We fix the broken link between where food is grown and where people need it.
TradeFlow NG uses AI to forecast commodity prices and route inter-state traders to the most profitable markets every week — connecting agricultural surplus to the households and communities that need it.
An early-stage team validating a real distribution problem on the ground — building the data network before scaling the claims.
A working forecasting + optimization platform is live. Our current focus: deepening field validation from 3 states to all 8, and converting agent submissions into confirmed, trusted price data.
We surveyed 70 respondents across 16 states and found the same foods on both lists — surplus in one place, inaccessible in another. This is the gap TradeFlow NG exists to close.
Yam was simultaneously reported as surplus by 60% of respondents and inaccessible by 43% — often in neighbouring states. The same food. Abundant somewhere, unreachable somewhere else.
That is not a production failure. That is a distribution failure. And it is exactly what TradeFlow NG's routing intelligence already addresses.
Surplus vs. Inaccessible — by commodity
Not from poor harvests. From trading blindly — buying at the wrong market, routing to the wrong destination, returning with empty trucks.
Traders decide where to sell based on phone calls and guesswork. By the time they arrive, prices may have dropped by 20–40%.
30–40% of agricultural logistics trips return empty. Fuel burned, revenue zero, profitability destroyed.
Tomatoes and peppers spoil when routes are wrong and transit is delayed. Losses of 40–60% per load are common.
When traders route incorrectly, markets go undersupplied. Prices spike for the household trying to buy food that week.
A closed loop — data in, recommendations out, outcomes fed back to make the next forecast smarter.
19 field agents submit weekly commodity prices from markets across our 8 target states.
Prophet models predict next week's prices for every commodity in every state.
Linear programming finds the highest-profit route considering costs, capacity, and risk.
Specific recommendation: commodity, origin, destination, expected profit. Every week.
Updated weekly from our field agent network.
Data from TradeFlow NG field agents — live via open API · Updated every Monday at 06:00 WAT
TradeFlow NG sits at the centre of Nigeria's agricultural supply chain — serving everyone from the trader on the road to the household at the table.
Inter-state agricultural traders who move yam, maize, rice, and tomatoes across Nigeria. They receive weekly route recommendations and price forecasts via the platform.
19 verified reporters across our 8 target states who submit weekly price data. They earn monthly stipends, accuracy bonuses, and airtime for every valid submission.
When traders route correctly, supply reaches demand markets and prices stabilise. Our primary survey found 70% of respondents face monthly food shortages — directly caused by distribution failure.
Federal and state ministries of agriculture, NIRSAL, and BOA working on food security. TradeFlow NG generates the first real-time inter-state price intelligence dataset Nigeria has ever had.
Agricultural economists, development finance institutions, and grant bodies who need evidence-based impact data. Our primary demand survey across 16 states gives them primary evidence at early stage.
Food processors, exporters, and commodity buyers who need reliable supply intelligence before committing capital. Our recommendations enable advance procurement planning across corridors.
A specific recommendation every week — commodity, origin, destination, expected profit. Not a dashboard. A decision.
See where prices are heading in your target market before you commit to the journey.
The system identifies profitable return loads — so your truck earns money both ways.
High-uncertainty forecasts are flagged clearly — you always know how confident the system is before you act.
Join Nigeria's most active agricultural price intelligence network. Visit your local market weekly, submit prices through our mobile app, and earn every month — no office required.
Join the Network →The north-south agricultural trade axis — Nigeria's most active commodity movement corridor. Agents recruited across all 8 states; deep on-the-ground trader validation completed in our first 3.
"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."
TradeFlow NG was built by a Nigerian data science and engineering team with academic research oversight. The system runs a Facebook Prophet forecasting model, a PuLP linear programming optimizer, and a field-agent network spanning 8 states, with deep field validation underway across our first 3.
When a trader routes correctly because of TradeFlow NG, two things happen at once: the trader earns more, and a household in a market that needed supply can finally afford to buy. One decision. Two beneficiaries.
Data scientist and platform architect. Built the entire technical stack — Prophet forecasting, PuLP optimization, dashboards, cloud infrastructure, and the ML pipeline.
Coordinates operations across the full team, ensures execution of weekly priorities, and holds the team accountable to TradeFlow NG's field targets.
Leads digital growth strategy, inbound acquisition, and partnership development with market associations, cooperatives, and institutional stakeholders.
Core Team