AI-driven forecast
Forecast parts demand based on lifecycle and usage.
Servigistics — Service Parts Inventory Optimization
Servigistics optimizes field service parts inventory: stock levels, location, pricing, and contracts — reducing cost while maintaining SLAs.
AI for the service parts supply chain
Unlike standard ERP inventory management, Servigistics focuses on service parts — characterized by low volume, uneven demand, and criticality to uptime.
−25%
Spare parts inventory
+15%
Service level
30+
Years of experience
Why choose Servigistics?
Network stock optimization
Automatically recommend stock levels per depot/region.
Dynamic pricing
Optimize parts pricing based on competition and margin.
End-of-life planning
Manage parts for products nearing end of support.
Capabilities of Servigistics
Forecasting
Statistical + ML-based demand forecasting.
Inventory Optimization
Multi-echelon optimization.
Pricing
Dynamic pricing by customer segment.
Contract & Warranty
Manage entitlements per contract.
Reverse Logistics
Manage returned parts, repair, and refurbishment.
Customer testimonials
Volvo CE — Heavy equipment
Optimized 800+ parts depots globally, cutting inventory by 25%.
Pratt & Whitney — Aircraft engines
Optimized service parts for a fleet of 80,000+ engines.
Frequently asked questions
How does it integrate with ERP?
Servigistics has connectors for SAP, Oracle, and Microsoft Dynamics — synchronizing master data and transactions.
Which industries is it suited to?
Heavy equipment, aerospace, automotive, medical devices, and industrial — any sector with complex field service.
Discuss Servigistics with a NEAX expert
NEAX is a PTC implementation partner in Vietnam — roadmap consulting, business-driven configuration, training, and operational support.