Levels of coffee traceability
Not all traceability is the same. It helps to think in levels, from coarse to fine:
| Level | What you can show | Typical evidence |
|---|---|---|
| Country | The coffee is Kenyan | Export documents |
| Region or county | It comes from, say, Nyeri or Kirinyaga | Factory location, marketing documents |
| Cooperative or factory | It was processed at a named wet mill | Factory records and lot numbers |
| Farmer | Named members delivered the cherry | Delivery records against a member register |
| Plot | The exact land where it was grown | GPS points or boundary polygons for each plot |
Specialty buyers have long valued factory-level traceability for quality. Regulation has now pushed the requirement down to the plot: under the EU Deforestation Regulation, operators must give the geolocation of every plot where the coffee was produced. Read our EUDR guide for Kenyan coffee for details.
How coffee traceability works, step by step
- Identify producers. Each farmer is registered once, with a unique ID, contact details, their cooperative and factory, and their consent for the data to be used and shared.
- Locate the land. Each plot is mapped and linked to its farmer. Small plots can be a single GPS point; larger ones need a boundary.
- Verify the data. Maps are checked for errors such as boundaries that cross themselves, overlapping plots and duplicates, and reviewed against satellite imagery.
- Link deliveries to producers. Cherry deliveries at the factory are recorded against registered farmers.
- Build lots. Processed coffee is grouped into lots that carry the list of contributing farmers and plots.
- Share with buyers. The exporter passes the relevant plot data to the buyer in an agreed format, such as GeoJSON for EU due diligence.
Paper, spreadsheets or a platform?
| Approach | Works for | Breaks down when |
|---|---|---|
| Paper registers | Small groups, local use | Data must be shared, searched or checked |
| Spreadsheets | Member lists and simple records | Many agents edit at once, or boundaries and maps are needed |
| A traceability platform | Hundreds or thousands of farmers and plots | Rarely, if the data is collected well in the field |
The key difference is geography. A spreadsheet can hold a coordinate, but it cannot show a boundary on satellite imagery, tell you that two plots overlap, or produce a valid GeoJSON file.
Why coffee traceability matters for Kenya
Most Kenyan coffee comes from smallholders: cooperatives account for about 70 per cent of production and group more than 800,000 growers, according to KIPPRA. Traceability lets those cooperatives:
- keep selling to buyers in markets with deforestation and due diligence rules
- prove the origin and quality story behind their lots
- keep an accurate, up-to-date member register
- answer buyer questions quickly, with evidence
Where KahawaTrace fits
KahawaTrace covers the farmer and plot levels: registering farmers with consent, mapping plots by GPS, checking and approving the maps, and exporting plot data as GeoJSON or CSV. See our coffee traceability solution.