Retain AUM and transaction fee revenue while cultivating more creditworthy customers for your retail bank or asset management firm.
Your one-stop-shop to localize your retail app and better monetize it
Lifestyle Services and money management support, all via one API.
Lifestyle Services
Financial Management
Build better products and unlock endless personalization capabilities by understanding how your customers are actually spending.
Delight your customers with automatic transaction categorization that does not rely on their manually categorizing each transaction in your app.
Alvin uses applied machine learning to categorize mobile money and card transactions based on individual user spending trends and aggregated data analysis.
Turn raw data into useful insights, including distinguishing between true Friends & Family transfers versus motorcycle taxi payments and more.
Unlock precision targeting capabilities for loans and other products based on the financial profile, savings goals and spending trends of each customer.
Leverage Alvin's ready-to-deploy UI widgets as an end-to-end solution, or build your own bespoke solution on top of our APIs.
Alvin is Africa's specialist vendor providing enterprise solutions that are specifically designed to help African banks generate more retail revenue. Save significant time-to-market by customizing our solutions to fit your bank's strategic goals.
Our products are built on our own data enrichment engine trained on local data.
We rigorously test our infrastructure to maintain a system that is secure end-to-end.
Build your own UI on top of Alvin functionalities or use ours to deploy faster.
Designed to cut auditing burden for your Finance team and Tech development time
All products work seamlessly on popular core banking stacks used in Africa.
Introduce already refined features that attract new customers to your bank's app.
We work closely with client teams to ensure Alvin products are specifically tailored to your market, use case and goals.
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Helping African banks and fintechs use data to maximize retail revenues.
