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AI for
Sustainability

Artificial intelligence is a versatile technology. There are a wide variety of use cases in which data science and artificial intelligence can be used to effectively solve sustainability challenges in the business context.

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Reaching sustainability goals with data and artificial intelligence

AI for more sustainability

Today more than ever, companies are faced with the challenge of making their value and supply chains more sustainable. On this path, new approaches and ideas for sustainability strategies are required.

Data science and artificial intelligence are versatile technologies. Almost every company has a wide variety of possible uses of AI to solve specific sustainability challenges. Some of the goals that can be achieved with data science and AI are:

  • Reduction of resource consumption and greenhouse gas emissions
  • Avoiding overproduction
  • Increasing the lifespan of products and machines
  • Increasing the sustainability of products and packaging

For companies, solving sustainability challenges through data and AI is beneficial from different perspectives. In addition to the positive impact on the environment and climate, it usually also results in efficiency gains and associated cost savings. 

Use cases of AI that address sustainability challenges

Customer Segmentation

Identify customer groups with an affinity for sustainability using AI and align your product portfolio and marketing activities accordingly.

Efficient Production Processes

Artificial intelligence can increase the resource efficiency of production processes in such a way that less material, water and energy are used.

Predictive Maintenance 

With data science and AI, future defects in machines, vehicles or products can be detected at an early stage, thus avoiding costly repairs.

Quality Control

Artificial intelligence can automatically monitor the quality of products. This allows you to react quickly and avoid the further processing of faulty products.

Utilization of Delivery Capacities

Through the optimal planning of routes, vehicles and delivery quantities, the transport needs of companies can be met as efficiently as possible

Demand Forecast

Optimize your order, inventory and production management based on reliable demand forecasts and thus avoid overcapacity.

Product and material development 

AI can be used to predict the properties of materials and products. In this way, sustainable alternatives can be identified efficiently.

Recommendation of Sustainable Products

With AI, you can suggest sustainable alternative products to your customers in the online shop in order to increase sales of these in a targeted manner.

We help you achieve your sustainability goals with AI

From idea to solution

We support you from the identification of specific sustainability challenges, through the identification of AI-based solution approaches to technical implementation. Arrange a meeting to analyze your challenges and benefit from our experience from over 350 projects. We are looking forward to your message. 

Our advantage

500 Data and AI Projects successfully realized
100 Customers from 10 industries
85 Experts from 17 fields of study
10 Years of experience in Data Science, ML and AI

Partner & Friends

Interested? Let's talk.

Would you like to have an exchange with us on the subject of artificial intelligence for sustainability? Or do you already have a specific project in mind? Contact us.

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Jan Fischer
Lead AI & Environment