01
Changing conditions
Factor changing weather and soil conditions into supply forecasts without rebuilding the model manually.
Digital agriculture
AI insights for dairy supply chains
Plan with confidence. Forecast and model milk volumes and composition using AI and machine learning, replacing uncertainty with clarity.
Milk volume forecast
A live view of likely supply
Move from time-consuming forecasts that require frequent revision to a model that learns from actual recorded data and the drivers shaping future supply.
98%Model accuracy versus actual recorded data
<6 moTarget return on investment
100+ hrsMinimum weekly forecasting time saved
Milk volume forecast
4,820 L / day
ForecastActuals
The challenge
Navigating dairy supply complexity
Dairy supply chains are fast-moving and complex, with milk supply driving planning at every level. Traditional forecasts are time-consuming and require frequent revision, leaving planning teams exposed to uncertainty.
02
Complex biological drivers
Understand the effect of animal health, nutrition and other farm-level variables on volume and composition.
03
Cost of forecast error
Reduce the opportunity lost through under- or over-forecasting across production, sales and distribution planning.
The solution
Predictive AI forecasts
The platform securely unifies and standardises supply data to provide simple, live views of your operations so the right decisions get made faster.
Continuous learning
Machine-learning models identify key supply drivers and improve with every new data cycle.
Complex data analysis
Combine farm production records, weather patterns, soil conditions and feed inputs across the supply base.
Data quality monitoring
Track completeness, validity and accuracy so gaps surface before they undermine confidence in the forecast.
Real impact
Real financial impact. Rapid ROI.
Better data supports better decisions. More accurate forecasts reduce manual processing, minimise the financial impact of forecast error and help teams capture more value across the season.
Faster, more confident production planning
Less manual forecast preparation
Earlier response to supply variance
Reduced opportunity cost from forecast error
Who benefits
Unlocking value across the supply chain
From farm gate to co-operative board, clearer forecasts create visibility and value at every level of the dairy supply chain.
For farmers
Empowering producers
Track output and develop feeding strategies that protect profitability while considering carbon impacts.
For processors
Optimising operations
Understand likely milk volumes and composition by farm and region to improve sales, production and distribution plans.
For co-operatives
Strategic planning
Use longer-term forecasts to close the gap between supply and demand and maximise value across milk and derivative products.
How it works
A quicker, more cost-effective mechanism to deploy AI
A five-step deployment connects existing data, creates dairy-specific models and gets useful forecasts into the hands of the people who need them.
Typical time to value: 4–6 weeks.
Connect your data
Securely connect existing farm and legacy systems through connectors and APIs without a rip-and-replace programme.
Transform it
Clean and standardise the information using dairy-specific data models so the inputs are consistent and usable.
Train the models
Apply machine-learning algorithms that identify the drivers of supply and continuously improve over time.
Set up users
Manage accounts and permissions for planning teams, farm managers and leadership through role-based access.
Access the insights
Use live forecasts, variance analysis and recommendations to develop more confident optimisation strategies.
Get started
Ready to deploy the Rubik Agri-Data Platform?
Schedule a conversation to explore the data available, the forecasting challenge and the potential value for your organisation.
Schedule a conversation