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How can digital tools enable smallholder finance?Moderator: RAF Learning Lab
Panelists:Kenya Commercial BankOpportunity InternationalMercy Corps Agrifin Accelerate
March 6, 2017
Why are we talking about digitalization?
• Until recently FSP’s have generally overlooked Africa’s 48 million smallholder farmers because of the challenges in reaching this customer segment
• But this is changing – new digital technologies and innovative business models are making it possible to provide credit to smallholder farmers in Africa
• Digitalization is happening across the lending value chain and includes the use of digital tools and channels for:o customer relationship managemento customer registrationo loan analysiso disbursement and repayment cash flowso delivery of support services alongside core financial products
• Organizations can start their digital journeys in many different places and their journey's are largely shaped by their business priorities and the broader ecosystems in which they operate in
What do we mean by digitalization across the lending value chain?
• Manage SHF data (e.g. interactions, repayment rates)
• Send SMS/mobile notifications
• Deliver support services
• Analyze SHF data (including external data)
• Communicate loan decision
Client acquisition
Loan origination
Loan analysis approval
Loan servicing monitoring
Loan repayment
Ability of digital to overcome challenges
• Facilitate loan disbursement
• Facilitate loan repayment
Digital tools
• Field staff equipped with tablets for data collection
• Mobile registration and data collection platforms
• GPS tools
• Facilitate marketing and dissemination
• Mobile money and payment platforms
• Mobile wallets to deposit savings and manage account
• Data management platforms
• GPS tools to monitor field officers
• Digital TA and other value added services
• SMS / mobile marketing
• Up/Cross selling platforms
Loan disbursement
Loan workout & recovery
• Facilitate customer registration and loan application
• Facilitate farmer data collection
• Facilitate follow up of outstanding loans
RAF challenge
• High cost to reach SHFs in rural areas
• SHFs lack product awareness/ literacy
• Difficult and costly to register and collect data on SHF in rural areas
• Limited understanding of SHF for assessment
• SHF lack credit history / collateral
• High costs to distribute loan funds in rural areas
• Cash risks (risks of holding and transporting cash)
• Difficult and costly to monitor SHF data
• High cost to collect loan payments in rural areas
• Cash risks (risks of holding and transporting cash)
• High costs following up on outstanding loans in rural areas
• Mobile money and payment platforms
• Mobile wallets to deposit savings and manage account
• Credit scoring platforms
• SMS/ mobile approval communication
Digital customer relationship management, incl. digital marketing and notificationsDigital data collection and management
Digital decision making
Digital cashflows
Digital delivery of support services
Digital uses
• SMS / mobile notifications
We surveyed 23 FSPs across Africa who have started a digital journey; they map to 4 “digitalization profiles”
Less than 1,000farmers served
1,000 – 10,000Farmers served
10,000 – 25,000farmers served
25,000 – 100,000farmers served
Over 100,000farmers served
Legend
Credit only
Prod
uct o
fferin
g
Digital integration along lending value chain
Low High
End-to-End financial solution1
Traditional MFIs. Traditional MFIs leveraging digital for loan analysis
Agribusinesses. Agribusinesses leveraging digital payments and digitalizing data collection and loan analysis to evaluate farmer risk
High Tech Banks / Niche NBFIs. High tech commercial banks and niche NBFIs offering fully digital financial services.
Commercial Banks / Innovative MFIs. Innovative MFIs and commercial banks equipping field agents with mobile devices and partnering with B2B digital services providers to offer paperless and cashless end to end solutions
Loan analysis the start of the digital journey and support services the final frontier?
1. Customer Relationship Management includes Sales & MarketingSource: RAFLL Business Case Survey & Dalberg analysis
High
Tech
Ban
ks
/ Nic
he N
BFIs
Com
mer
cial
Ban
ks /
Inno
vativ
e M
FIs
Tra
ditio
nal
MFI
sAg
ri-bu
sines
ses
Customer Relationship
Management1
Customer Registration Loan Analysis Cash Flows
Delivery of Support Services
Organization 1Organization 2Organization 3Organization 4Organization 5Organization 6Organization 7Organization 8 N/A
Organization 9Organization 10Organization 11Organization 12Organization 13 N/A
Organization 14Organization 15Organization 16Organization 17Organization 18Organization 19Organization 20Organization 21Organization 22Organization 23
Fully digitalizedLess digitalized
Not digitalized
N/A No support services offered
Revenues more likely to cover costs, when the provider is digitalized?
1. Program associated costs refers to cost of funds, direct field operation costs, direct costs of nonfinancial support services, direct marketing and sales costs, and all other overhead and allocated program supportSource: RAFLL Business Case Survey & Dalberg analysis
Number of survey respondents by costs covered by loan repayment and fee revenue and by profile type
9%
67%
91%
33%
75%
25%
3 11
High Tech Banks / Niche
NBFIs
Commercial Banks /
Innovative MFIs
Traditional MFIs
34
Agri-businesses
Loan repayment and fee revenue covers or outweighs all program associated costs, or is expected to in the next 2 years1
Loan repayment and fee revenue does not cover all program associated costs, and is not expected to in the next 2 years
Degree of Digital Integration
+ -
High Tech Banks / Niche
NBFIs respondents excludes two organizations who have yet not rolled out
lending products
Organizations believe it will take on average 5-10 years for their SHF lending unit
to become profitable
FSPs who have measured the impact of integrating digital tools see more value from increasing the addressable market than from reducing the cost to serve
Number of survey respondents by impact of integrating digital tools and by profile
1 1
1
3
1
1
11
Increase portfolio quality
Increase in loan officer caseload
2
Decrease loan disbursal cost
2
Increase in customer portfolio
4
Decrease customer
acquisition cost
AgribusinessesCommercial Banks /Innovative MFIs
Traditional MFIsHigh Tech Banks / Niche NBFIs
Increased revenue Decreased cost Reduced risk
• 6/7 saw an increase in revenue
• Customer portfolio grew between 25-50%
• Loan officer case load increased between 30-60%
• 3/7 saw a decrease in the cost to serve
• Customer acquisition cost dropped by 25-40%
• Cost of disbursing loans dropped by up to 80%
Source: RAFLL Business Case Survey & Dalberg analysis
Obstacles to incorporating digital relate to high upfront costs and lack of internal capabilities
Number of survey respondents (out of 23) by perceived obstacles to digital implementation and by profile
2 13 2
21
1
21
11
6
7
8 7 6 4
2
13
11
1
8
Lack of customer
mobile phone access
High initial investment
17
Lack of internal
capabilities
11
Too drastic of a process change
11
Lack of knowledge
on best tools
98
Lack of proof of
value
Transaction fees too
high
9
High Tech Banks / Niche NBFIsCommercial Banks / Innovative MFIs
AgribusinessesTraditional MFIs
Cost-related Internal Capabilities Customer Ecosystem
Source: RAFLL Business Case Survey & Dalberg analysis
Examples of digital innovation in the SHF lending value chain by MCF partners
Customer Relationship Management
Customer Registration Loan Analysis Cash Flows
Delivery of Support Services
KCB MobiGrow Program
• Use of radio radio (local stations) to create awareness and market the benefits of m-Kulima accounts and loans to farmers.
• Proactive personal credit limit prompts to farmers
• Allow mass on boarding of farmer groups to the system and opening of many accounts at a go.
• Allow opt in for individual farmers to register themselves and open accounts.
• Alternative data like deliveries histories from off-takers, buyers and cooperatives used to score farmers
• Deposits and transactions used to score automatically.
• Disbursements of loans done digitally on mobile phone upon meeting requirements.
• Crop and animal husbandry SMS’ interactive learning and tips on price & markets.
• Use of banks call center dedicated pilot line and IVR
Mercy Corps AFA Program
• WFP: Desktop admin portal to manage farmer groups and input provision
• SAF: Android solution for farmer verification
• SAF: Android & USSD self registration and Agent assisted registration modules.
• WFP: Android farmer organization registration module
• SAF: value chain, farm size, alternative telco data, input purchase data. Learning data
• WFP: Input purchases, output sales.
• SAF: self captured daily farming records. INPUT purchases, MPESA transactions and call data analysis.
• WFP: INPUT purchases, output sales.
• SAF: sms learning module.
Opportunity International
• CKW Farmer Profiling• Bulk SMS• Loan Officer
Dashboards• Tablet-based
Customer Satisfaction Surveys
• IVR Services
• Tablet based account opening and loan origination
• Agency Banking• Smart Phone App Self-
Registration
• Predicative, statistical Application Credit Rating
• Machine Learning/Artificial Intelligence Based Credit Scoring
• POS enabled Agrodealers
• POS enabled off-takers
• Digitally-enabled lead farmers and extension services
• IVR Services
Panelist Presentations
MobiGrow program• MobiGrow is a partnership program between the MasterCard Foundation and KCB Bank Group
targeting agricultural value chain actors to offer mobile based financial inclusion and information to smallholders farmers and pastoralists in Kenya and Rwanda.
• M-Kulima is the online system / platform by KCB, that shall support the MobiGrow’s financial services offering by offering Accounts, Loans, Insurance and Knowledge / Notifications to smallholder farmers.
Financial Services Non-Financial Services
Producer Organizations /
Off-takers / Buyers /Processors
Farmers
KCBMobiGrow
Scoring System
Agro - Dealers
DATA
mobi - CASH
PRODUCEFARM INPUTS
mob
i - C
ASH
Approach Method Target
Partnership Approach:
Development Agencies
De-risked FPOs,
FPO Extension team TtT facilitation
Mature Coopera
tives,
Internal Team
Approach
In-person Field Agents e.g. Farmer Trainers.
Nascent FPOs,
- SMS Content
- Radio
Alternative data to score Current data and method used:Credit Scoring Algorithm:
The program uses data from different sources to determine credit limits for smallholder farmers, this process is automated, and it follows the process below;
• Checks national identification from the Integrated Population Registration System (IPRS) database.
• Checks credit status from the national Credit Reference Bureau (CRB) database.
• Check Off-takers / aggregators data on the past produce deliveries.
• Check transactions from the mobile accounts to other mobile wallets e.g. M-Pesa, to KCB bank branches and agents.
• Issue automatic credit limits to smallholder farmers based on this.
Insert photo or graphic as relevant
source: internet
Alternative data to score.. In the shorter term, addition:Agronomic and Economic Data:
• Provide smallholder farmers with a digital accounting tool on their mobile phones, that allows them to be able to; record their land size, seasonal yield, expenses per value chain and aggregated, revenues per value chain and aggregated
• Issue smallholders with daily, weekly and monthly financial statements from their data on their mobile phones.
• Use the smallholders financial statements to issue them credit limits showing up to how much they can borrow.
In the longer term, addition:Satellite Data:
• Verify crop availability and status using satellite photos from shared GPS coordinates
• Verify soil status using satellite photos from shared GPS coordinates.
Insert photo or graphic as relevant
source: internet
Mercy Corps AFA • The AgriFin Accelerate program is a six-
year, USD 25 million program of Mercy Corps, supported by The MasterCard Foundation.
• AgriFin Accelerate will support the expansion of digital financial services to one million farmers in Sub-Saharan Africa over six years, delivered by growing ecosystems of diverse service providers.
Safaricom Dairy ProductIntegrated Mobile Platform: One-stop access to a variety of services that decrease the cost and increase the efficiency of input provision while enabling farmers to easily transact, learn and grow.
• BUY INPUTS, LEARN, MY FARM RECORDS, SAFARICOM SERVICES, REGISTER, CHANGE LANGUAGE
Safaricom Dairy product menu
Safaricom Dairy ProductIntegrated mobile platform: Phase 2 developments• LAYAWAY PURCHASING
• CREDIT OFFERINGSo INPUT CREDIT
o ASSET FINANCING
o INSURANCE
Current Safaricom Dairy Product partners
Building a Smallholder Farmer Digital FootprintDakar, Senegal | March, 2017
• Provided 388,000 production loans, valued at more than $73 million and 880,000 savings accounts to farmers, with more than 400,000 mobile banking clients across 42 Value Chains
• Rolled out full mobile banking in Malawi, Rwanda, Uganda and Ghana, and mobile money services in Tanzania and Kenya
• Established partnerships with MNO’s including MTN, Telenor, Vodafone, and Bharti Airtel Limited
• Opportunity Malawi is our first majority digital bank: 78% of transactions are client-initiated, and transacted digitally
• Piloted branchless banking in Tanzania and expanding to four more countries• CKWs/Digitally Enabled ESPs to Profile & Train over 10,000 SHFs• Run customized tablet-based and agency-based loan and account origination applications• Launching a $25 Android Smart Phone to extend MM services to the bottom of the pyramid
Current Digital Innovations in Agricultural Finance
Building a Smallholder Farmer Digital Footprint
Technological Innovation has enabled FSPs to:• Leverage Artificial Intelligence• Create Automatic Credit Scoring• Reach further and faster for less
than ever before
Smallholder Farmers Want:• Availability of Financial Services
which are tailored for Agricultural• Timeliness of Delivery• Affordability
Rural Systems Lack:• A Coordinated Ecosystem• Trust in FSPs• A Digital Footprint • Customized Financial Solutions
Building a Smallholder Farmer Digital Footprint
Building a Smallholder Farmer Digital Footprint
Binding the Value Chain Together in a Digital Ecosystem
Building a Smallholder Farmer Digital Footprint
Discussion and Q&A