Industries · Agriculture

From a farm visit to a settled payment, on one record.

Agricultural businesses run on field staff, farmers, aggregators and buyers, and much of what happens is first said on a call or written in a notebook. We build tools that capture it where it happens and carry it to the office intact.

How the information travels

Notebook, phone call, spreadsheet, payment.

Picture an agri-sourcing company buying a crop through field officers and village collection points. A field officer visits a farmer, notes the variety and the expected harvest, and promises a pickup. At the collection point the produce is weighed, checked for moisture and graded, and a slip is written by hand. Days later the office keys the slip in, works out the amount and releases payment.

Each step has its own record and its own person, and the farmer's name may be spelled three ways across them. When a payment is disputed, someone drives back to the village to find the slip.

The same shape appears in input companies with dealer and farmer networks, farmer producer organisations collecting from members, and contract-farming programmes that follow crop stages through a season.

Software for any of them starts with one record per farmer or grower, and a mobile app built for people entering data outdoors: large touch targets, the regional language, photos in place of typing, and entries that save offline until the phone finds signal. The office then reviews and corrects incomplete records instead of retyping them.

Three places to begin.

Field

Visits and farmer records

A field officer app for registrations, visits, crop details and photos, with the location of each visit and a review queue in the office.

Collection

Weighing, grading and receipts

Quantity, quality readings and grade captured at the collection point, with a printed or WhatsApp receipt for the farmer.

Office

Settlements and buyer orders

Rates, deductions and payments calculated from the accepted record, and buyer dispatches linked back to what was sourced.

Talk these through early

What makes field software work or fail.

01

Language and literacy

Field staff and farmers may read different scripts or prefer to speak. We test inputs with real examples in each language and consider voice capture for notes that are hard to type.

02

Connectivity

Many collection points have weak data or none. The app has to work offline through a full day and sync safely, without creating duplicate entries.

03

Who checks what

Decide which entries a supervisor must approve, and how a mistaken weight or grade is corrected while the original stays visible.

04

Seasonality

Activity peaks at harvest and goes quiet between seasons. Rollout, training and support should be timed around the crop calendar, well clear of the busiest procurement weeks.

Start small, in one region.

01 · REGION

One area, one crop

A focused first rollout shows how the workflow holds up before it spreads to other districts.

02 · RECORD

Fix the farmer record

Agree identifiers, the fields that matter and how existing lists will be cleaned and imported.

03 · PILOT

Run it through a season

Field officers and collection staff use the app while the office keeps a close eye on review and correction.

04 · EXPAND

Add regions and payments

Once the data holds up, connect settlements and buyer orders and bring more teams on board.

Asked by agri teams.

Can field staff enter data in their own language?

Yes. We agree the languages up front and test the screens with real names, villages and crop terms, since a form that reads well in English can be confusing once translated.

Can farmers get receipts and payment updates?

A WhatsApp or SMS message at weighing and again at payment is often the simplest route, because it reaches farmers without asking them to install anything.

What if a field officer records the wrong weight?

The entry is corrected through a supervisor, and the original value, the new one and the reason all stay on the record. That history is what settles a dispute later.

Contact

Tell us who collects the data, and where.

Share the roles, languages and phones involved, and we'll suggest a first region and workflow to try.

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