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Servigistics

Pioneer-to-Leader

What is Servigistics?

Servigistics is an enterprise‑grade service supply chain optimisation solution powered by purpose‑built industrial AI, machine learning and advanced data science to deliver deep insight and automation across service supply chain operations at lower total cost.

It has decades of innovation behind it and is recognised as one of the leading platforms for service parts and supply chain planning, helping original equipment manufacturers (OEMs) better forecast demand, reduce inventory costs and improve service levels.

Servigistics continues to lead the field with advanced AI capabilities, including agentic AI, autonomous planning and a predictive digital twin that simulates supply chain performance and supports continuous optimisation.

Servigistics Features

Discover Creo’s powerful toolset and see how it enables advanced design functionality across the product lifecycle. From generative design and additive manufacturing to simulation and analysis, Creo supports a wide range of 3D part and assembly capabilities. Explore how these tools help streamline design, validation and manufacturing, empowering teams to develop high quality products with greater speed, accuracy and confidence.

Industrial AI & Predictive Analytics

Industrial AI & Predictive Analytics

Harnesses machine learning, AI and data science to deliver stronger forecasts, better planning and smarter optimisation outcomes.
Multi‑Echelon Optimisation (MEO)

Multi‑Echelon Optimisation (MEO)

Industry‑exclusive capability that optimises parts and inventory across the entire service network to achieve desired service levels at the lowest cost.
Stochastic Digital Twin

Stochastic Digital Twin

Simulates uncertainties, disruptions and real‑world conditions so planners can test scenarios and make confident decisions.
Network & Lifecycle Optimisation

Network & Lifecycle Optimisation

Optimises stocking locations, supports new product introductions and part lifecycles, and integrates real‑time IoT data for richer insight.
Connected Service Parts Management

Connected Service Parts Management

Combines Servigistics with connected data (e.g. IoT and ThingWorx) for improved forecast accuracy and supply chain responsiveness.
Real‑Time Supply Chain Visibility

Real‑Time Supply Chain Visibility

Provides live monitoring of inventory, shipments and service operations across the network, enabling proactive decision‑making and rapid response to disruptions.

Servigistics Solution Selector

We offer time limited offers and extremely competitive prices for new and existing customers. In addition to highly competitive pricing, customers benefit from support, customer success, webinars, training resources, and ongoing technical guidance designed to maximise long term value.

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Servigistics

Benefits of Servigistics

Improved Forecast Accuracy

Servigistics uses advanced statistical and machine learning forecasting techniques to predict demand more precisely, even for sporadic or low‑volume parts.

Optimised Inventory & Reduced Costs

By aligning stocking plans with actual demand and multi‑echelon optimisation, organisations can reduce inventory levels and carrying costs while maintaining service performance.

Higher Service Levels & Asset Availability

Servigistics helps maximise parts availability and asset uptime, leading to stronger customer satisfaction, brand loyalty and repeat business.

Scalability & Broad Industry Use

Adaptable across complex service networks and industries such as aerospace, defence, automotive, medical devices, and high tech.

AI‑Driven Decision Support

New agentic AI capabilities deliver autonomous planning, root‑cause analysis and a planning assistant that accelerates cycles and reduces manual effort.

Smarter Service Supply Chains with Industrial AI

Servigistics leverages next-generation industrial AI to optimize the service supply chain, delivering high parts availability at the lowest possible cost while enabling precise alignment with strategic objectives. Using Servigistics’ AI-powered optimization algorithms, OEMs achieve higher service levels with up to 30% less inventory.

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