Automotive Industry

Parts Warehouse Inventory of 180,000+ SKUs for Tier 1 Automotive Supplier

Comprehensive physical inventory and reconciliation project for a major automotive parts supplier, achieving 99.7% accuracy across multiple distribution centers.

180,000+
SKUs Counted
5
Distribution Centers
99.7%
Accuracy Rate
14 Days
Project Duration

Client Overview

A leading Tier 1 automotive supplier specializing in powertrain components and systems for major OEMs worldwide. The company operates five regional distribution centers across North America, managing an extensive inventory of precision-engineered parts.

With annual revenues exceeding $2.8 billion and serving over 40 automotive manufacturers, maintaining inventory accuracy is critical for just-in-time delivery commitments and financial reporting compliance.

Industry Sector

Automotive Parts Manufacturing & Distribution

Company Size

$2.8B+ Annual Revenue, 8,500+ Employees

Automotive Parts Warehouse

The Challenge

The client faced significant inventory discrepancies across their distribution network, with variances exceeding $4.2 million in their previous fiscal year. These discrepancies were impacting:

  • Financial Reporting Accuracy: Material weaknesses identified during external audits requiring immediate remediation
  • Customer Service Levels: Stock-outs and delayed shipments affecting OEM production schedules
  • Operational Efficiency: Excessive safety stock levels masking underlying inventory control issues
  • System Reliability: Lack of confidence in ERP data preventing effective demand planning

The complexity was compounded by the high SKU count, multiple storage locations per item, and the need to maintain operations during the inventory process to avoid disrupting customer deliveries.

Our Solution

Phased Approach

Deployed teams sequentially across five distribution centers over 14 days, allowing each facility to maintain 80% operational capacity during counting activities.

RFID Technology

Utilized handheld RFID readers for high-value components and mobile barcode scanners for standard parts, achieving 400+ items per hour per counter.

Experienced Team

Mobilized 45 certified inventory specialists with automotive parts expertise, including dedicated quality control auditors performing blind recounts on 15% of locations.

Real-Time Integration

Integrated directly with client's SAP system for real-time variance reporting, enabling immediate investigation of significant discrepancies during the count process.

Methodology Highlights

Pre-Count Preparation
  • • Location mapping validation
  • • Slow-moving item identification
  • • Cut-off procedure establishment
  • • Team training and certification
Count Execution
  • • Zone-based counting strategy
  • • Blind count methodology
  • • Exception handling protocols
  • • Quality control audits
Post-Count Analysis
  • • Variance investigation
  • • Root cause analysis
  • • Process improvement recommendations
  • • Final reconciliation reporting

Results & Impact

99.7%
Inventory Accuracy

Achieved industry-leading accuracy rate across all five distribution centers

$3.8M
Variance Identified

Discovered and documented discrepancies for proper financial adjustment

Zero
Operational Disruption

Maintained customer service levels throughout the entire project

Key Outcomes

Audit Compliance Restored

Eliminated material weakness findings and received clean audit opinion

Process Improvements Identified

Delivered 23 actionable recommendations for ongoing inventory control

Inventory Reduction Opportunity

Identified $12M in excess and obsolete inventory for disposition

Enhanced System Confidence

Restored trust in ERP data enabling better demand planning and forecasting

"The team's automotive parts expertise and systematic approach gave us complete confidence in the results. They not only delivered exceptional accuracy but also provided insights that are helping us transform our inventory management practices. This was a true partnership."
VP of Supply Chain Operations
Tier 1 Automotive Supplier

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