AI-Powered Inventory Management Solutions for Asset-Intensive Industries
Release the capital locked in duplicate, obsolete, and poorly governed spare parts, without disrupting your operations. PiLog DQG Suite delivers a systematic, ISO-aligned approach that turns inventory chaos into competitive advantage.
5% – 15%
Typical unnecessary inventory in asset-intensive industries
$12.9M
Average annual poor data quality cost to companies (Gartner 2025)
15%
Spares expense improvement achievable with clean data (BCG)
​300% - 800%​
Year 1 ROI with 4-6 month payback with PiLog DQG Suite
The Inventory Value Drain
Excess Working Capital​
5-15% of inventory is tied up in slow-moving or non-moving stock due to poor visibility and duplicate material records.​
Purchase Leakage
10-20% duplicate or obsolete material records cause unnecessary procurement and premium-freight emergency orders.
MRO Stockout
Poor material master quality leads to frequent stockouts, production halts, and expedited orders at 10-30% cost premium.
Lack of Standardization
Inconsistent UoM, specs, and interchangeability data prevent cross-plant optimization and vendor normalization.
The $12.9M Annual Tax
For a company with $150M in spare parts inventory, industry data shows 5-15% ($7.5M – $22.5M) is tied up in duplicates and obsolete stock – money sitting on shelves instead of fueling growth.
“Strong material master quality and standard taxonomies are prerequisites for sustainable inventory optimization. Combining MDM, data quality, and analytics is essential to reduce working capital while maintaining service levels.”​
— Gartner Research, 2025
Annual Carrying Cost per Redundant Part
$4,500 - $7,500
Source: BCG Asset Management Study 2025
The Pilog Approach
Three-Pronged Solution Framework
Fuzzy matching algorithms identify duplicates across naming conventions and regional variants. Automated standardization using ISO 14224 taxonomies and real-time SAP material management integration for live inventory accuracy.
Expert-led data profiling and cleansing projects combined with enrichment using 25M+ golden records from PiLog’s iContent Foundry. Classification alignment across all plants and regions.
ABC/XYZ analysis for criticality-based stocking, min-max level recalibration based on clean data, and SLOB (slow-moving / obsolete) identification and disposal strategy.
Business Outcomes
Quantified Financial Impact.
$500,000 – $2 million
Emergency PO savings from 20–40% reduction
50%
Faster part searches hundreds of engineering hours reclaimed
4 – 6 months
Investment payback period with 300–800% Year 1 ROI
How Much Capital is Locked in Your Inventory?
Let us run a complimentary assessment on your material master data and quantify the opportunity.
