Inputs & equipment
Match products and capacity to local demand.
Intelligence for thehardest decisionsin agriculture.
Software to plan investments, manage supply and trading, and improve plant performance.
∛ CUBEROOTSAgriculture / Workspace
Margin & operating decisions
Current margin$54/tToday’s operation
Forecast if unchanged$49/tSix weeks ahead
Optimized forecast$57/t+$8/t vs. unchanged plan
Six-week margin outlook per tonne
Unchanged planOptimized plan
Recommended plan
Rebalance the supplier mix+$3/t
Keep the quality specification at a lower purchase cost.
Bring 1,200 tonnes forward+$2/t
Avoid peak-week freight premiums.
Run longer production batches+$3/t
Reduce changeovers and energy use.
Within quality, storage and delivery limits.
Sample data · Six-week planning scenario
From investment plans to plant settings.
Three connected products. The same data, at every level of detail.
Strategy
Where should we invest?
Years ahead
Tactical
What should we buy, sell or hedge?
Weeks to seasons
Operations
How should each process run?
Minutes to months
Put capital in the right place.
See how climate, water, demand and trade affect the value of a crop, region or asset.
- Compare sites and capacity
- Test returns under different scenarios
- Set investment priorities
∛ CUBEROOTSAgriculture / Strategy
Where to add capacity
Modelled scenariosForecast supply vs. plant needsThousand tonnes / year · modelled range
Forecast supplyPlant needs
Return in the downside case11.4%
Central region · dry-season scenario
Site returns under two scenariosBase / downside
Northern region12.1% / 8.6%
✓Central region14.8% / 11.4%
Southern region10.5% / 6.2%
Recommended decision ↗Build in the central region, in phases
The strongest downside return. Add the second line as supply grows.
Checked: water availability · supply coverage
Sample data
Protect margin as conditions change.
See what a change in supply or price means for your margin before you act.
- Track crop supply and trading signals
- Plan sourcing, stock and deliveries
- Compare purchases, sales and hedges
∛ CUBEROOTSAgriculture / Tactical
When to buy and hedge
Modelled scenariosCrop price forecastPrice index · today = 100
ForecastForecast range
Margin with the recommended plan$57/t
Six-week forecast · after purchase and hedge costs
Compare purchase and hedge plansMargin / t
Buy everything now$53
✓Stage purchases + hedge$57
Wait four weeks$49
Recommended decision ↗Stage purchases; hedge 40%
The best expected margin among plans that meet supply, storage and risk limits.
Checked: delivery cover · storage · price exposure
Sample data
Get more from every tonne.
Find what limits output and test changes before adjusting the plant.
- Pinpoint losses in processing and manufacturing
- Choose material blends and process settings
- Balance output, quality and energy use
∛ CUBEROOTSAgriculture / Operations
Tomato concentrate · Line 2
Modelled scenariosNext-shift forecast Incoming tomato solids: 5.2% → 4.8% More water to remove
Predicted concentrate output7.3t / hour
+0.8 vs. current plan
Finished product solids28%
Meets the quality target
Steam required10.8t / hour
11.5 t/hour available
Find the bottleneck
Capacity in raw tomatoes · t/hour- Intake55Available capacity
- Sort & wash48Available capacity
- Pulp46Available capacity
- Evaporate40→44Current → proposed
- Pack45Available capacity
Compare operating points
Recommended settings
Current → proposed- Tomato feed
- 40 → 44 t/hour
- Solids recovered
- 95 → 97%
- Steam flow
- 10 → 10.8 t/hour
Adjust sorting and evaporation together to recover more product from the forecast intake.
✓ Quality target ✓ Steam supply
✓ Packing capacity
✓ Packing capacity
Sample data
From understanding to action.
CubeRoots’ proprietary data and models combine with your data to explain performance, anticipate change and compare decisions.
Describe
What happened?
Track supply, prices, output and costs in one place.
Diagnose
Why did it happen?
Find the causes of lost margin, delays and waste.
Predict
What is likely next?
Forecast crop supply, demand and prices, with a clear view of uncertainty.
Optimize
What should we do?
Choose purchases, hedges and production plans within real operating limits.
Built for the whole value chain.
From agricultural inputs to food and feed. Tailored to each team’s decisions.
Growers & producers
Plan production, manage risk and time deliveries.
Traders & logistics
Source, store and move volume at the right margin.
Processors & manufacturers
Improve yield, quality and cost per unit.
Brands & retailers
Forecast demand and plan stock, pricing and supply.
Investors, lenders, insurers & public bodies
Assess risk, compare investments and strengthen food supply.
Selected case studies.
Selected work from our founder’s career. Client names are withheld.
Food production · Middle East
Choosing where food-security investment goes.
$15bn investment programme
Read case
- The decision
- How should a major investment programme be allocated across food production and food security?
- The work
- Supported investment allocation for a Middle Eastern organization using analysis of food production and food-security opportunities.
- The outcome
- Supported allocation of a $15bn investment programme across food production and food security.
Oilseed processing & trade · Global
Reducing costs from sourcing to sale.
$60m cost-saving opportunity
Read case
- The decision
- Where can an oilseed business reduce costs across its supply chain?
- The work
- Optimized the supply chain from origination through to sale, connecting sourcing and commercial decisions.
- The outcome
- An end-to-end supply-chain plan targeting $60m in cost savings.
Food processing · United Kingdom
Turning harvest forecasts into supply plans.
Yield forecasts linked to planning
Read case
- The decision
- How can a food producer use crop forecasts to improve its supply plan?
- The work
- Deployed sugar beet yield-prediction and supply-chain optimization algorithms.
- The outcome
- Yield-prediction and supply-chain planning algorithms deployed for the producer.
More case studies 3 more +
Agricultural products · Global
Forecasting demand to plan production.
$3bn product portfolio
Read case
- The decision
- How much should be produced when future demand is uncertain?
- The work
- Built production-level demand forecasting algorithms for a major agriculture business.
- The outcome
- Demand forecasts for a portfolio representing $3bn in revenue.
Blueberry production · Peru
Matching production to global markets.
Production and allocation planning
Read case
- The decision
- How should Peruvian production be allocated across global markets?
- The work
- Supported a major producer in optimizing blueberry production and global allocation.
- The outcome
- Decision support linking production in Peru to allocation across markets.
Crop production · China
Anticipating crop disease before losses grow.
$500m of revenue at risk
Read case
- The decision
- Where should teams focus attention as crop disease risk changes?
- The work
- Developed a virus and disease prediction system for key crops across China.
- The outcome
- A prediction system covering crops with $500m of revenue at risk.
Software that fits your business.
Our forward-deployed engineers work with your team to connect your data, tailor the models and make the software part of daily work.
01
Define the decision.
Agree how to measure success: margin, output, cost or return on capital.
02
Fit it to your operation.
Connect your systems and add your business rules, capacity and operating limits.
03
Put it to work.
Use it with your team, measure results and improve the models as conditions change.
Team & experience+
Strategy, science and engineering.
Our team combines experience in investment planning, forecasting, supply chains and facility optimization.
Academic roots: Oxford · Berkeley · Tsinghua · ETH Zurich
Bring us your hardest decision.
We’ll show you how the platform can help.