Critical
Program A
Contract margin target
32%
Forecast
26.8%
- Margin at risk
- $23,000
- Main driver
- Carbon fiber price +14%
Cost & Margin Forecast
Know the real cost of productionbefore production starts.
INVO combines bills of materials, component prices, purchasing data, labor, production efficiency, waste, energy and logistics to predict the real cost and expected margin of every unit, configuration, contract and production plan.
- Revenue
- $120,000
- Planned cost
- $78,000
- Expected margin
- 35.0%
AI forecast
Forecast cost: $84,000
Forecast margin: 30.0%
−5.0 pp
Why?
- Components
- +$2,400
- Waste
- +$1,500
- Labor
- +$1,300
- Production efficiency
- +$800
Margin risk detected
Plan vs reality
The bill of materials says what production should cost.AI predicts what it will most likely cost.
Planned cost
bill of materials × quantity × standard price
- Carbon fiber
- $12,000
- Motors & ESCs
- $5,000
- Battery cells
- $3,000
Planned material cost$20,000
Forecast real cost
INVO additionally accounts for:
- actual purchase prices
- historical consumption
- waste
- yield
- production efficiency
- working time
- overtime
- energy cost
- logistics cost
Planned
$20,000
Forecast
$21,780
+8.9%
Standard costing shows the target. Predictive costing shows what will probably happen.
Cost drivers
Margin shifts long beforeyou see it in a financial report.
- 01
Component prices
What are we actually paying?
Supplier price changes directly affect the unit cost of future production.
- 02
Actual consumption
How much will production actually use?
Real consumption can differ from the theoretical value derived from the bill of materials.
- 03
Waste and yield
How much product will we lose?
Forecast waste and yield affect the real cost of every unit produced.
- 04
Labor
How many hours will production need?
Efficiency, staffing and overtime affect the cost of executing the plan.
- 05
Production efficiency
How efficiently will the plan run?
Longer cycles, downtime and changeovers increase cost.
- 06
Logistics and energy
What does execution add to cost?
Transport, energy, test-range time and other operational costs can be included depending on the data available.
INVO combines these cost drivers to show their joint effect on the expected margin.
Margin intelligence
See where margin is earned —and where it is lost.
- Revenue
- $3.6M
- Planned margin
- 34.2%
- Forecast margin
- 30.8%
- Margin at risk
- $120K
- Contracts to review
- 7
Contracts · planned vs forecast margin
| Contract | Revenue | Planned | Forecast | Margin |
|---|---|---|---|---|
| Program AHigh | 120K | 78K | 84K | 30.0% |
| Program BMedium | 87K | 59K | 61K | 29.9% |
| Program CGood | 52K | 34K | 33K | 36.5% |
Program A · margin difference
−5.0 pp
Main drivers
- Components
- −2.1 pp
- Waste
- −1.4 pp
- Labor
- −1.1 pp
- Production efficiency
- −0.8 pp
Cost forecast
From a single unitto the whole operation.
Bill of materials
Interceptor airframe
Predicted cost: $2,060 / unit
Configuration
EO/IR variant · lot of 10
Predicted cost: $23,400
Client / contract
Program A
Predicted monthly cost: $0.51M
Production plan
Tomorrow
Predicted cost: $84,000
Whole operation
August
Predicted operating margin: 31.4%
The same cost intelligence can be aggregated from a single bill of materials up to a configuration, client, contract, production plan or the whole operation.
Margin risk
Find the contracts losing marginbefore the month closes.
Warning
Program B
Target
31%
Forecast
29.7%
- Margin at risk
- —
- Main driver
- Waste above historical range
On track
Program C
Target
30%
Forecast
32.1%
- Margin at risk
- —
- Action
- No action needed
Don't wait for the end-of-month report to discover that a contract has become unprofitable.
What-if analysis
See the financial impactbefore you change the plan.
Current plan · 36 units
New forecast
Materials
$41K
$38K
Labor
$23K
$22K
Waste
$5K
$3K
Other
$15K
$15K
Forecast margin
30.0%
35.0%+5.0 pp
Simulated changes
- Carbon fiber price +8%
- Waste −1.5 pp
- Production efficiency +5%
- Change bill of materials #284
Expected financial impact+$6,000 / day
Possible scenarios
- component price changes
- supplier changes
- bill of materials changes
- configuration changes
- waste reduction
- staffing changes
- production efficiency
- volume changes
An illustrative simulation on sample data — not a declared result.
From forecast to action
AI doesn't only show where margin is at risk.It helps point out what can improve it.
Bill of materials optimization
Potential saving: $12 / unit
Swap a component in bill of materials #284 for an approved alternative.
- Expected monthly impact
- +$7,900
Purchasing
Supplier price difference detected
Two approved suppliers, different price levels for the same requirement.
- Potential difference
- $3,700
Production
Line 3 efficiency below the expected level
Suggested action: review the production allocation.
- Expected extra cost
- +$1,900 · +84 h
Models & technology
The forecasts rest on whatactually happens in your operation.
- ERP
- orders · contracts · prices
- Bills of materials and configurations
- bills of materials · units · theoretical consumption
- Purchasing
- purchase prices · suppliers
- WMS
- inventory levels · actual issues
- MES
- production time · actual consumption · yield · waste
- Finance
- revenue · cost structures
Cost forecast
What will production actually cost?
The model learns the differences between planned and actual execution.
Planned unit cost
$2,150
Forecast
$2,280
Gradient Boosting · Regression Models
Margin forecasting
How will margin change over time?
The models analyze future volumes, prices, costs and historical variances.
Week 34 · expected margin
31.2%
Range
29.8–32.4%
Time-Series · Probabilistic Forecasting
Cost driver analysis
Which drivers weigh most on the forecast?
The system points out the drivers most strongly linked to the change in forecast.
Component price
+2.1 pp
Waste
+1.4 pp
Feature Attribution · Explainable ML
Every operational decision has a financial impact
BOM & Configuration Intelligence
Optimize a bill of materials → see the margin impact
Demand & Purchasing
Change supplier → see the margin impact
AI Production Planning
Change the production plan → see the impact on labor and margin
Anomaly Detection
Catch variances early → see the margin impact
Cost & Margin Intelligence is the financial layer that ties the whole Intelligence layer together.
Business impact
Protect the marginbefore the costs are incurred.
Earlier visibility
See margin risk before the month closes
Don't wait for accounting data to see a contract's result deteriorating.
Better bidding
Understand the real cost of every contract
A better basis for tendering and renegotiation.
Cost control
Know where cost variances come from
Break the plan-to-forecast difference down into specific cost drivers.
Better decisions
See the financial impact before you change operations
Compare scenarios before changing a configuration, a supplier or the production plan.
Margin protection
Focus on the contracts that need attention
Manage by exception instead of reviewing every position.
Positioning
Standard costing
What should it cost?
Predictive costing
What will it probably cost?
Decision intelligence
What can we change before the cost is incurred?
Indicative values for production at $14–55M revenue scale — an illustrative simulation, not a declared result.
Cost & Margin Forecast
Know your marginbefore production starts.
See how INVO connects operational data with the P&L: a forecast of the real cost of production, identification of margin risk and a simulation of what operational decisions do.