Customer service & analytics
Good service is measured by how quickly people get a usable answer — and how reliably complicated cases reach a human.
- articles
- 16
- min average read
- 13
- Customer service & analytics
Callback Requests in Chat: Capturing the Whole Matter
When a callback beats a chat reply, what the assistant asks first, how the request reaches your team and where the emergency number comes first.
14 min read
- Customer service & analytics
Peak season: absorbing support spikes in chat
How an AI assistant absorbs four cut-off dates of the Christmas season: knowledge base freeze, shipping cut-off, holidays and returns. With a checklist.
14 min read
- Customer service & analytics
Relieving the phone: calls the chat answers first
Which calls are pure lookups, how to survey the reasons for calls, aim the chat at them, evidence the decline and why the phone number stays visible.
13 min read
- Customer service & analytics
Spot Frustration in AI Chat and Escalate in Time
Spotting frustration in chat: how an AI assistant notices annoyance, when it hands over to a person and how you set the threshold. With a starter checklist.
12 min read
- Customer service & analytics
Appointment cancellation and rescheduling in chat
Cancellation, rescheduling, waiting list: why changing an appointment takes more effort than booking, how identity is checked and what the law says on fees.
13 min read
- Customer service & analytics
How Much Support Does an AI Assistant Really Handle?
Vendors promise 80 percent; in year one 10 to 15 is often realistic. Which automation rate is serious in the first year and how a hybrid setup raises it.
12 min read
- Customer service & analytics
Convince Skeptical Customers of Your AI Assistant
Many users approach AI chats with reserve. How a clearly labelled assistant with a visible human option and fast solutions builds real trust.
12 min read
- Customer service & analytics
Where Is My Order? AI Assistant for Shop Support
Where is my order? An AI assistant connected to your ERP answers questions on order status, shipment tracking and returns around the clock.
12 min read
- Customer service & analytics
WhatsApp Customer Service: What an Assistant Can Do
Automate customer service on WhatsApp: an AI assistant answers service enquiries in the messenger around the clock, resolves routine and hands off tricky cases.
12 min read
- Customer service & analytics
Complaints and warranty: the assistant in a dispute
Warranty or guarantee, the two-year period, the burden of proof in year one: what an AI assistant records in a complaint and what a person decides.
13 min read
- Customer service & analytics
Image Upload in AI Chat: Photo Instead of Words
72 percent of AI-using companies apply AI in customer contact (Bitkom). How image upload in a website chat clarifies requests and which rules apply to it.
12 min read
- Customer service & analytics
Conversation Analytics: Read and Improve Chats
Conversation analytics for AI chat: spot common questions, knowledge gaps and buying signals and improve your assistant step by step. With a starter checklist.
14 min read
- Customer service & analytics
Reduce Support Load With a 24/7 AI Assistant
A 24/7 AI assistant answers from FAQ and knowledge base, gives order status once your inventory system is connected and hands over to your team with context.
12 min read
- Customer service & analytics
Chat Assistant, Form or Live Chat Compared
Contact form, staffed live chat or AI assistant: cost, response time, availability and scalability compared, and which combination suits your website.
12 min read
- Customer service & analytics
When Your AI Assistant Should Hand Off to a Human
When an AI chat should hand off to a human: the four triggers, full context transfer without repetition and a clearly visible option to reach your team.
12 min read
About this category
This category covers using assistants in everyday service: availability outside business hours, relief from recurring questions, escalation rules, coordination with phone and email, and a tone that matches the company. A second focus is analysis: which questions really come in, where conversations break off, which content is missing from the website. We show how to derive concrete improvements from that — for the assistant and for the content itself. We also cover team coordination: who reviews conversation logs, how often, and which changes usually follow from that.
Which enquiries can an assistant take on in your support?
The support assistant answers recurring questions from your knowledge base and hands over what a person should settle. Conversation analytics shows where answers are still missing.