
AI reads and understands messages before your team has a chance to open them
A customer wrote about a return without using the word "return" once. Another is asking about a complaint, describing a courier issue across several sentences. By the time your team member reads the message and manually routes it to the right department, a lot of time has passed – but Context Analysis AI steps in automatically, the instant a message arrives. Every ticket immediately lands in the right folder, ready to be handled by the right person.
See how Responso helps automate customer service in businesses just like yours
Meet Context Analysis AI by Responso



Enable with one click – or add your own context
Activating context analysis in Responso takes a single toggle. From that moment on, every new thread is automatically scanned by AI to determine its topic – no complex configuration needed. Your team member sees a clear context label before they even open the message. And if the built-in contexts aren’t enough, you can create your own custom prompt that instructs the AI how to categorise messages your way.

Use context to trigger Automated Actions
In the Automated Actions tab, you can use the topic identified by AI as a trigger for follow-up tasks. If AI labels a message as “Return”, the system can automatically send the customer instructions on how to ship the item back and instantly assign the case to the team member who handles returns exclusively. The message topic becomes the starting point of a fully automated process.

Track statistics in clear Reports
In the Responso Reports module you’ll find a dedicated breakdown of statistics by context. It’s a clean view that shows you exactly how many cases were about returns, invoice queries, or any other topic you’ve defined, over any time period you choose. Reports can be easily downloaded as CSV, XLS, or an image file to compare with your own company spreadsheets.

Without automatic sorting, you lose time and control
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77%

of customer service specialists admit that the volume and complexity of messages increased over the past year. The more e-mails that land in your inbox, the more valuable time your team wastes manually reading, sorting, and pushing them between departments.
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30%

more queries per hour is what a team member using Responso's AI features can handle. When artificial intelligence takes over all the tedious message sorting, your team can focus 100% on helping customers and closing sales.
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30%

lower operational costs are reported by companies that have implemented automatic message routing and instant topic classification.
What do you gain with Context Analysis AI from Responso?
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Every message goes straight to the right person
Returns land with the returns team. Complaints go to the complaints specialist. Product questions reach the advisor who knows the range best. AI categorises every ticket automatically, the moment it arrives – no manual reading by a manager, no waiting. The customer doesn’t lose time, and their case doesn’t bounce from desk to desk.
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Team members respond faster because they know straight away what it's about
The topic of the message is visible at a glance. Before a team member even starts reading a long customer description, they already know what kind of problem they’re dealing with. This lets them prepare a better reply, open the right documents faster, and stop wasting minutes searching for the point in lengthy messages.
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Automations that genuinely understand customer intent
The topic assigned by AI can trigger any action you’ve set up in Responso. A customer writes about a return – the system automatically sends them the form. A customer files a complaint – the case immediately gets the highest priority. No more building complex keyword-based rules that customers regularly bypass by spelling things differently. AI understands the overall meaning of what’s written, not just individual words.
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One clear chart that pinpoints the source of problems
Responso collects data on the topics of all messages and arranges it into clear Reports. At any moment you can see what customers are writing about most. That’s invaluable knowledge not just for the support team, but for the whole business – you’ll find out, for example, which product descriptions in your store are worth improving so customers need to ask about them less often.
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Works the moment you switch it on – no configuration or training needed
Context Analysis AI in Responso is ready to work in a fraction of a second. You don’t need to be a developer, train an AI model yourself, or build categories from scratch. The tool uses ready-made patterns proven in e-commerce, and becomes more accurate with every message it processes.
FAQ
Frequently asked questions
Context analysis is a feature where artificial intelligence automatically recognizes what a customer’s message is about and assigns it the appropriate label, such as “Return,” “Complaint,” or “Order question.” This means you know how to handle a request from the very first second, without reading the whole message. Context keeps your inbox organized and shortens the path from message to the right response.
The AI analyzes the content of a message right after it’s received and assigns context based on that. It doesn’t rely on simple keyword matching – it’s based on natural language understanding, so it can recognize the customer’s intent even when a specific word doesn’t appear in the message (for example, “I want to return the product” will be recognized as a return). The recognized context appears next to the ticket in the panel.
A tag can be added manually or automatically based on rigid conditions – for example, the presence of specific phrases. Automatic context detection is based on natural language analysis by artificial intelligence, which allows for much more flexibility. The AI can understand nuance and recognize the writer’s intent even when it isn’t stated directly.
Responso comes with a default set of contexts typical for e-commerce communication, such as Return, Invoice request, or Shipping status. You can also create your own contexts based on prompts you define yourself.
Yes, you decide which contexts are used on your account.
You have both options. Context can be assigned manually by an employee, or automatically by artificial intelligence right after a message is received. You decide who’s in charge of this. What’s more, a context assigned automatically can always be changed manually at any time.
Go to Company settings, open the AI tab, and select for context to be managed by artificial intelligence. From that point on, the AI assigns context to every incoming message on its own, without your team’s involvement. You can switch this setting back to manual handling at any time.
Yes – context can trigger automatic actions. For example: messages with the “Return” context can automatically receive a return form in reply, or have the ticket’s status changed. This turns simple topic recognition into a ready-made, repeatable service process.
Yes, that’s one of the main uses of this feature. If one specific person handles returns, messages with the “Return” context can go directly to them instead of landing in one shared queue. Requests reach the right hands faster, and the team doesn’t waste time sorting them manually.
Yes. The analysis is based on natural language understanding rather than a rigid list of keywords, so it handles messages regardless of how the customer phrases them. This matters a lot in cross-border e-commerce, where requests come in in different languages.
Context analysis is a feature available on every paid Responso plan.
No. Context recognition is an internal operation – it organizes and describes the ticket but doesn’t generate or send a reply to the customer on its own. Any automatic actions (such as sending a return form) only happen if you’ve set them up yourself in automatic actions.
Every message in the right place, instantly. AI sorts; your team sells.
Activate Context Analysis AI in Responso and forget about manually sorting messages in your inbox. Try the system completely free, no credit card required. Setup takes literally a moment.


































