Viessmann: Increasing efficiency in order processing

About Viessmann

Viessmann is a leading manufacturer of heating, industrial, and refrigeration systems. Founded in 1917, the company has grown to become one of the world's foremost providers of sustainable and high-efficiency heating and climate solutions. Viessmann offers a comprehensive range of products that include residential and commercial heating systems, smart home solutions, and renewable energy systems. Their innovative products and solutions are designed to meet the energy challenges of today and tomorrow, ensuring comfort and efficiency for generations to come​.

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The Challenge

Amid significant shifts in market supply and demand, Viessmann's existing order processing system was unable to keep up with the increasing backlog of orders. This situation necessitated a rapid and effective solution to optimize the distribution and prioritization of orders. Viessmann required an advanced optimization algorithm to enhance the speed and efficiency of their order processing system.

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The Solution

Kineo responded to Viessmann's needs by providing a dedicated consultants with expertise in optimization algorithms. This consultant was integrated into Viessmann's team, where they tackled the complexities of the existing code base. The primary goal was to implement and fine-tune an innovative machine learning algorithm tailored to Viessmann's specific requirements. This collaborative effort aimed to streamline order processing and improve overall efficiency.

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The Impact

The partnership between Kineo and Viessmann led to significant improvements in order processing speed and efficiency. The tangible benefits were evident in the improved handling of the order backlog. The successful integration of the new algorithm not only addressed the immediate challenges but also set the stage for ongoing optimization efforts.

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AI for Supply Chain Optimization

Artificial intelligence is revolutionizing supply chain optimization by enabling more efficient and responsive systems. In the case of Viessmann, the application of AI-driven optimization algorithms allowed for better management of supply and demand fluctuations, enhancing the overall operational efficiency. AI technologies in supply chain management, such as predictive analytics and machine learning, help improve demand forecasting, inventory management, and logistical planning, demonstrating the transformative potential of AI in this sector.

By leveraging AI and machine learning, companies like Viessmann are able to offer innovative solutions that meet the evolving needs of their customers while contributing to a more efficient and resilient supply chain.

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