Energy

NeN transforms customer service: 97% emotion accuracy and 50% faster response times

NeN and Stip AI: automation and AI for faster, more efficient customer service
Industry:
Energy
Company size:

+60 employees

Location:

Milan, Italy

Core features:

Ticket categorization

Emotion Analysis

AI-based data collection

Intelligent routing

Spam content archiving

Non-relevant content archiving for CS

Trend and topic analysis

Integration with Salesforce

The challenge: optimizing customer service for scalability, quality, and efficiency

NeN manages a high volume of customer service requests via email daily. Previously, the entire process was manual, causing operational inefficiencies and delays in response times. Key challenges included:

Manual identification or request of the "supply point" from customers, extending managing time.

Lack of data automation, requiring agents to request missing information from customers, slowing down service operations.

Inefficient request categorization, preventing a structured analysis of internal processes.

Limited emotion analysis, making it difficult to prioritize sensitive issues and identify critical areas in customer interactions.

With a growing number of requests and the need for a scalable and efficient service, NeN sought an innovative solution to optimize processes and support agents.

The solution: automation with Stip AI

The integration of Stip AI has transformed NeN’s request management, automating the most critical steps of the process:

Automated categorization: AI analyzes and classifies requests in real time, eliminating manual sorting.

Emotion analysis: Identifies critical process areas, customer sentiment, and priority cases.

Automated request for missing datas: If a request lacks essential information, Stip AI automatically asks the customer for additional details.

Automatic recognition: AI detects in real time the specific energy supply type referenced in the request.

Intelligent routing: Requests are assigned to the most qualified team in real time.

Topic analysis: AI recognizes trends and recurring issues, providing strategic insights for service improvement.

Follow-up detection: Stip AI identifies follow-ups to previous requests and automatically links them to the correct customer.

Spam detection and automatic closure: Non-relevant requests are identified and handled without agent intervention.

The results: increased efficiency and improved customer experience

The implementation of Stip AI has delivered measurable benefits for NeN:
85%
accuracy in automated categorization just two months after go-live
97%
accuracy in detecting emotion within the text
49%
of requests automatically linked to the “supply point” without the need for operator intervention
50%
reduction in response times

The future: an omnichannel customer service with WhatsApp and phone

Following the success of email automation, NeN is expanding Stip AI to WhatsApp and phone channels. This will enable:

Faster and more direct customer support through instant messaging and voice channels.

Increased automation of requests, further reducing agent workload.

A seamless and personalized customer experience across multiple touchpoints.

Optimized and fully monitored multichannel management.

Conclusion

By adopting Stip AI, NeN has optimized customer service operations, significantly reducing response times and improving support quality. With the upcoming expansion to WhatsApp and phone support, NeN continues to innovate in the energy sector, delivering a faster, more efficient, and customer-centric experience.

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Step into the Future of Customer Service with Stip AI

If you're seeking innovation, a customized solution, and a team of experts to propel your company into the world of cutting-edge technologies, Stip AI is the ultimate choice.