Chatbot service:
24/7 Customer Support
Answers without waiting times and around the clock: Recurring support questions are resolved by our Customer Service Chatbot in seconds. Accurate, context-sensitive and with consistently high quality even with 24h shifts. Automate your own customer service now.
Customers who trust our AI expertise
Always deliver the right answers. With our Customer Service Chatbot.
Customer support is a full-time job: Customers also need information outside service hours and wait too often for feedback. Recurring questions and standard information tie up support resources, even though the answers have long been in the Help Center or in internal documentation and old tickets.
Due to sluggish customer support, satisfaction with the brand decreases, resulting in loss of trust and negative reviews.
Instead of having employees answer recurring questions within limited service hours, the chatbot communicates directly with your customers. He understands the request, searches for relevant content in the connected knowledge system and provides a clearly formulated answer.
The chatbot answers standard questions expertly and reliably, so that support employees have time for complex topics. This increases both service quality and customer and employee satisfaction.
Customer Service Chatbot Packages
From a quick start with basic FAQ, to advanced automation and image processing, to complex, individually tailored support solutions: Your customer service chatbot grows with your requirements. Depending on the desired range of functions and available budget, we deliver exactly the right customer service solution.
Takeoff
Grow
Scale
This is how the customer service chatbot works:
Better with every question instead of slower!
Understanding and interpreting questions
Users write their concerns in the chat:
- “How do I reset my password?”
- “Where can I download my last invoice?
- “Where can I see the status of my order?”
Respond and guide the user
The bot recognizes user intent and searches your knowledge base for appropriate content. From this, he uses LLM skills to generate a compact, verifiable answer (including sources) and provides clarifications when inquiries are made.
Fine-tuning and monitoring
The customer service chatbot learns from feedback, cancellations and follow-up questions. Support sees in the backend where answers were missing, adds content and returns information to the system.
Christian Weise
Chief Service Officer
More customer satisfaction through less effort.
Instant answers instead of a ticket backlog
Standard questions are solved directly in the chat, around the clock and without waiting. This significantly increases accessibility and promotes user satisfaction. At the same time, the chatbot relieves support and frees up resources for complex topics.
Knowledge management always up-to-date
Training employees for new features, processes, or content is a high monetary and organizational effort. The chatbot automatically accesses new or changed information in the wiki or in your documentation and therefore always has all the latest support knowledge.
Quality through individualization
The chatbot identifies gaps in knowledge and forwards automatic alerts to customer support. In this way, the system ensures a consistently high quality of answers. Bonus feature: Through an integrated sentiment analysis, the chatbot provides a well-founded assessment of the customer's current satisfaction with the product for every contact.
LANXESS: 200,000 reports in a single search field!
What is the best way to search over 200.00 reports, some of which have been scanned, for relevant information? With our LabMind, Lanxess draws on all of the company's archived knowledge via AI-supported document search and chatbot. Simply via search input and chatbot.
- Reduction of time required through intuitive search based on natural language and highly optimized accuracy
- Access to 80% of previously unused sources of knowledge through content searchability of documents
- Making daily work easier for researchers through intuitive and creative interactions with report content
Microtech: A chatbot that brings customers & support together
With an AI-supported service chatbot, microtech answers recurring inquiries in seconds — around the clock. The support team gains time for complex cases, and customers get the right solution faster.
- By automating standardized inquiries directly in chat, the effort required for 1st level support is significantly reduced.
- A centrally maintained, verified knowledge base provides consistent and up-to-date answers — including links to appropriate help pages.
- Response times are noticeably reduced, the initial solution rate is increasing and customers receive reliable help around the clock.
FOM: Smart semester planning with AI instead of Excel
A semester plan for room occupancy at 12 locations, for 19 study programs and over 12,000 students in Excel? Better not, thought FOM too and opted for our AI & data infrastructure, which automates 83% of semester planning and thus minimizes errors and overlaps.
- Increased efficiency by reducing time spent on scheduling and room planning
- Increased accuracy and simultaneous minimization of errors through (partially) automated processes
- Resources are freed up as employees can focus on more value-creating tasks
- Higher student and teaching staff satisfaction through improved
Semester planning
Chatbot FAQ
For recurring standard questions (account, order, invoices, product how-tos). Many customers today expect to be able to solve simple issues themselves. This is exactly where the bot immediately provides reliable answers.
The bot works according to the RAG principle: It draws content from your knowledge base and formulates a short, reliable answer. This “grounding” reduces hallucinations and makes statements verifiable.
Ticket and log data can be anonymized/masked before use; only approved content is included. In this way, personal information remains protected and can be used at the same time.
If the answer is low, there is a negative mood or repeated queries, the bot automatically hands over to an agent. In doing so, he summarizes what has been said so far and suggests next steps. For a quick, human finish without frictional losses.
Typical KPIs include first contact resolution, deflection rate, time-to-answer, etc. This shows how many issues are resolved in the first contact, how many tickets avoided and how much response time and satisfaction increase.
We are looking forward to your request and are excited to see what you have in mind. With us, you'll be met with open ears, let's get started with your AI project right away. Just tell us what you need!
