Good for Trade (G4T™) Digital Traceability Standard (DTS)

Version 1.0 (Proposed Framework)

Developed by Kenya Coffee School

Working Theme: “Transparent Coffee. Trusted Trade. Sustainable Futures.”

1. Introduction

The Good for Trade (G4T™) Digital Traceability Standard (DTS) is a proposed framework designed to help coffee cooperatives, estates, processors, exporters, roasters, and retailers establish transparent, digitally enabled, and climate-conscious coffee value chains.

The standard seeks to strengthen specialty coffee through reliable data, responsible governance, environmental stewardship, quality assurance, and digital traceability from farm to cup.

Rather than replacing existing certification systems, G4T DTS is intended to complement them by emphasizing practical digital management, continuous improvement, and accessible technology for African coffee producers.

2. Vision

To establish Africa as the global leader in transparent, digitally traceable, and sustainably traded specialty coffee.

3. Mission

To empower coffee farmers and cooperatives through digital systems that improve quality, climate resilience, market confidence, and long-term economic sustainability.

4. Core Principles

The proposed standard is based on ten guiding principles:

• Transparency
• Traceability
• Sustainability
• Fair Participation
• Accountability
• Climate Responsibility
• Product Quality
• Data Integrity
• Innovation
• Continuous Improvement

5. Scope

The framework can be applied across the coffee value chain:

• Coffee nurseries
• Farmers
• Farmer groups
• Cooperatives
• Washing stations
• Dry mills
• Warehouses
• Exporters
• Roasteries
• Coffee shops
• Retailers
• Importers

6. Digital Traceability Requirements

Every coffee lot should be assigned a unique digital identity supported by standardized records.

Each record may include:

Farm Information

• Farmer identification
• Cooperative membership
• GPS coordinates
• Farm size
• Coffee varieties
• Altitude
• Shade tree inventory
• Water sources

Production Records

• Planting dates
• Input applications
• Pest management
• Harvest dates
• Cherry volumes
• Labour records

Processing Records

• Washing station
• Fermentation process
• Drying duration
• Moisture measurements
• Storage conditions
• Milling information

Quality Records

• Physical grading
• Moisture content
• Defect counts
• Cupping scores
• Roast profile references
• Sensory notes

Trading Records

• Buyer
• Export destination
• Shipping information
• Warehouse records
• Lot ownership history

7. Digital Identification System

Every participant should receive a unique digital identifier.

Examples include:

• Farmer ID
• Farm ID
• Cooperative ID
• Washing Station ID
• Coffee Lot ID
• Export Batch ID
• Retail Product ID

These identifiers create a continuous chain of custody.

8. QR Code Traceability

Every coffee package may include a QR code linking consumers and buyers to selected information such as:

• Country of origin
• Cooperative
• Farm profile
• Variety
• Harvest season
• Processing method
• Roast date
• Sustainability information
• Brewing recommendations

9. Climate Compliance Module

Suggested indicators include:

• Shade tree coverage
• Soil conservation practices
• Water stewardship
• Biodiversity measures
• Regenerative agriculture practices
• Waste management
• Renewable energy use
• Climate adaptation plans
• Carbon reduction initiatives

10. Governance Requirements

Participating organizations should maintain:

• Documented operating procedures
• Internal audits
• Data verification processes
• Member training
• Complaint mechanisms
• Risk management plans
• Annual management reviews

11. Digital Security

The framework encourages:

• Secure cloud backups
• Role-based user access
• Data encryption
• Regular system backups
• Audit logs
• Secure authentication
• Data privacy compliance

12. Continuous Improvement

Annual review should evaluate:

• Coffee quality
• Farmer participation
• Climate indicators
• Digital adoption
• Market performance
• Customer feedback
• Training outcomes
• Innovation initiatives

13. Recommended Digital Tools and Resources

Successful implementation requires practical, affordable technology.

Farm Digital Tools

• Mobile farm record applications
• GPS field mapping
• Digital farm registration
• Soil testing systems
• Weather monitoring stations
• Pest and disease reporting apps

Cooperative Management Systems

• Farmer registry
• Membership database
• Cherry delivery management
• Inventory management
• Warehouse management
• Payment management
• Accounting systems
• Document management
• Internal audit tools

Quality Management Resources

• Digital moisture meters
• Green coffee grading tools
• Cupping laboratory equipment
• Digital cupping forms
• Roast profile software
• Coffee quality databases

Traceability Technologies

• QR code generation
• Barcode systems
• RFID (where appropriate)
• Blockchain-ready transaction records
• Cloud databases
• Digital chain-of-custody records

Climate Monitoring Resources

• Automatic weather stations
• Satellite imagery
• GIS mapping
• Soil moisture sensors
• Rainfall monitoring
• Water-use tracking
• Biodiversity assessment tools

Business Intelligence

• Interactive dashboards
• Yield analytics
• Production forecasting
• Market price monitoring
• Export reporting
• Customer analytics
• Sustainability reporting

Communication Tools

• Farmer SMS alerts
• Mobile learning platforms
• Video training libraries
• Digital extension services
• Online cooperative meetings
• Knowledge-sharing portals

14. Capacity Building

Implementation should be supported through training in:

• Digital literacy
• Coffee agronomy
• Climate-smart agriculture
• Data collection and management
• Quality assurance
• Cooperative governance
• Internal auditing
• Food safety
• Export requirements
• Digital marketing

15. Expected Outcomes

Implementation of G4T™ DTS aims to deliver:

• Improved traceability
• Better coffee quality
• Stronger climate resilience
• Greater buyer confidence
• Enhanced market access
• More efficient cooperative operations
• Better decision-making through data
• Increased transparency
• Higher value addition
• Improved livelihoods for coffee-producing communities

Kenya Coffee School Vision