Business Value Center
Potential Value Simulation — hypothetical AI value on synthetic baselines
Potential Value Simulation. Values are hypothetical and derived from synthetic baselines and configurable assumptions. They are not realised savings and must be validated with actual company data.
Annual potential value by category
At 70% adoption, confidence-weighted · Rp m per year at steady state
Total potential value (steady state, per year)
Rp 49.92 bn
≈ USD 3.1 m · simulation
Value ramp-up
Rp m per year by domain
Configurable value levers
Adjust the improvement assumption for each category
OER Improvement
636,900 t FFB processed/yr
Rp 14.40 bn
per year
Confidence78%OER Prediction & Optimization
Yield Improvement
578,000 t own FFB/yr
Rp 16.71 bn
per year
Confidence70%Yield Prediction + Fertilizer Optimization
Production Uplift (harvest)
Harvest completion 95.8%, loose fruit 3.1%
Rp 8.83 bn
per year
Confidence74%Harvest Forecasting & Scheduling
Downtime Reduction
≈ 620 h unplanned mill downtime/yr
Rp 6.19 bn
per year
Confidence82%Asset Failure Prediction
Maintenance Cost Optimization
Rp 38.0 bn maintenance spend/yr
Rp 1.62 bn
per year
Confidence76%RUL + Maintenance Decision
Fuel Optimization
Rp 19.8 bn fleet & genset fuel/yr
Rp 665 m
per year
Confidence80%Route Optimization + Fuel Anomaly
Inventory Optimization
Rp 36.6 bn stock · 18% carrying cost
Rp 620 m
per year
Confidence72%Demand Forecast + Safety Stock
Loss Reduction
Rp 4.2 bn weighbridge, fruit & procurement leakage
Rp 470 m
per year
Confidence64%Weighbridge & Procurement Anomaly
Energy Efficiency
Rp 12.4 bn mill energy & biogas opportunity
Rp 419 m
per year
Confidence69%Boiler & Methane models
Decisions taken in this demo session
1 recommendation approved or in execution (ACT-010), currently risk-reduction actions that are not monetised. This illustrates how value tracking would link approved AI actions to measured outcomes in production.