Turning chats into customer knowledge: homie AI's new chat analytics is live.
26 May 2026
Your AI assistant conducts thousands of conversations with your customers every month. It knows what they ask, what's missing, what's on their minds. Until now, this knowledge has remained invisible. Chat Analytics makes it visible.
"Every conversation is a signal. homie's new Chat Analytics feature turns it into customer knowledge."
The Problem: Valuable Knowledge Gets Lost Every Day
A mid-sized online shop can easily handle 2,000 to 5,000 chats per month. No one reads through them all. The patterns hidden within — assortment gaps, knowledge gaps, recurring questions — remain invisible until problems have already escalated.
On average, 18 days pass between the first customer signal and the first response. During those 18 days, a customer asks 47 times about a product that isn't in the catalogue. Nobody notices.
Chats go nowhere. Patterns stay invisible. Reactions come weeks too late — if at all.
Every conversation is automatically analysed. Patterns become visible before they turn into problems.
Just one more step
Click on the link in the email we just sent you.
What Chat Analytics Actually Does
Chat Analytics automatically evaluates every conversation — without you having to manually read a single chat.
What You Can Actually Decide With It
Purchasing & Category Management
47 customers are asking about a product that isn't in the catalogue — Chat Analytics shows it. No gut feeling, a measurable demand. More powerful than any market research.
Content & Knowledge Management
Which FAQ entries are missing? Where does the chatbot fall short? Chat Analytics shows it in black and white — with frequency and category.
Service & Operations
When After-Sales tags suddenly dominate, something is going on — perhaps delivery issues, perhaps a surge in returns. Chat Analytics shows the peak before it lands in the support inbox.
Store Operators & Department Leads
No more manual sifting. At a glance: where are enquiries piling up? What are customers looking for — and not finding?
Sentiment: Automatically Detecting Customer Mood
The sentiment analysis runs entirely in the background. Every conversation is classified as positive, neutral or negative — directly from the conversation flow, without customers needing to actively submit a rating. Even customers who are quietly dissatisfied become visible.
The Tag System: In the Language of Retail — and Fully Customisable
What sets Chat Analytics apart from generic analytics tools is the taxonomy. The categories speak the language of retail. Pre-configured with the most important tags — and fully adaptable to your catalogue, your industry, your language.
New tags can be added with a single click, existing ones renamed or removed. That way, the system speaks exactly the language of your shop.
The Key Points at a Glance
- →Automatic evaluation of every conversation — no manual reading required
- →Automatic title, summary, sentiment and tags per chat
- →Opening topic reveals the customer's first and actual concern
- →Sentiment analysis detects mood even without active customer feedback
- →Industry-specific taxonomy: Pre-Sales, Checkout, After-Sales, Support
- →All relevant e-commerce enquiries covered — fully customisable
- →Patterns become visible before problems escalate
- →Available now for all homie AI customers — directly in the dashboard, no setup required