Built for Nigerians.
An agent network across 8 states.

TradeFlow NG started with a problem we faced directly: food that is abundant in one state sits out of reach in another, and both traders and households pay the price. What began as hands-on research into agricultural price forecasting is now a working forecasting and optimization platform, backed by a field-agent network across 8 states — with deep, on-the-ground validation completed in our first 3 and expanding.

One broken system. Two beneficiaries. One fix.

Nigeria does not have a food production problem. It has a distribution problem. The same commodities that sit as surplus in Nasarawa are inaccessible in Lagos two days later — because no one in the middle had the right information at the right time.

"TradeFlow NG connects Nigeria's agricultural abundance to every table that needs it — by making inter-state trade smarter, faster, and more efficient for the traders who move food across the country."

When a trader routes correctly because of TradeFlow NG, two things happen at once: the trader earns more, and a market that needed supply gets it. One decision. Two beneficiaries. One broken distribution layer fixed.

Mission
"TradeFlow NG connects Nigeria's agricultural abundance to every table that needs it — by making inter-state trade smarter, faster, and more efficient for the traders who move food across the country."
Vision
"A Nigeria where no community goes without the food it needs simply because the system that connects supply to demand is broken."
One-line pitch
"We fix the broken link between where food is grown and where people need it."

The trader and the consumer
are two sides of the same problem

🚛

For Traders

Commodity traders make ₦200k–₦1M decisions every week with no reliable data. A wrong route means wasted fuel, spoiled goods, and a loss instead of a profit. TradeFlow NG tells them exactly where to go — with an expected profit attached — before they leave.

🏘

For Consumers

When traders route incorrectly, demand markets go undersupplied and household food prices spike. Our primary demand survey across 16 states found 70% of respondents face food shortages or very high prices at least monthly — directly caused by this same distribution failure.

These are not separate problems. They are the same broken system seen from opposite ends. TradeFlow NG sits in the middle — the distribution layer — and fixes it for both sides simultaneously. Better margins for traders. Better food access for consumers. One platform.

From a problem we faced directly to a live national platform

2024

The problem, first-hand

After repeatedly seeing food sit as surplus in one state while it was scarce and costly in another, the team set out to close the price-information gap in Nigeria's inter-state agricultural trade — treating it as a real market failure to solve, not a theory to study.

Early 2025

First working prototype

Prophet forecasting model and PuLP optimizer built in Python. Initial Streamlit dashboards deployed on cloud infrastructure. PostgreSQL database schema designed and live on Supabase.

April 2025

Field operations begin

First field agents onboarded across Oyo, Kwara, and Kogi. KoboToolbox submission pipeline live. Weekly price data flowing into the system for the first time.

2025–2026

Scale to 19 agents across 8 states

Agent network expanded across the full north-south corridor, with weekly price submissions flowing in from across our 8 target states. GitHub Actions scheduler automates the full pipeline daily at 06:00 WAT. 32 Prophet models trained weekly across all state-commodity pairs.

2026

Primary research + platform rebuild

Consumer demand survey completed across 16 Nigerian states, confirming the distribution paradox. Platform rebuilt from Streamlit to Next.js + FastAPI production stack. Team of 10 now active.

Next

Phase 2 — Revenue · Phase 3 — Consumer Layer

First paying subscribers, brokerage commissions, and self-trading on system recommendations. Phase 3 adds a public-facing consumer intelligence feed — powered by the same agent data, delivered via web and WhatsApp.

10 people. One broken system. One mission.

A lean, mission-driven team building Nigeria's agricultural trade intelligence layer from the ground up.

QA

Quadri Adebisi

Co-Founder · CEO & CTO

Data scientist and platform architect. Designed and built the entire TradeFlow NG technical platform — Facebook Prophet forecasting pipeline, PuLP linear programming optimizer, PostgreSQL cloud infrastructure, dual-dashboard system, KoboToolbox integration, and automated GitHub Actions scheduler — from the ground up with zero external development budget. Currently leading platform architecture, grant writing, and system improvements.

Prophet Forecasting PuLP Optimization FastAPI Next.js PostgreSQL Data Science & ML

Team Leadership

EE

Elijah Essang

Team Lead

Coordinates operations across all functional areas, ensures weekly priorities are executed, and keeps the team accountable to TradeFlow NG's field and platform targets. The operational anchor that keeps everything moving.

Core Team

EA
Emmanuel Akunne
Growth & Partnerships
JG
Jude Gomina
Content & Design
TA
Timothy Aborode
Content & Design
OO
Oladele Olaoluwa
Community & Coordination
ID
Ibitowa A. Daniel
Video Creation
HR
Habeebullahi Raji
Ads Campaign
SY
Sodiq Yusuf
Growth Tracking
KQ
Kushimo Quam
Content Amplification & Admin
ML
Maryam Lawal
Graphics & Admin Support

Academic Advisor

Dr A
Academic Advisor
Dr. R. A. Adeyemi

Lecturer, Department of Statistics, Federal University of Technology, Minna. Provides academic oversight, research validation, and institutional support for the TradeFlow NG platform's methodology.

Three principles behind every decision

🎯

Specific, not general

We don't build dashboards that say "prices are high." We build systems that say "buy Yam in Nasarawa, sell it in Lagos, expect ₦198k profit." Specificity is the product.

📊

Evidence before claims

Every statistic we publish is sourced. Every insight we share comes from real field data. We ran a primary demand survey across 16 states before making any claim about consumer demand. That is the standard we hold ourselves to.

🔗

Two constituencies, one system

We serve traders and consumers simultaneously. Better routing means better margins for traders and better food access for households. We don't have to choose — fixing the distribution layer benefits both.

Want to partner, fund, or collaborate?

We're actively seeking grant opportunities, institutional partnerships, and field expansion support. To find out more, reach our Chief Information Officer, Mr. Stephen Oladele, directly.