India, 3 November 2025: Celonis, a global leader in Process Intelligence, and Cavalis have launched the Celonis Product Portfolio Optimisation for Manufacturing App, designed to help manufacturers reduce operational complexity and increase profitability through real-time, data-driven insights. The new solution gives manufacturers a living digital twin of their operations, enabling smarter, faster product decisions amid supply chain challenges and market volatility. The app leverages process intelligence to optimise product portfolios, identify cost drivers, and align decisions with market demand. “AI is bringing unprecedented opportunities to the manufacturing industry, yet most companies struggle to realise its full potential,” said Liam Mawe, Global VP – Industries, Celonis. “This app bridges that gap by combining our Process Intelligence with Cavalis’ domain expertise to deliver substantial business impact.” Fabian Gatzka, Managing Director and Co-Founder of Cavalis, added, “By embedding Process Intelligence into product management, we are transforming a manual, fragmented workflow into a strategic advantage that drives real-world outcomes.” The app integrates data from procurement, manufacturing, order management, and supply chain systems to analyse performance through Bill of Materials (BoM) decomposition. This enables granular assessment of product mix, cost efficiency, and component dependencies. Key Benefits: Real-time performance insights: Evaluate profitability and operational efficiency. Data-driven decisions: Identify high-performing products and align portfolios with market trends. Optimised product termination: Reduce maintenance and inventory costs. Enhanced efficiency: Detect bottlenecks and streamline supply chains. Revenue and cost gains: Increase capacity for innovation while lowering complexity. The Celonis Product Portfolio Optimisation for Manufacturing App is part of the Celonis Platform Apps Programme, which delivers pre-built, domain-specific solutions created by trusted industry partners using the Celonis Process Intelligence Platform.