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AgriTech × AI × Marketplace

Farmora

A smart farming platform for Nigeria. Farmers, businesses, households, logistics partners and agricultural experts trade in one place, with AI crop help, escrow payment and delivery you can follow.

Vision

Move food from farm to table without a middleman eating the farmer's money.

AgriTechMarketplaceAIProduct Strategy
RoleProduct Manager · UI/UX Designer · Product Builder
CategoryAgriTech × AI × Marketplace
Built withLovable · Generative AI · Web / PWA

My contribution

Slide Deck DesignProduct DiscoveryUser ResearchProblem DefinitionProduct StrategyMVP PlanningFeature PrioritizationUser FlowsProduct RequirementsUX/UIAI-Assisted DevelopmentProduct Build

Deliverables

Product StrategyMVP Feature SetUser FlowsUI/UX DesignLive ProductInteractive Slide DeckVideo Demo

Watch the demo

Farmora video demo

Product demo

01

Overview

Farmora is a smart farming platform for Nigeria. One app holds five kinds of users: farmers, businesses, households, logistics partners and agricultural experts.

It is live on the web, works on a basic Android phone and a small data plan, and every account is checked before it can trade.

02

Problem

Farmers sell cheap and buyers pay high, because middlemen sit between them. Discovery still runs on personal contacts.

Trust is the other half of the problem. Nobody wants to send money first, and nobody wants to send goods first.

On top of that, farm advice usually arrives late, in English, in long text, on apps that assume a good phone and fast internet.

03

Users and Needs

Farmers: reach real buyers, get fair prices, get paid every harvest, and get plain answers when a crop is sick.

Businesses: verified suppliers, steady quality, direct farm pricing.

Households: fresh food from trusted farmers, clear prices, delivery they can track.

Logistics partners: steady delivery routes and reliable pickups.

Agricultural experts: reach the farmers who need them most.

04

Thought Process

I started with the money, not the features. If the farmer does not get paid safely, nothing else matters. So escrow came first: the buyer pays in, the money is held, the farmer is paid once the goods are confirmed delivered.

Second, I removed reading and typing as a barrier. Advice is spoken in English, Pidgin, Yorùbá, Hausa and Igbo, and a photo replaces a form — snap a sick plant, snap a harvest.

Third, I designed for a small phone and a small data plan. Light screens, shallow navigation, last answers still open when the network drops.

Only then did I add the marketplace, the map and the expert calls. Trust, language and device came before catalogue size.

05

Solution

AI Crop Doctor: photograph a sick plant, get the likely problem and how to treat it.

AI Produce Scanner: point the camera at a harvest and the listing is written for you.

Nigerian voice: talk and listen in English, Pidgin, Yorùbá, Hausa or Igbo.

Weather advice in simple words on what to do today.

Farms and buyers map, open marketplace, escrow payment and delivery tracking.

Talk to a verified agronomist when the AI is not enough.

06

Core Flow

Sign up and verify identity. Pick a role: farmer, business, household, logistics or expert.

Farmer lists produce with quantity and price. Buyer or household orders. Buyer pays into escrow.

A local logistics partner picks up from the farm and delivers. The buyer confirms receipt and the farmer is paid.

07

MVP

Verified accounts and roles. Listings and search. Orders and escrow payment. Logistics matching and delivery status.

AI crop check and produce scanning. Multi-language voice. Weather advice. Expert chat.

08

UX/UI

Plain English, short lines, high contrast and one clear action per screen. Mobile-first, built light so it opens on a slow network.

09

Deliverables

Product strategy and MVP scope, user flows, UI/UX design, the live product, an interactive slide deck and a video demo.

10

Outcome

Farmora shipped as a live product, not a mockup. The pitch is an interactive slide deck people can click through, and the demo video walks the full farm-to-table flow.

11

Lessons Learned

Marketplaces live on trust signals, not catalogue size. Escrow did more for adoption than any extra screen.

Language is a feature. Voice in Pidgin and local languages removed more friction than a prettier interface would have.

Designing for a small phone and small data forced clearer decisions everywhere else.