IFS Advances Industrial AI with the Launch of IFS Cloud 24R2

IFS, a global leader in enterprise cloud and Industrial AI solutions, has introduced the latest advancements in its IFS Cloud 24R2 release. These innovations are designed to maximize value for industries that are asset- and service-intensive, empowering businesses to leverage Industrial AI at scale while transforming operational processes. This release focuses on enhancing user experiences, boosting productivity, driving profitability, and embedding sustainability into core operations.

A standout feature of the release is the dynamic AI-powered homepage, IFS Home. This innovation provides users with real-time visibility into project statuses, helping streamline workflows and optimize efficiency. By leveraging advanced AI, IFS Home detects anomalies automatically and recommends corrective actions, saving valuable time while improving the accuracy of project analysis. The homepage integrates an ecosystem of interactive widgets, allowing users to plan, manage, and service assets with speed, intelligence, and safety. This intuitive user experience represents a significant step forward in productivity optimization.

IFS Cloud 24R2 also enhances the IFS.ai Copilot, which delivers context-aware insights across various touchpoints within an organization. Integrated with customer data sources, the AI Copilot offers pre-configured industry-specific capabilities that align with the user’s position in the platform, enabling precise insights and actionable recommendations. This tool empowers service leaders and dispatchers to make faster, data-driven decisions, improving field service delivery and planning efficiency. Its ability to provide contextually relevant answers further enhances operational effectiveness and customer satisfaction.

The new IFS.ai Copilot for FMECA (Failure Modes, Effects, and Criticality Analysis) feature introduces a groundbreaking approach to asset management. By analyzing potential asset failures, their probabilities, and consequences, the tool helps organizations optimize asset availability, reduce maintenance costs, and mitigate operational risks. AI-driven insights extracted from unstructured data, such as maintenance reports and manuals, further refine failure analyses and maintenance strategies. This innovation is particularly impactful for industries relying on critical assets, offering a robust solution for proactive risk management.

To further improve productivity, the introduction of Prompt Libraries allows users to store relevant AI prompts, reducing repetitive tasks and enhancing operational efficiency. Another key development is the AI’s capability to process unstructured data, such as customer purchase orders, and automate subsequent workflows. For example, IFS.ai can auto-create production orders, accelerating the manufacturing process. The resulting impacts can then be modeled and analyzed using the Manufacturing Scheduling Optimization (MSO) Simulation feature, which helps production managers enhance capacity planning and meet demand efficiently. These simulation capabilities extend to asset maintenance planning, providing scenario-based analyses that improve predictive maintenance strategies.

Christian Pedersen, Chief Product Officer at IFS, emphasized the strategic value of these advancements, stating that they unlock customers’ operational and financial potential by leveraging the power of IFS.ai. He highlighted the transformative role of Industrial AI in asset- and service-intensive industries, positioning IFS as a leader in delivering innovative solutions for these sectors. Pedersen reaffirmed IFS’s mission to help organizations harness data to drive greater effectiveness, profitability, and sustainability.

The 24R2 release brings over 60 Industrial AI capabilities to market, addressing key challenges across industries. It enables organizations to optimize asset performance, improve resource utilization, and streamline operations, enhancing operational excellence. The advanced features, including tools like IFS.ai Copilot for Dispatchers and Demand Planner AI Forecast, empower businesses to proactively address issues, optimize scheduling, and improve forecasting accuracy. These capabilities collectively help organizations minimize downtime, reduce costs, and deliver exceptional service.

In addition to operational enhancements, the release focuses on driving profitability through AI-powered tools that streamline global operations and empower organizations to explore innovative business models. Features like SMART Objectives Generation assist employees in aligning their goals with corporate values, while AI-supported resource planning increases crew utilization and first-time fix rates, ensuring efficient service delivery. These tools allow businesses to achieve measurable financial gains by reducing waste, improving resource allocation, and enhancing employee productivity.

Sustainability is another core pillar of the IFS Cloud 24R2 release. By embedding sustainability into its platform, IFS enables organizations to track, analyze, and report on their environmental impact more effectively. The Sustainability Management Module supports compliance with frameworks such as CSRD, while the enhanced Emissions Tracker addresses critical Scope 3 emissions categories, including waste and transportation. These tools help organizations optimize operations and embrace circular manufacturing models, aligning their strategies with broader environmental goals.

With the IFS Cloud 24R2 release, IFS continues to lead the way in Industrial AI innovation, offering solutions that address complex challenges in asset- and service-intensive industries. By focusing on operational efficiency, profitability, and sustainability, IFS provides businesses with the tools to unlock new levels of performance and adaptability, helping them thrive in an increasingly competitive and data-driven world.