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WAVES® Sustainability Management Platform
Transport Emissions
CO₂-emissions of intermodal transports.
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Site emissions in Scopes 1-3.
Product Carbon Footprint
AI-based product carbon footprint.
CSRD
CSRD-report incl. materiality analysis.
EU Taxonomy
Assessment of economic activities.
Supply Chain Optimization
Demand Forecasting
AI-supported demand forecasts.
Raw Material Price Forecasting
Forecast raw material prices.
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Optimize processes with AI.
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Entry into the world of AI.
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Using sustainability as a competitive advantage
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Unsere Partnerschaft mit Celonis.
Success Stories
Resource planning in logistics with the help of AI-supported demand forecasts
AI-supported demand forecasts to better predict market developments in the aftermarket business
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Use Cases
Optimizing supply chain management through precise forecasting models in the textile industry
In a constantly changing supply chain faced with supply uncertainties, a leading logistics service provider is implementing advanced machine learning models to improve forecast accuracy and enable efficient personnel and warehouse planning.
Forecasting methodology in the insulation material industry through AI integration
Learn how a multinational manufacturer of insulation materials not only drastically improved its forecast accuracy by implementing an AI-supported forecasting tool, but also significantly increased operational reliability and cost efficiency.
Automobile manufacturer predicts sales of over 500,000 items
A major German automotive manufacturer is experiencing volatile demand in the after sales business and is no longer satisfied with the current forecasting approach. With pacemaker.ai, a transparent solution was found.
Optimizing inventory planning in the automotive supplier industry
In the automotive supplier industry, newly introduced products and the fluctuating ordering behavior of OEMs require an efficient planning method. Discover how an improved planning strategy not only saves time but also increases the accuracy of inventory forecasts and avoids common problems such as excess inventory and supply bottlenecks for our customer.
Revolutionizing sales forecasting in the filter industry with AI-based solutions
Learn how pacemaker.ai uses machine learning to overcome the challenges of predicting oil and air filter sales, improving forecast accuracy by 41% and drastically reducing planning effort.
Optimizing logistics planning through AI-driven forecasting technology
Discover how pacemaker.ai improved forecast accuracy and efficiency in the warehouse operations of a leading tire supplier through advanced AI forecasts. This technology makes it possible to precisely predict daily and weekly output quantities and at the same time drastically reduces manual planning effort.
Aerospace supply chain planning
Learn how pacemaker.ai is revolutionizing supply chain planning for aerospace suppliers with cutting-edge, automated predictive models to ensure accurate and efficient inventory management.
