access.mobile, inc. - amazon s3 · cupping lab lot, volume, score assigns quality score to lot dry...
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access.mobile, Inc. O c t o b e r 2 0 1 3
Confiden'al – access.mobile 2013
Headquarters in Denver (USA) with operations in East Africa
Regional Hub: Uganda Local Presence: Rwanda Tanzania
Global Headquarters: Denver, Colorado USA
Confiden'al – access.mobile 2013
Kaakpema Yelpaala, MPH | Founder & Chief Executive Officer • Entrepreneur with over 10 years of experience in economic development and health • Has lived and worked in over 10 African and Caribbean countries, founded an international health
nonprofit and was part of the start-up team for President Clinton’s foundation in Africa • Served on the Governor of Colorado’s technology policy team as well as the Governor’s IT
transition committee • Management consultant for impact investment funds, multilateral development institutions and
large philanthropic organizations • MPH Yale, BA Brown
Jenais Zarlin | Vice-President, Business Development – Coffee • Nearly a decade of experience in food and coffee industry • Business Development and Project Manager for Thanksgiving Coffee Company
• Worked on the Mirembe Project, with the certified organic and Fair Trade Mirembe Kawomera coffee cooperative in Uganda
• Business development for large and small scale food manufacturers with emphasis on increasing distribution opportunities
• BA Stanford
Kahwa Douoguih, PhD | Chief Operating Officer • Over 12 years work and research experience in Africa • Managing Partner at Constelor Investment Holdings engaged in high-level multi-sector advisory,
investment and business incubation in Africa • International Monetary Fund (DC), African Department; World Bank (Brazil) • PhD (Economics) University of Maryland, MS Colorado School of Mines, BA Stanford
access.mobile, Inc.’s global executive team
Silvanus Matiku | Interim Chief Technology Officer • Extensive experience designing and developing information management systems • Has built systems across industries including: health, financial services and e-commerce, law, and
government • Technical expertise: operating systems, database management, programming, software
versioning and testing • MS (Information Technology) Central Queensland University, BS Griffith University
Confiden'al – access.mobile 2013
SMEs* in Africa do not have enterprise technology tools to manage and grow their operations
• Data are difficult to obtain in time to make key decisions
• Lack of data limits the ability to manage business effectively and inhibits profitability
• Constrains potential to scale
and impedes economic growth
* Small to Medium Sized Enterprises
Confiden'al – access.mobile 2013
access.mobile offers context-appropriate, nimble and affordable enterprise solutions for SMEs’ unmet tech needs
Products are built locally by top software developer talent in E. Africa
Context Appropriate
Products are designed to scale in the African environment, taking advantage of SMS infrastructure, online/offline capabilities and
wireless infrastructure
Nimble
Affordable
access.mobile’s lean cost structure and Africa based operations enable the company to price for market penetration
Confiden'al – access.mobile 2013
Tech products are built locally by top software developer talent
Joseph Product Innovation Uganda
John User Experience Uganda
Jane Regional Accounts Uganda
The access.mobile team:
Andrew Software Developer Uganda
Magori Senior Web App Developer Tanzania
Pastory Software Developer Tanzania
Confiden'al – access.mobile 2013
Team Software Retreat – Kigali, Rwanda Oct 19th – 20th
Confiden'al – access.mobile 2013
access.mobile and Microsoft partnership
Devices
Microsoft smart phones and tablets for our enterprise clients at preferential pricing
Front End Data Collection Tools
Access to developer resources that enable phone based data collection linked to Microsoft suite
Servers/Cloud Infrastructure
Technical support on best practices to use Microsoft SQL Server and Azure cloud services
Confiden'al – access.mobile 2013
USE CASE: Specialty coffee - KZ Noir
KZ N
oir PORTFOLIO 1
PORTFOLIO 2
PORTFOLIO 3
WS 1
WS 2
WS 8
WS 7
WS 3 WS 4
WS 5 WS 6
Confiden'al – access.mobile 2013
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Kivu Lake
Idjwi Island
Rweru Lake
Ihema Lake
Burera Lake
Hago Lake
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Cyambwe Lake
Sake Lake
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Mihindi Lake
Kivumba Lake
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EASTERN PROVINCE
WESTERN PROVINCE
SOUTHERN PROVINCE
NORTHERN PROVINCE
TOWN OF KIGALI
P a r c n a t i o n a l d e N y u n g w eP a r c n a t i o n a l d e N y u n g w e
P a r c n a t i o n a l d e l ' A k a g e r aP a r c n a t i o n a l d e l ' A k a g e r a
R e s e r v e n a t u r e l l e d e G i s h w a t iR e s e r v e n a t u r e l l e d e G i s h w a t i
P a r c n a t i o n a l d e s V o l c a n sP a r c n a t i o n a l d e s V o l c a n s
CAFERWA Nkora
KARENGERA CWS
CAFERWA Buliza
CAFERWA Cyebumba
SOCOR Coffee Kinunu
CAFERWA Gishugi
SOCOR Coffee Boneza
KARENGERA Cyiya CWS
31°0'0"E
31°0'0"E
30°45'0"E
30°45'0"E
30°30'0"E
30°30'0"E
30°15'0"E
30°15'0"E
30°0'0"E
30°0'0"E
29°45'0"E
29°45'0"E
29°30'0"E
29°30'0"E
29°15'0"E
29°15'0"E
29°0'0"E
29°0'0"E
28°45'0"E
28°45'0"E
1°15'0"S 1°15'0"S
1°30'0"S 1°30'0"S
1°45'0"S 1°45'0"S
2°0'0"S 2°0'0"S
2°15'0"S 2°15'0"S
2°30'0"S 2°30'0"S
2°45'0"S 2°45'0"S
350000,000000
350000,000000
400000,000000
400000,000000
450000,000000
450000,000000
500000,000000
500000,000000
550000,000000
550000,000000
600000,000000
600000,000000
9700
000,0
0000
0
9700
000,0
0000
0
9750
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0000
0
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0000
0
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0
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0000
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Projection:
Main grid: Rwanda Local Projection 92 Gauss Krüger (Transverse Mercator)Origin of Co-ordinates: Central merdian 30°E X=500 000; Y=10 000 000Ellipsoid: Clarke 1880 modified - Scare Factor: ko=0.9999Grid interval: 50 Kilometers
Secondary grid: Geographic LatLong - Spheroid: WGS 84Grid interval: 15'
Source:Number Coffee trees: OCIR CAFE, Planning Department, GIS Project. Coffee census 2009Coffee Washing Station: OCIR CAFE, Planning Department, GIS Project, CWS Survey 2011Administrative Boundaries/Roads/Hydrology: INSR 2005, CGIS
10 0 10 20 305Kilometers
1:350 000
Legend
Main River
River
Stream
Lakes
RoadsPaved National road
Unpaved National road
Country Boundary
District Boundary
Sector Boundary
National Park /Natural Reserve
Administrative Boundaries
Hydrology
Protected Zones
Idjwi Island
KZNoir Ltd.8 COFFEE WASHING STATION LOCATION MAP
hg CWS
ProvinceEASTERN PROVINCE
NORTHERN PROVINCE
SOUTHERN PROVINCE
TOWN OF KIGALI
WESTERN PROVINCE
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�%,,-��
Pilot projects at 2 of KZ Noir’s 8 washing stations
KINUNU
BULIZA
KZ NOIR
Confiden'al – access.mobile 2013
Specialty Coffee ‘Last Mile’ Challenges
• Tracking is largely paper-based or held in data enclaves • Time-consuming information processing limits ability to
get clear picture of operations
• Bottleneck around data transfer to other value chain
participants
• Stakeholders are accustomed to the inefficiency of the
paper and cash-based system
Confiden'al – access.mobile 2013
Supported better data management and data-driven decision making
Increased real-time operational insight
Improved transparency and traceability
A mobile-to-web enterprise solution for the specialty coffee value chain.
Confiden'al – access.mobile 2013
Mobile application features
• App was implemented on a feature phone (Tecno 611)
• App was deployed in
Kinyarwanda
• App enabled farmer registration, buyer transactions at sites and volume verification at washing station
Confiden'al – access.mobile 2013
Pilot profiles for Kinunu and Buliza CWSs
12 app Users
8 Weeks
• Training conducted in May 2013
• Solar chargers distributed
• Weekly interactions with buyers were conducted regarding feedback
Kinunu
10 app Users
6 Weeks
• Training conducted in July 2013
• Solar chargers distributed
• Weekly interactions with buyers regarding feedback
• Pilot end survey conducted for buyers
Buliza
Confiden'al – access.mobile 2013
Users received onsite training
Confiden'al – access.mobile 2013
Data management focus area: amCoffee version 1
Washing Sta'on
Coffee Farms
Purchase Sites
Transporter Washing Sta'on Transac'ons
$ $ $ $
$
Confiden'al – access.mobile 2013
Mobile App: Transaction Record, Buy
Confiden'al – access.mobile 2013
Web dashboard screenshot: Production
Confiden'al – access.mobile 2013
User Type of Data Tracked Value Proposition
Farmer Registration Farmer name, farm location, tree age, trees #, cultivars etc.
Enables traceability analysis and farmer communication
Washing Station Cashier
Buyer/Seller, Lot Assignment, Volume
Allows operational insight in real-time
Dry Storage Lot, Volume, Cherry-to Parchment ratio
Contributes to lot aggregation by quality for dry mill
Cupping Lab Lot, Volume, Score Assigns quality score to lot
Dry Mill Manager Lot, Volume, Grade, Screen Size
Assigns additional quality differentiation characteristics
amCoffee 2.0 extends data management functionality beyond the washing station to include the value chain until export
Replacing paper-based and ad hoc data collection with real time information capture and sharing capabilities builds a foundation critical
to increasing quality, traceability, and transparency
Confiden'al – access.mobile 2013
Join Us
If you are interested in integraIng these types of technology tools into your operaIons or want to support your partners at origin in adopIng technology into their operaIons, please reach out to us. CONTACT: Jenais Zarlin www.accessmobileinc.com Email: [email protected] Cell: +01-‐720-‐212-‐8171 Skype: jzarlin FIND US ON SOCIAL MEDIA: Twi\er: @accessmobileinc Facebook: access.mobile