Perstorp Adopts RELEX AI Demand Planning to Boost Forecast Accuracy and Streamline Global Operations

Perstorp Adopts RELEX AI-Driven Demand Planning to Enhance Global Operations

Swedish specialty chemicals company Perstorp is upgrading its demand planning by adopting RELEX Solutions’ machine learning-based forecasting tools. This move aims to boost forecast accuracy, streamline planning processes, and provide more dependable data for production decisions.

Founded in 1881, Perstorp operates seven production sites and three R&D centers across Europe, North America, and Asia, serving customers in over 100 countries. Since becoming a subsidiary of PETRONAS Chemicals Group (PCG) in 2022, the company has faced growing market complexity and increasing demand variability.

Improving Forecast Accuracy with ML-Driven Demand Planning

Perstorp will implement RELEX’s demand planning and sensing solutions, which use advanced machine learning algorithms to generate daily, product-level forecasts automatically. This approach reduces manual workload for planners and enhances the management of sales and operations planning (S&OP).

Katrin Åkerlindh, Director Commercial Excellence at Perstorp, highlights the benefits: “With market changes accelerating, we needed to move beyond traditional methods. RELEX helps us track customer demand across channels and allocate resources where they have the greatest impact, supporting informed commercial decisions aligned with our goals.”

Aligning Operations with Market Demand

Integrating detailed market data enables Perstorp to align production and inventory more closely with actual demand fluctuations. This reduces waste and lowers inventory costs while empowering teams to make decisions at operational, tactical, and strategic levels.

Stefano Scandelli, General Manager at RELEX Solutions, adds, “Perstorp gains tools that improve coordination across their supply chain and deliver measurable value. This project shows how AI-based demand planning can help manufacturers adapt effectively to changing market conditions.”

• Improved forecast accuracy through machine learning
• Automated daily demand sensing per product
• Reduced manual planning effort
• Better alignment of production with customer demand
• Lower inventory and waste costs
• Enhanced decision-making across planning horizons

Operations professionals looking to understand AI-driven demand planning may find additional practical resources on Complete AI Training’s latest AI courses.