The AI app transforming how Kenya’s small businesses grow

Key Concepts

• Democratizing Business Intelligence: Fastagger’s Auni provides accessible, data-driven insights to African entrepreneurs, traditionally lacking resources for sophisticated analytics.
• Mobile Money Data as a Key Resource: Leveraging mobile money transaction data (primarily M-Pesa) is central to Auni’s functionality and provides a unique data source in the African context.
• Edge AI & Model Optimization: Fastagger prioritizes offline processing, model compression, and edge deployment to address resource constraints common in the target market.
• Data-Driven Growth & Expansion: The “Only” system enables a natural product business to make informed decisions regarding product development, marketing, staffing, and regional expansion.
• The Power of Repeat Customer Analysis: Identifying and understanding repeat customers is a core benefit of the “Only” system, driving personalization and loyalty.

The Genesis of Fastagger & Auni: Addressing a Market Need

Fastagger, an edge AI intelligence company, was born from a personal experience – the difficulty in finding beard care products. This highlighted an underserved market and led to the creation of the “My Neighbor” product line, building on a family history in hairstyling. Initially, operations were entirely manual, relying on paper records. Recognizing the need for digital transformation, Fastagger developed “Auni” to reduce the workload and improve efficiency for entrepreneurs in Africa, where mobile phones are the primary computing device, often with limited resources (e.g., 4GB RAM). These entrepreneurs were described as constantly “fighting fires,” and Auni aims to alleviate that burden.

Auni’s Functionality & Technical Architecture

Auni extracts data from mobile money statements (90% of payments in Kenya are via M-Pesa) and presents it in an easily understandable format, including graphs and reports. Users can track expenditure, inventory, and make data-driven decisions about online advertising, identifying customer purchasing patterns to enable targeted promotions. Technically, Auni utilizes Microsoft Azure Kubernetes Service for its cloud infrastructure and incorporates open-source projects championed by Microsoft. It employs a two-pronged approach: a customized Optical Character Recognition (OCR) model for offline data extraction and a transformer model for contextual understanding. A dialog model, powered by Microsoft’s models, allows users to ask questions and receive personalized business assistance. A key focus is on offline processing to reduce latency and costs, alongside model compression and quantization to optimize performance on low-compute devices. Fastagger is actively working to deploy AI models at the edge, directly on these devices.

Demonstrating Value & Go-to-Market Strategy

Auni’s value has been demonstrated through case studies: one client secured additional investment using Auni-generated reports, while another optimized staffing levels based on peak business days. Fastagger’s go-to-market strategy leverages the Azure Marketplace and offers data annotation services (though less critical now due to advancements in AutoML and synthetic data generation). The company operates with a “act local, think global” strategy, aiming to become Africa’s largest technological export by sharing learnings about computing and machine learning in low-constraint environments, drawing parallels with China’s success. Currently serving around 3000 users, Fastagger is expanding into Uganda, building on its presence in Kenya and Rwanda, with a long-term vision of providing a personalized business assistant across Africa and beyond.

Revolutionizing a Natural Product Business with “Only”

A natural product business, operating a store in Kigali and preparing to launch in Uganda, has experienced a significant transformation through the implementation of a data tracking system called “Only.” The expansion into Uganda was directly informed by payment origins revealing customer interest in the new market. “Only” allows for the identification and tracking of repeat customers, enabling personalized marketing and fostering loyalty through consistent product delivery. The business leverages retail partnerships (pharmacies, barber shops, gift shops) to expand reach.

Data-Driven Operations & Rapid Delivery

A critical aspect of success is rapid delivery, particularly in Kenya, where expectations are high – under two hours in Nairobi, and even 15 minutes for simple purchases. The business adapts by partnering with retailers to facilitate quicker fulfillment. “Only” provides actionable insights for the team, enabling detailed reports with graphs and real-time data supporting data-driven decisions regarding expenditure, inventory management, event planning, and retail activations. The system also justifies hiring decisions (e.g., additional merchandisers) and reduces waste by identifying underperforming products.

Iterative Product Development & Customer Insights

Product development is now data-driven. Initial enthusiasm for products is validated (or refuted) by analyzing sales data within “Only.” Poorly performing products are either limited-edition runs, temporarily paused, or discontinued. The system revealed a larger-than-anticipated base of repeat customers, who are then utilized for product testing, loyalty programs, and honest feedback. Customer profiling (beard type, length) further enhances personalization. The system has brought “clarity,” shifting decision-making from “guesswork” to informed choices, even allowing for pausing product launches based on data analysis, considering external factors like election years.

Conclusion

Fastagger and the “Only” system exemplify the power of democratizing business intelligence in resource-constrained environments. By leveraging mobile money data, prioritizing edge AI, and focusing on actionable insights, these solutions empower African entrepreneurs to make data-driven decisions, optimize operations, and drive sustainable growth. The emphasis on understanding local market dynamics, rapid prototyping, and a commitment to simplification are key factors contributing to their success, positioning them for continued expansion and impact across the continent and beyond.