Servigistics revolutionizes service supply chain optimization with purpose-built industrial AI innovations. Leveraging decades of advanced algorithm innovation with the incredible potential of artificial intelligence, machine learning, and advanced data science, Servigistics delivers unprecedented levels of insight and automation within supply chain operations at the lowest possible cost.

Features

• Industrial AI Innovation: Gain a significant advantage with purpose-built, AI-powered optimization capabilities tailored for the service supply chain.
• Multi-Echelon Optimization: Go beyond single-echelon planning techniques with industry-exclusive multi-echelon optimization (MEO) algorithms, strengthened by purpose-built AI/ML and advanced data science to deliver exponential results.
• Stochastic Digital Twin: Simulate and predict model uncertainties, disruptions, and complexities to optimize your supply chain's performance under various real-world conditions.
• Third-Party Validation: Independent third-party arbiters prove that Servigistics delivers the greatest value with tens of millions—or up to hundreds of millions of dollars/euros—of greater value than any other vendor.
• Autonomous Planning: Achieve autonomous planning with a self-healing system capable of high-order math, simulation computation, and modeling made easy through user-friendly interfaces and workflows.

Benefits

• Optimize the Service Supply Chain: Servigistics is on the innovative cutting edge of service supply chain optimization.
• Delight Your Customers: High service parts availability at the lowest cost with the ability to fine-tune the system to meet strategic objectives.
• Increase Service Levels: OEMs increase their service levels with 30% less inventory.
• Achieve Peak Asset Availability: Maximize equipment uptime and availability with a service supply chain tuned to maximize customer satisfaction, brand loyalty, and repeat purchases.
• Support Complex Service Environments: Proven track record of innovation and technological advancement in support of service parts planning and broader capabilities within the service lifecycle.