Data Science, AI & Use Cases
Typical Use Cases at a Glance
Many companies face similar challenges – whether in production, customer service, or logistics. The following use cases are among the most common and impactful applications of data science and artificial intelligence. They exemplify how data-driven solutions create real added value – from efficiency gains and cost reduction to better decision-making. Is your use case not listed? That doesn’t mean we can’t help. Let’s talk!
Demand Forecasting and Inventory Optimization with AI
With an AI-based demand planning system, planners always have a clear overview of how demand and requirements are expected to evolve over the coming months.
discover now >Image Recognition Using AI
Computer vision enables reliable and automated quality checks in production.
discover now >S&OP – More Precise and Efficient Financial Forecasts & Reports
Those who have AI-based assistant systems and solid analyses at their disposal during S&OP meetings find it easier to coordinate among the various stakeholders.
discover now >Logistics & Supply Chain
Global supply chains, volatile demand, and high customer expectations – in logistics, speed and precision matter. AI-driven analyses help estimate needs early, optimize inventories, and streamline processes.
Demand Forecasting and Inventory Optimization with AI
With an AI-based demand planning system, planners always have a clear overview of how demand and requirements are expected to evolve over the coming months.
discover now >Keep an Eye on Costs with Price Predictions
Those who are able to accurately forecast future price developments can make more informed purchasing decisions and achieve cost savings.
discover now >Optimize Inventory Management
Maintaining inventory levels aligned with demand reduces storage costs while ensuring availability.
discover now >Reliably Predict Energy Demand
Those who understand the expected energy demand for the coming weeks can plan proactively and achieve cost savings.
discover now >Production & Maintenance
Efficiency, quality, and downtime – these are the core challenges in production. Companies face pressure to reduce costs while minimizing downtime risks. Data science and AI enable data-driven decisions, predictive maintenance, and automated quality controls.
Image Recognition Using AI
Computer vision enables reliable and automated quality checks in production.
discover now >Predictive Maintenance Optimizes Maintenance
Those who leverage data to determine the optimal timing and location for machine maintenance can minimize downtime and reduce costs.
discover now >Marketing & Sales
Understand customer needs, fulfill expectations, and simplify tasks for your marketing and sales teams. Leverage data science and AI in marketing & sales!
Enhance Customer Experience
Customized customer recommendations and reliable support through AI chatbots. The key to long-term customer loyalty.
discover now >Market Analysis and Trend Spotting
Recognize market and emerging fashion trends early and identify customer needs using AI.
discover now >Optimize Marketing Channels
Personalized engagement through optimal marketing channels. How AI maximizes return on investment.
discover now >Prevent Customer Churn
Those who identify impending customer churn early and understand its underlying causes can take proactive measures to retain customers.
discover now >Sales and Sales Support
Focus on valuable customer interactions and let AI handle repetitive sales tasks.
discover now >More Use Cases
Here you’ll find further inspiration on how data science and AI can generate added value:
Master Data Maintenance as a Basis for Sound Data Analysis
Reliably maintained master data is an important foundation for meaningful analyses and successful data analysis projects.
discover now >Plan Environmental Protection with Satellite Data
AI-based analysis of satellite data enables remote monitoring of the Earth’s condition and the effective utilization of the insights gained.
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