π Case Study
Automotive Tier-1 Supplier Cost Roll-Up Accuracy Improvement
17% cost variance between ERP roll-up and actual landed cost due to unaccounted customs duties and packaging fees
ποΈ Project Overview
New EV battery pack BOM for German OEM
π― Challenge
17% cost variance between ERP roll-up and actual landed cost due to unaccounted customs duties and packaging fees
π§ Design Approach
Built custom cost roll-up engine integrating ERP, freight forwarder APIs, and tariff databases (HTS codes)
π Design Diagram
AI-generated project design illustration
π Key Calculations
Landed Cost Variance
|Planned β Actual| / Planned
Result: 2.1%
Met OEMβs Β±3% target tolerance
π Results
Achieved 99.4% cost accuracy; reduced quoting cycle from 11 to 3 daysπ‘ Lessons Learned
- β’Duties, insurance, and handling are non-negotiable inputs in cost roll-up
- β’Supplier-provided MOQ and tiered pricing must be modeled dynamically
β Key Takeaways
- 1Duties, insurance, and handling are non-negotiable inputs in cost roll-up
- 2Supplier-provided MOQ and tiered pricing must be modeled dynamically
π Prerequisites
Understand these before this topic
β‘οΈ Next Step
Continue your engineering workflow
π Engineering Applications
See how this applies across industries