Agentic AI for Supply Chain Processes

IFS has added industrial AI-powered features introduced with IFS.ai into the latest IFS Cloud 25R1 release. This new release incorporates agentic industrial AI capabilities.

With 200+ AI-based capabilities now available in IFS Cloud, users can automate workflows and leverage industrial agents throughout the entire asset lifecycle and across manufacturing processes—from supply chain augmentation, through to critical service capabilities.

New capabilities include:

IFS.ai Forecasting and Inventory Replenishment helps users accelerate demand planning and inventory replenishment for spare parts, so they can optimize global and centralized stock management. It calculates safety stock, reorder points, and optimal lot sizes for parts used in the maintenance process from service and asset part demand.

IFS.ai Summarized Supply Chain Events transforms unstructured data into valuable insights, so users have better sight across their critical supply and production processes.

IFS.ai Copilot for Shipment Order is designed to improve supply chain matrix with automated and flexible freight selection which enhances sales team productivity and customer services.

IFS.ai Copilot for Customer Order enhances supply chain analysis leveraging AI to summarize important events related to orders in supply chain scenarios. Provides deeper insights and speeds up decision-making leading to better service and improved stakeholder communication.

IFS.ai Emissions Management in IFS Cloud supports Scope 1 and 2 emissions, management, and reporting allowing customers to calculate emissions and accurately track progress against 160,000+ verified emissions factors (thanks to the IFS global partnership with Climatiq).

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