This document discusses a project to provide micro loans to millions of unbanked mobile customers based on their mobile billing history. A self-learning credit scoring model will be built to determine creditworthiness from customers' mobile transaction and payment data in order to offer loans of up to $250 via their phones. The project aims to introduce financial services to underserved customers and is forecast to be the fastest growing service line in 2017. It has a 3-month timeline per country and $100,000 total budget plus localization costs.

1. First time loans to millions
of unbanked mobile
customers
Company Logo
here

2. Project Micro Loans
• Build a Self Learning Credit Scoring Model
• Determine credit worthiness of our mobile
customers in order to enable us to provide them
with credit and loans
• Our mobile customers can apply for micro loans via
their mobile phones. We determine their credit risk
via their mobile billing history
• First time financial services customers. Unbanked
customers that have no prior relationship with a
bank

3. ProjectImportance
• Our mobile customer database and billing
information containing transaction and payment
history
• We consider micro loans to have the highest
probability of introducing financial services to our
customers. We are forecasting it as our fastest
growing service line in 2017
• We are providing greater financial inclusion to our
customers currently underserved by banking
institutions, irrespective of geography or social
economic circumstances

4. ProjectDetails
• 3 months project timeline per country
• Determining up to 70% of our customer base as
eligible for a loan of up to $250
• $100,000 total budget plus localisation costs for
each country implementation
• Our ideal partner is someone that exceeds at big
data analytics