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
Identify customer groups with an affinity for sustainability using AI and align your product portfolio and marketing activities accordingly.
Artificial intelligence can increase the resource efficiency of production processes in such a way that less material, water and energy are used.
With data science and AI, future defects in machines, vehicles or products can be detected at an early stage, thus avoiding costly repairs.
Artificial intelligence can automatically monitor the quality of products. This allows you to react quickly and avoid the further processing of faulty products.
Through the optimal planning of routes, vehicles and delivery quantities, the transport needs of companies can be met as efficiently as possible
Optimize your order, inventory and production management based on reliable demand forecasts and thus avoid overcapacity.
AI can be used to predict the properties of materials and products. In this way, sustainable alternatives can be identified efficiently.
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.