African Fintech Solved Payments. It Forgot Business Intelligence.
African fintech has been enormously successful at enabling payments — M-Pesa, Flutterwave, Paystack, Wave. But payment confirmation is not business intelligence. AskBiz is the layer that sits above payments and tells African SMEs which products drive margin, which staff are performing, how revenue compares to last month, and where the business stands against similar operators.
- The payment revolution is real — and incomplete
- The layer that was missing
- AskBiz as the intelligence layer
- Collective benchmarking: the thing market research never delivered
- Credit and formalisation: the downstream benefit
The payment revolution is real — and incomplete#
African fintech has achieved something remarkable. M-Pesa processes over 50 billion USD in transactions annually in Kenya alone. Flutterwave has connected millions of Nigerian businesses to digital payments. Paystack, Wave, MoMo, and dozens of others have made it easier to send and receive money across the continent than in many developed markets. This is genuinely transformative. But payment confirmation is not the same as business intelligence. Knowing that KSh 4,500 came in at 14:37 tells you a transaction happened. It tells you nothing about which product was sold, what the margin was, which staff member processed it, whether this is above or below your typical Tuesday, or how your revenue trend compares to similar businesses in your area.
The layer that was missing#
Intelligence requires structure above the payment event. You need to know what was sold, who sold it, where, at what price, with what cost. You need to track that across time. You need to compare it to your own history and — ideally — to similar businesses. This is what every large retail chain has. It is what most African SMEs have never had. The fintech platforms solved the payment rail. Nobody built the intelligence layer on top of it — not at a price and accessibility level that works for a trader or a small shop owner.
AskBiz as the intelligence layer#
AskBiz sits above the transaction. Every sale recorded through AskBiz POS creates a structured data point: product, quantity, price, cost, cashier, location, payment method, timestamp. That data immediately feeds the intelligence dashboard. Revenue trends, staff performance, product margins, location comparison, anomaly detection — all built from the transaction data that would otherwise just be a confirmation message in an M-Pesa inbox. The owner sees their business clearly, often for the first time.
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Collective benchmarking: the thing market research never delivered#
Formal market research in Africa is expensive, slow, and usually focused on large enterprises or consumer behaviour rather than SME operations. Trade associations exist but rarely share useful operational data. The result is that most African SME owners benchmark against their own memory — this week compared to how I think last week went, this price compared to what I think competitors charge. AskBiz collective intelligence pools anonymised data from similar businesses to create real benchmarks. A phone repair shop in Lagos can see average repair prices, typical parts margins, and labour cost ratios from similar shops — without any individual shop's data being visible. This is the market research that has never been available to informal sector businesses.
Credit and formalisation: the downstream benefit#
One of the biggest challenges for African SMEs seeking credit is the lack of verifiable financial history. Banks and microfinance institutions require evidence of consistent revenue — but for a trader whose income is a mix of cash, M-Pesa, and informal credit, producing that evidence is almost impossible. AskBiz creates a structured, auditable transaction history. Six months of AskBiz data is six months of verified revenue records. This is not just useful for running the business — it is a potential foundation for a credit application. The intelligence layer becomes an asset.
What this means for the next decade#
Sub-Saharan Africa has over 40 million SMEs, most of which operate with essentially no business data infrastructure. As smartphone penetration continues to rise and data costs fall, the opportunity to bring intelligence tools to these businesses is significant. The payment problem is largely solved. The intelligence problem is not. That gap — between knowing money moved and knowing why, how, and whether that is good or bad — is where AskBiz operates.
People also ask
What is the difference between a payment platform and a business intelligence platform?
A payment platform (M-Pesa, Flutterwave, Paystack) confirms that money moved from one party to another. A business intelligence platform (AskBiz) structures transaction data to show what was sold, who sold it, at what margin, how it trends over time, and how it compares to similar businesses. Both are needed; most African SMEs only have the former.
Can AskBiz integrate with M-Pesa?
AskBiz accepts M-Pesa payments for subscriptions via PesaPal. Direct M-Pesa payment recording within the POS (logging M-Pesa as a payment method on each transaction) is supported, allowing businesses to track cash, M-Pesa, and card payments separately.
Does AskBiz help African SMEs get business loans?
AskBiz creates a structured, auditable transaction history that can serve as evidence of consistent revenue — potentially supporting credit applications. This is an indirect benefit of using the platform consistently over time.
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The intelligence layer your payment platform never built
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