• Extremely large product universe: Millions of connector types with slight variations, making manual search nearly impossible.
• Slow lead time & opportunity loss: Manufacturers/distributors spent excessive time handling inquiries manually, reducing conversion rates.
• Complex technical data: Buyers often had technical drawings instead of part numbers, requiring advanced recognition capabilities.
• Need for a scalable B2B marketplace: A centralized, intelligent platform was needed to link buyers and suppliers efficiently.

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• Built an AI-powered search and recognition engine capable of identifying connector types from 2D drawings, 3D models, or images.
• Designed a matching algorithm that assigns a matching score and ranks results accurately.
• Developed a B2B industrial marketplace connecting buyers and suppliers directly.
• Built a seamless workflow for buyers to view full connector specifications and contact suppliers instantly.
• Implemented automation features that reduce manual processing and inquiry handling for suppliers.

Impact

• 50–60% reduction in manual work for connector manufacturers and distributors.
• Buyers can find the right connector within minutes, instead of hours or days.
• Potential to disrupt and modernize the $60 billion global connector industry.
• Accelerated buyer–supplier matching, increasing sales opportunities and reducing lead times.
• Positioned the client as a first-mover in AI-driven electronic component identification.

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