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Then we can simply add variables where we want to store this information, refine each question. Here, I even have a chatbot that came up with a segmentation for itself, for what age group the boots are interested in, what type of ball they are interested in, and so on. This is a lot of, in a certain sense, routine work that the chatbot covers. We understand that artificial intelligence will not replace a person, but it greatly speeds up marketing processes. For example, to build such a chain, brainstorm, write creatives, create a base from which we can start.

Now I have many companies that have set KPIs fo afghanistan telegram data r their marketing directors – to think about how to implement artificial intelligence and speed up marketing processes, for example, by 20-30%.

We are also looking at what we can hand over to AI to meet marketing needs and save the team’s resources. For example, the team can focus on more detailed tasks, while AI can do the routine. This is quite acceptable, and we are actively using this approach for optimization. And this idea is not limited to the IT sector; I am increasingly hearing that soon every service will use AI. This is not about the future – we are already here, and we are already using it. So it is a matter of time. And I agree that companies that miss the moment to implement AI risk being left behind.


Whisper AI voice model
Whisper AI voice model

In addition to being able to generate text and images in a chatbot, we can also use a voice model, such as Whisper . This voice model can recognize voice messages from customers or the team and transcribe them into text, and then send text responses. I recommend trying out the Whisper model.