Page 94 - ITU-T Focus Group Digital Financial Services – Technology, innovation and competition

ITU-T Focus Group Digital Financial Services
Technology, Innovation and Competition

Annex 2: Platform capabilities captured in reference architecture

This section provides further insight into services that the platform may offer – it has been used to provide
a benchmark/point of reference for provision of a full financial service eco-system; differing capabilities are
required, depending on the maturity of the market.

1 Loan management

This capability could support the following functionalities:

• Type of lending/credit - such as revolving or refill credit, variable limits, variable loan periods, variable
payment types, variable periods for repayments, variable amortisation types;

• Credit amounts - varying credit limit creation either at the customer or product level;
• Physical documents - the capture, storing, and retrieval of physical documents;
• Disbursement to wallet or current account;

• Interest rates - at a product or account level, this can be any combination of fixed and variable rates;
• Loan refinancing or restructuring - including identification of customers requiring this;
• Loan renewal - either automatically or based on customer changes;

• Instalments - various scenarios or extension of a grace period;
• Late payment fees - varying fees and support for applying the local taxes where relevant;
• Calculation of interest or fees - varying interest rates or fees and how they are applied depending on
the local regulation;
• Instalments payments hierarchy - a hierarchy of payments which determines which items are paid off
first such as: (1) Overdue fees (2) Overdue interest (3) Regular interest instalment portion (4) Main capital
instalment portion;
• Loans classification based on payments overdue;
• Advance payments;
• Customer statements - either physical or digital;

• Loan payments;
• Payment reminder and overdue alerts - either automatically or at a predetermined time, with varying
communication channels.

2 Credit scoring

The ability to set a customer credit score via a number of inputs such as: customer identification data; telco
transactional data; inputs for external reference data (e.g. bureaus); social media data; and mobile financial
services data.

3 Decision engine
The purpose of the decision engine is to ensure that any automated controls are captured and evidenced – to
support any approval or rejections of a customer’s requests for any services. This capability could support as
a minimum:
• Data entry - output data for a customer’s approval;

• Digital storage - with the capability to prove that any legal documentation signed or provided by the
customer has not been tampered with – either physically or digitally.

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