AI Inventory Min/Max Optimizer
Intelligent stock level optimization powered by machine learning, built for MRO inventory management.
About EDAP
EDAP (Enterprise Data Analytics Platform) delivers data-driven solutions for industrial and mining operations. Our AI Inventory Optimizer was developed in partnership with CITIC Pacific Australia to address the challenges of MRO (Maintenance, Repair & Operations) inventory management in heavy industry.
We combine cutting-edge machine learning with deep domain expertise in supply chain and materials management to deliver practical, production-ready tools that integrate directly with SAP MM.
Visit edap.com.auThe Optimizer
The AI Inventory Min/Max Optimizer uses a V4 Enterprise ensemble model combining XGBoost and Random Forest to predict optimal stock levels. Trained on 400,000 synthetic scenarios calibrated against real-world consumption patterns, it delivers accurate MIN (Reorder Point) and MAX values ready for SAP MM02 upload.
Ensemble Learning
XGBoost (400 trees, 60% weight) + Random Forest (200 trees, 40% weight) for robust predictions across all demand patterns.
8 Demand Patterns
Automatic classification: Regular, Seasonal, Intermittent, Lumpy, Erratic, Declining, Growing, and Project-based demand.
Adaptive Ceiling
V4+ applies intelligent ceiling rules based on lead time urgency, annual usage, max single month, and average purchase batch size.
5 Distribution Methods
Normal, Poisson, Hybrid, Balance (recommended), and custom variants tailored to different consumption profiles.
By the Numbers
Demand Pattern Recognition
The optimizer automatically classifies materials into one of 8 demand patterns using coefficient of variation, zero-month ratio, and trend analysis:
Service Level Options
99.8%
High (Z = 2.88)
Critical safety items, zero-downtime tolerance
98%
Medium (Z = 2.05)
Standard operational items
95%
Low (Z = 1.65)
Non-critical, readily available items
Contact
For questions, support, or partnership inquiries:
Website: edap.com.au
Application: optimizer.edap.com.au