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VendorMatch ensures efficiency in supplier finance through AI-powered processes, benefiting buyers, suppliers, and banks. Learn about the $12B invoice fraud problem and the $20B manual workflow costs in this innovative system. Discover the market opportunities and benefits for different target groups. Explore real-world use cases, results of lender API integration, and insights into VendorMatch score components. Visit getscore.vendormach.com for more information.
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Data Meetup @ Byte Academy Chaney Ojinnaka and Ivan Kotorov ww w . v endormach.com
Powering supplier finance while improving efficiencies for buyers VENDORMACHMISSION
Market Drivers $12B Invoice Fraud SYSTEM COSTS $20B (80% enterprise overhead) MANUAL WORKFLOWS 31% SMBS underbanked. Out of the system INADEQUACY
Market Opportunity 3 Distinct Target Groups Business continuity Reputational / financial cost 3rd party compliance BUYERS Liquidity Customer lifetime value New sales opportunities SUPPLIERS New profit centers Better underwriting data KYC compliance BANKS
Approach Processes: Neural networks: Thousands of invoices Unpaid and Paid Truthfulness check, probabilities Counterparty insight Mapping relationships AI and Invoices
VM Trust Score Model OPEN/REGISTRY CREDIT BUYERS SUPPLIER
Real World Use Cases: Lender API Results: Multiple Double blind Lending and insurance Banking more SMBs
Appendix: Insights Current score and interpretation Score components • Unpaid and paid revenue (liquidity) • Supply chain age and relationships • Historical events