Case Study Fanaka


Fanaka Technologies Limited, based in Zambia, is on a mission to empower Micro, Small, and Medium Enterprises (MSMEs) in Africa by providing an integrated platform that offers ethical loans, financial literacy training, and innovative insurance solutions. Their unique approach focuses on fostering financial inclusion and resilience among underserved entrepreneurs, particularly women and youths


Before implementing GiniMachine, Fanaka encountered several challenges:

  1. Underutilized Borrower Data: Fanaka faced a situation where borrower data was not effectively used for marketing strategies and business development. This limited their ability to customize their offerings to cater to their customer base effectively.
  2. Manual Credit Scoring: The credit scoring process was entirely manual, relying on Google Sheets. This manual approach not only consumed substantial time but also resulted in missed opportunities and an inability to predict when a good customer might default. This process hindered the accuracy of credit portfolio reporting.


To address these challenges, Fanaka Technologies Limited turned to GiniMachine to revolutionize its operations:

  • Data-driven decision-making: GiniMachine was implemented to enable data-driven decision-making by automating and optimizing the credit scoring process.
  • Advanced predictive models: Fanaka utilized GiniMachine’s advanced predictive models to harness the power of borrower data effectively. These models provided deeper insights into borrower behavior, creditworthiness, and repayment potential.
  • Customization and scalability: GiniMachine allowed Fanaka to customize credit scoring criteria and efficiently scale its operations to cater to a growing customer base.


As a result of implementing GiniMachine, Fanaka Technologies Limited experienced a profound transformation across various aspects of their operations. Their journey with GiniMachine brought about the following remarkable outcomes:

Fanaka achieved an elevated level of accuracy in credit portfolio reporting, which empowered them to make well-informed decisions and effectively manage risks.

GiniMachine’s AI-powered analytics provided Fanaka with invaluable insights into customer behavior, equipping them to predict customer lifetime value and anticipate churn rates.

Through the automation of credit scoring processes, Fanaka witnessed a significant improvement in overall operational efficiency. This transformation resulted in streamlined processes, reduced time-to-decision, and a substantial reduction in the risk of missed opportunities.

Fanaka Case Study

Fanaka’s enhanced capabilities in collaboration with GiniMachine played a pivotal role in fostering financial inclusion. This enabled them to extend their support to a more extensive range of Micro, Small, and Medium Enterprises (MSMEs), with a particular focus on empowering women and youth-led businesses within Zambia.


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