Use cases

AI in customer service: greater efficiency, higher satisfaction

Efficient customer service and smooth order processing are crucial to staying ahead of the competition. Customers expect fast, precise and personalized solutions. Delays or errors can jeopardize customer satisfaction and long-term business relationships.
Use the possibilities of artificial intelligence (AI):

Automate processes: Optimize workflows and the use of resources.
Increase customer satisfaction: Offer your customers targeted solutions efficiently and quickly.
Make informed decisions: secure and utilize the experience of your experts
Increase efficiency: Reduce the error rate and increase productivity
Strengthen customer loyalty: Sustainable success through personalization.

AI use cases in customer service

The use of artificial intelligence (AI) in customer service offers you a wide range of opportunities to improve the efficiency of your processes and customer satisfaction.

Automated systems, such as agents for ticket assignment, voice assistants or recommendation systems, process inquiries quickly, relieve your experts and enable personalized customer experiences – around the clock.

TheForrester report “The Knowledge Management Solutions Landscape, Q3 2024” impressively demonstrates that innovative technologies, such as artificial intelligence (AI), significantly expand the potential of knowledge management systems. The possibilities of artificial intelligence enable you to make optimum use of expert knowledge and make your customer service as efficient as possible.

Automation of ordering processes

Problem: Order processes that have to be processed or checked manually by experts delay order processing and often drastically increase process costs.
Solution: AI analyzes order details, checks availability and generates orders automatically.
Benefits: Faster processing, reduced errors and less workload for employees.

Classification and resolution of customer inquiries

Problem: Customer inquiries are often incorrectly assigned or take a long time to process. Solution: AI automatically classifies inquiries and suggests solutions to common problems. Benefits: Shorter response times, higher customer satisfaction and more efficient processes.

Predicting customer needs

Problem: Customer service is often reactive and not proactive to customer needs. Solution: AI analyzes customer data and predicts future needs or problems. Benefits: Proactive service, increased customer satisfaction and stronger customer loyalty.

Optimization of order processing

Problem: Delays and bottlenecks in order processing lead to dissatisfied customers. Solution: AI optimizes resource planning and prioritizes orders based on urgency and availability. Benefits: Greater adherence to deadlines, reduced costs and smooth processes.

Customer service optimization with chatbots

Problem: Long processing times and incorrect allocation of customer inquiries. Solution: AI chatbots answer common questions, classify queries automatically and forward complex cases. At the same time, they collect feedback for analysis. Advantages: Fast responses, greater customer satisfaction, efficient processes and 24/7 availability.

Analysis of customer feedback

Problem: Customer feedback is often not systematically evaluated, meaning that optimization potential remains untapped. Solution: AI analyses feedback from various channels and identifies trends and suggestions for improvement. Benefits: Deeper insights into customer expectations, improved services and sustainable customer satisfaction.

Further use cases

Discover exciting use cases from different areas of the company and be inspired by how other teams find and implement innovative solutions. This exchange opens up new perspectives and creates valuable synergies for joint growth.

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