In an increasingly digital world, customers expect fast, personalized and efficient responses to their inquiries. Companies that do not adapt their customer service accordingly not only lose competitiveness, but also customer satisfaction. With our powerful tech stack, consisting of a vector database, Retrieval Augmented Generation (RAG) or Context Retrieval Augmented Generation (CRAG) and Large Language Models (LLM), Nexivis offers a state-of-the-art chatbot solution for customer service. In this article, we explain when the Nexivis.ai solution for your chatbot support is the best choice for your company.
The use of AI chatbots has proven to be essential for efficient customer service. Companies with an annual turnover of EUR 15 million or more are often faced with the challenge of dealing with increasing customer inquiries in various channels. A customer service chatbot makes it possible to provide first-level support around the clock, answer frequently asked questions automatically and relieve the support team of routine tasks.
The Nexivis.ai solution is particularly suitable for medium-sized companies that require a high volume of support or complex customer interactions and deep integration of company data. It offers a scalable, AI-powered chatbot that can leverage ERP, CRM and PIM data to provide customized, accurate and efficient responses.
1️⃣ E-commerce & online retail
Typical challenges:
Many customer inquiries about orders, returns, delivery times
High ticket volume and rising API costs for AIaaS solutions
High demand for product data integration (PIM systems)
✅ Nexivis advantages:
✔ Connection to ERP & PIM for automatic response to order status inquiries
Reduces support costs by automating frequent customer queries
✔ Real-time product consulting by RAG/CRAG + LLM
2️⃣ IT and software companies (SaaS, MSPs)
Typical challenges:
Technical support with complex questions
Integration with support ticket systems & knowledge databases
High effort for onboarding & documentation search
✅ Nexivis advantages:
AI-supported first-level support for technical FAQs & troubleshooting
✔ Direct integration into service desk & CRM systems (e.g. Zendesk, HubSpot)
Reduces the ticket backlog through automated knowledge retrieval
3️⃣ Mechanical engineering & industrial companies
Typical challenges:
Complex products → Many technical support requests
Demand for system & maintenance data in real time
High costs due to manual service processes
✅ Nexivis advantages:
✔ Dynamic knowledge query from ERP & CRM systems (e.g. maintenance data, product manuals)
✔ Integration with IoT systems for real-time diagnostics
✔ Increase in first call resolution (FCR) through intelligent AI support
4️⃣ Finance & insurance companies
Typical challenges:
Regulatory requirements & GDPR-compliant customer interaction
Automation of insurance claims & contractual issues
High security requirements for customer data
✅ Nexivis advantages:
On-premise data storage on request & GDPR-compliant architecture
✔ Intelligent contract analysis with RAG-supported response generation
✔ Customer-specific advice in real time (e.g. tariff proposals, claims processing)
5️⃣ Telecommunications & energy industry
Typical challenges:
Masses of customer inquiries about tariffs, bills & faults
High costs due to hotline & call center operation
Need for omnichannel integration (web, app, telephone)
✅ Nexivis advantages:
✔ Self-service support for invoices & tariff optimization
Integration with CRM & billing systems for real-time customer care
✔ Omnichannel support for website, chat, WhatsApp & phone bots
Conclusion: For whom is Nexivis.ai particularly worthwhile?
💡 Company with:
✅ High ticket volume (> 5,000 tickets/month) and/or
✅ Complex customer inquiries that require company data
ERP/CRM integration for real-time support
✅ Need for scaling to reduce support costs in the long term
For smaller companies (<500 tickets/month) with standard requests, an AIaaS solution would be more economical.
➡ Nexivis.ai is the perfect chatbot support solution for data-driven, medium-sized companies with high support requirements and/or customization needs!
1. vector database
By using a powerful vector database, customer interactions and historical support requests are efficiently stored and categorized. This allows the chatbot to generate relevant answers in real time by analyzing similar requests and their solutions.
2 RAG and CRAG technology
With Retrieval-Augmented Generation (RAG) or Context-Retrieval-Augmented Generation (CRAG), our chatbot combines generative AI with a targeted transfer of information from trustworthy data sources. As a result, users receive more precise and contextualized answers compared to conventional AI chatbots.
3. large language models (LLM)
Our chatbot platform uses advanced LLMs to not only provide pre-formulated answers, but also to process complex customer queries in a meaningful way and offer understandable explanations.
1. e-commerce platforms: Customers receive immediate answers about products, shipping status and returns.
2. CRM systems: Companies can store customer data efficiently and use it to personalize support bots.
3. B2B companies: Automated customer care relieves sales and support teams and improves lead qualification.
4. IT support: AI-supported chatbots help with troubleshooting and forward complex problems to customer service.
With our innovative AI-powered chatbot platform, we offer companies a scalable, intelligent and cost-efficient solution for customer support. Companies benefit from improved customer satisfaction, more efficient customer support and future-proof chatbot technology.
Contact us to learn more about integrating AI bots into your customer service! Experience next level chatbot customer service with Nexivis.ai.