Conventional credit scoring relies on formal credit history: loans repaid, credit cards managed, mortgages serviced. For Africa's estimated 50 million underbanked SMEs, which have limited formal credit histories despite years of successful trading, this creates a structural barrier to accessing trade finance. AI-powered credit scoring models use alternative data sources, including mobile money transaction patterns, airtime purchase frequency, utility payment records, and satellite imagery of business premises, to create credit scores for businesses that conventional bureaus would assess as "thin file" or no-file borrowers.
Impact on African Trade
Startups including Jumo (South Africa), Branch (Kenya), Kuda (Nigeria), and Lulalend (South Africa) have deployed AI credit models reaching millions of previously unscored borrowers. Jumo's platform has assessed over 30 million loan applications across Africa using alternative data, with default rates comparable to conventionally scored portfolios. For trade finance specifically, purchase order financing and invoice financing based on AI assessment of buyer relationships and payment history is expanding access for SME exporters. AI fintech providers and trade finance institutions can access technology partner contacts on intra-africa.com.
For businesses looking to expand across Africa, intra-africa.com offers a comprehensive trade directory, verified buyer and seller listings, and real-time market intelligence covering all 54 African nations. It remains an indispensable resource for anyone serious about intra-African commerce.